Data Mining Basics

Definition and Purpose of Data Mining:

Data mining is a relatively new term that refers to the process by which predictive patterns are extracted from information.

Data is often stored in large, relational databases and the amount of information stored can be substantial. But what does this data mean? How can a company or organization figure out patterns that are critical to its performance and then take action based on these patterns? To manually wade through the information stored in a large database and then figure out what is important to your organization can be next to impossible.

This is where data mining techniques come to the rescue! Data mining software analyzes huge quantities of data and then determines predictive patterns by examining relationships.

Data Mining Techniques:

There are numerous data mining (DM) techniques and the type of data being examined strongly influences the type of data mining technique used.

Note that the nature of data mining is constantly evolving and new DM techniques are being implemented all the time.

Generally speaking, there are several main techniques used by data mining software: clustering, classification, regression and association methods.

Clustering:

Clustering refers to the formation of data clusters that are grouped together by some sort of relationship that identifies that data as being similar. An example of this would be sales data that is clustered into specific markets.

Classification:

Data is grouped together by applying known structure to the data warehouse being examined. This method is great for categorical information and uses one or more algorithms such as decision tree learning, neural networks and "nearest neighbor" methods.

Regression:

Regression utilizes mathematical formulas and is superb for numerical information. It basically looks at the numerical data and then attempts to apply a formula that fits that data.

New data can then be plugged into the formula, which results in predictive analysis.

Association:

Often referred to as "association rule learning," this method is popular and entails the discovery of interesting relationships between variables in the data warehouse (where the data is stored for analysis). Once an association "rule" has been established, predictions can then be made and acted upon. An example of this is shopping: if people buy a particular item then there may be a high chance that they also buy another specific item (the store manager could then make sure these items are located near each other).

Data Mining and the Business Intelligence Stack:

Business intelligence refers to the gathering, storing and analyzing of data for the purpose of making intelligent business decisions. Business intelligence is commonly divided into several layers, all of which constitute the business intelligence "stack."

The BI (business intelligence) stack consists of: a data layer, analytics layer and presentation layer.

The analytics layer is responsible for data analysis and it is this layer where data mining occurs within the stack. Other elements that are part of the analytics layer are predictive analysis and KPI (key performance indicator) formation.

Data mining is a critical part of business intelligence, providing key relationships between groups of data that is then displayed to end users via data visualization (part of the BI stack's presentation layer). Individuals can then quickly view these relationships in a graphical manner and take some sort of action based on the data being displayed.


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Data Mining Services

You will get all solutions regarding data mining from many companies in India. You can consult a variety of companies for data mining services and considering the variety is beneficial to customers. These companies also offer web research services which will help companies to perform critical business activities.

Very competitive prices for commodities will be the results where there is competition among qualified players in the data mining, data collection services and other computer-based services. Every company willing to cut down their costs regarding outsourcing data mining services and BPO data mining services will benefit from the companies offering data mining services in India. In addition, web research services are being sourced from the companies.

Outsourcing is a great way to reduce costs regarding labor, and companies in India will benefit from companies in India as well as from outside the country. The most famous aspect of outsourcing is data entry. Preference of outsourcing services from offshore countries has been a practice by companies to reduce costs, and therefore, it is not a wonder getting outsource data mining to India.

For companies which are seeking for outsourcing services such as outsource web data extraction, it is good to consider a variety of companies. The comparison will help them get best quality of service and businesses will grow rapidly in regard to the opportunities provided by the outsourcing companies. Outsourcing does not only provide opportunities for companies to reduce costs but to get labor where countries are experiencing shortage.

Outsourcing presents good and fast communication opportunity to companies. People will be communicating at the most convenient time they have to get the job done. The company is able to gather dedicated resources and team to accomplish their purpose. Outsourcing is a good way of getting a good job because the company will look for the best workforce. In addition, the competition for the outsourcing provides a rich ground to get the best providers.

In order to retain the job, providers will need to perform very well. The company will be getting high quality services even in regard to the price they are offering. In fact, it is possible to get people to work on your projects. Companies are able to get work done with the shortest time possible. For instance, where there is a lot of work to be done, companies may post the projects onto the websites and the projects will get people to work on them. The time factor comes in where the company will not have to wait if it wants the projects completed immediately.

Outsourcing has been effective in cutting labor costs because companies will not have to pay the extra amount required to retain employees such as the allowances relating to travels, as well as housing and health. These responsibilities are met by the companies that employ people on a permanent basis. The opportunity presented by the outsourcing of data and services is comfort among many other things because these jobs can be completed at home. This is the reason why the jobs will be preferred more in the future.


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Data Entry - Why Outsourcing Data Entry is in Demand?

Outsourcing Data Entry is most profitable term in the modern business world. You just need a loyal and reliable resource to outsource your projects. As we all know that to find proper resource for outsourcing is not an easy task but once you get it then you never have to worry about your projects. To outsource your requirements you just need high speed internet and an email account that is easily available. These reasons made outsourcing data entry work in demand.

It is also blessing term for business organizations, financial firms, medical units, telecom companies as they can't find much time to manage their data in easily accessible manners. Importance of data typing made revolution in BPO industry due that today so many data entry service providers are available. Some companies provide first time free trial offer to make you understand about work flow.

You can get many of the advantages by outsourcing your projects:

    Working experience with high skilled typist
    Quality and Accurate work flow
    Cost Effectiveness
    Time Saving
    Maximum Revenue
    Improve Efficiency

There are so many home typists also available that serve very low cost solutions but to choose them is risky. So for outsourcing you must need to choose professional organizations. Professional organizations involves full range solutions as well as individual services like online and offline entry, image entry, check processing, data processing, textual and numeric entry. You can also choose any individual service as per your requirements and all companies provide flexible pricing system for each process.

If you are a retired job person and want to earn more money then outsourcing is most reliable term for you. Just capture projects from your local area and outsource it to offshore or local companies. It will sure make you to earn thousands of dollars or pounds within short time. So these kinds of factors like flexibility, accuracy and easily accessible environment made outsourcing in demand.


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Elevate Your Business With Data Entry Services

The sole aim of many organizations is to progress well in their objectives and hire people who are good and efficient in their work. However, sometimes, there are some work profiles that are mundane in nature but equally important like data entry services. You will be amazed to know that these services also play a crucial role in building the future of an organization.

In fact, with the coming of information technology, the data entry services have actually become a kind of industry, as various businesses need accurate and detailed information for various reasons. Thus they are relying on such services that not only help them in growing but are cost effective too. These data entry services are an asset for any organization irrespective of its size in both the terms of workforce, financial status and area. With the help of such services you are able to get the information on the market trends, your clients and moreover, about the status of your own business. Hence, there is a lot of demand for data entry services in order to do great business.

As you must be aware of the fact that data entry services can be time consuming; hence it requires efficient workforce to execute various tasks perfectly and diligently. Every transaction has to be recorded, processed and analyzed so that the management or the decision-makers can have a clear picture of the actual financial standing of the company. In fact, there are many organizations that are interested in the data of company so that they can strike a business deal with the company in the future; the competitors are also the one's who are constantly following the happenings of the company. However, the most important part that constitutes group are the shareholders, employees, creditors, consumers and the market in general. Therefore, this service plays a significant role in determining the future of the company. Thus, it is taken very seriously by many business enterprises for various reasons that can elevate their businesses by many fractions.

In fact, data entry services are now being outsourced from various leading vendors to further simplify the requirements of every business. Well, these services cover many business activities like document and image processing, data conversion, image enhancement, image editing, catalog processing, and photo manipulation. In fact, you can use data entry services for transferring hard or soft copy to any database format; insurance claims entry; PDF document indexing; online data capture; product catalogs to web based systems; online order entry and follow up; creation of new databases. Moreover, banks, airlines, government agencies, direct marketing services and service providers are using these services for better businesses.

The data services are also utilized for mailing lists; data mining and warehousing; data cleansing; audio transcriptions; legal documents; indexing of vouchers and documents; hand written ballot or card entry; online completion of surveys and responses of customers for various companies. Now its up to the company to whether go for a vendor or hire in-house staff to accomplish tasks in a better way; the main purpose of this service is to offer convenience that can help in curbing time as well as other resources.



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Text Data Mining Can Be Profitable

There are billions of search terms performed on the internet every year,and the companies which make use of this vast amount of information are the ones who will be able to market effectively in the future. It is here that text data mining comes into its own, a technique which enables researchers to find patterns within groups of text which will enable them to make predictions as to how customers or other groups of people will act in the future. This article will take a look at text data mining and how we can help various groups of people to find the best things in the data analysis.

It is always a good idea to do some study of the text mining techniques before going on to text mining implementation, and this can be said to be especially true of the insurance industry where not only text mining but also generic data mining using in statistics can be a great help in determining profitability and also showing actuaries how to make future calculations.

Consultancy is an important part of text data mining, and the text mining consultant can bring a huge amount of knowledge to a company whatever the service or services that are providing, particularly if he has an extensive knowledge of text data mining technology and can help to build a system around it.

Of course it is not only commercial applications that can use text mining, because it also has used in security, in that it can help to track criminal intent on the Internet. There are also applications in the biomedical world, in order to help find clusters of data in the right way. But it is in the online world and in the field of marketing that text mining is being used extensively, particularly in customer relationship management [CRM] techniques, where the tools are among some of the most advanced.

Knowing how text mining algorithms work is essential for any consultant who works in this field, because it is an important tool in the marketing technique possibilities. By understanding how text data mining can help an organization a consultant or marketer can make great strides in profitability and this is something that most organizations would be glad for.


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How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection

Data scrape is the process of extracting data from web by using software program from proven website only. Extracted data any one can use for any purposes as per the desires in various industries as the web having every important data of the world. We provide best of the web data extracting software. We have the expertise and one of kind knowledge in web data extraction, image scrapping, screen scrapping, email extract services, data mining, web grabbing.

Who can use Data Scraping Services?

Data scraping and extraction services can be used by any organization, company, or any firm who would like to have a data from particular industry, data of targeted customer, particular company, or anything which is available on net like data of email id, website name, search term or anything which is available on web. Most of time a marketing company like to use data scraping and data extraction services to do marketing for a particular product in certain industry and to reach the targeted customer for example if X company like to contact a restaurant of California city, so our software can extract the data of restaurant of California city and a marketing company can use this data to market their restaurant kind of product. MLM and Network marketing company also use data extraction and data scrapping services to to find a new customer by extracting data of certain prospective customer and can contact customer by telephone, sending a postcard, email marketing, and this way they build their huge network and build large group for their own product and company.

We helped many companies to find particular data as per their need for example.

Web Data Extraction

Web pages are built using text-based mark-up languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. However, most web pages are designed for human end-users and not for ease of automated use. Because of this, tool kits that scrape web content were created. A web scraper is an API to extract data from a web site. We help you to create a kind of API which helps you to scrape data as per your need. We provide quality and affordable web Data Extraction application

Data Collection

Normally, data transfer between programs is accomplished using info structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and keep ambiguity to a minimum. Very often, these transmissions are not human-readable at all. That's why the key element that distinguishes data scraping from regular parsing is that the output being scraped was intended for display to an end-user.

Email Extractor

A tool which helps you to extract the email ids from any reliable sources automatically that is called a email extractor. It basically services the function of collecting business contacts from various web pages, HTML files, text files or any other format without duplicates email ids.

Screen scrapping

Screen scraping referred to the practice of reading text information from a computer display terminal's screen and collecting visual data from a source, instead of parsing data as in web scraping.

Data Mining Services

Data Mining Services is the process of extracting patterns from information. Datamining is becoming an increasingly important tool to transform the data into information. Any format including MS excels, CSV, HTML and many such formats according to your requirements.

Web spider

A Web spider is a computer program that browses the World Wide Web in a methodical, automated manner or in an orderly fashion. Many sites, in particular search engines, use spidering as a means of providing up-to-date data.

Web Grabber

Web grabber is just a other name of the data scraping or data extraction.

Web Bot

Web Bot is software program that is claimed to be able to predict future events by tracking keywords entered on the Internet. Web bot software is the best program to pull out articles, blog, relevant website content and many such website related data We have worked with many clients for data extracting, data scrapping and data mining they are really happy with our services we provide very quality services and make your work data work very easy and automatic.


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Web Data Extraction Services and Data Collection Form Website Pages

For any business market research and surveys plays crucial role in strategic decision making. Web scrapping and data extraction techniques help you find relevant information and data for your business or personal use. Most of the time professionals manually copy-paste data from web pages or download a whole website resulting in waste of time and efforts.

Instead, consider using web scraping techniques that crawls through thousands of website pages to extract specific information and simultaneously save this information into a database, CSV file, XML file or any other custom format for future reference.

Examples of web data extraction process include:
• Spider a government portal, extracting names of citizens for a survey
• Crawl competitor websites for product pricing and feature data
• Use web scraping to download images from a stock photography site for website design

Automated Data Collection
Web scraping also allows you to monitor website data changes over stipulated period and collect these data on a scheduled basis automatically. Automated data collection helps you discover market trends, determine user behavior and predict how data will change in near future.

Examples of automated data collection include:
• Monitor price information for select stocks on hourly basis
• Collect mortgage rates from various financial firms on daily basis
• Check whether reports on constant basis as and when required

Using web data extraction services you can mine any data related to your business objective, download them into a spreadsheet so that they can be analyzed and compared with ease.

In this way you get accurate and quicker results saving hundreds of man-hours and money!

With web data extraction services you can easily fetch product pricing information, sales leads, mailing database, competitors data, profile data and many more on a consistent basis.


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The Benefits of Data Outsourcing

Data is the foundation of all companies and provides a source for multiplying your company with tremendous leaps and bounds. The benefits of data entry outsourcing are numerous with expansion of methodologies, which provide your business with many other numerous benefits. Data entry is a generalized term, which entails virtual services like data mining, data conversion, image processing, web data entry, data extraction and many others. All of these tasks are very much a stronghold in getting the processes of any company streamlined without wasting time and resources.

If you think about the benefits of data-entry outsourcing, it is necessary for any company to add the need of data entry along with other important resources, which go with this task. It is also important to know the format, which the final version of data is to be utilized. You want to go for data that is available for usage in a cross platform environment.

There are many benefits of outsourcing. In today's society, data-entry services offer peace of mine as well as a sigh of relief for business owners. Here are some benefits which data-entry outsourcing companies can offer your company:

o Your complete data management needs being taken care of. When you outsource your data-entry needs to an outside company, you are going to benefit with having managed and synchronized data. This will ensure that your company will save time. The best thing about outsourcing companies is that some of the managed data can be utilized for repository purposes.

o Time is very critical when dealing with competition. You want to get data in and out of your business in order to reap the maximum possible benefits in the least amount of time. Utilizing an outsourcing company minimizes your time spent while improving the efficiency of your business processes.

o Your sole purpose for utilizing data-entry outsourcing companies should be to receive quality as well as the most quantity for your dollar. Quality cannot be compromised. Quantity also needs to be delivered fast and on time. There is no leeway given when it comes to data entry work. Receiving data-entry work on time with fast turn around allows your business to benefit with the business overhead.

o Outsourcing companies are affordable and what does this mean for your business? This will reduce your business costs while maximizing your profits.


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New Method of Market Segmentation - Combining Segmentation With Data Mining

Marketers have the ability to get high-fidelity information on their target markets through market segmentation. Market segmentation is the process of categorizing potential customers based on certain variables, such as age, gender, and income. A market segment is a group of customers that will react in the same way to a particular marketing campaign. By gathering this information, marketers can tailor their campaigns to groups of prospects to build stronger relationships with them.

Marketers gather this demographic information through surveys, usually when the customer submits a product rebate or willingly participates in a customer satisfaction survey. Over the majority of the past few decades, market segmentation consisted of differentiating prospects based on very simple variables: income, race, location, etc. While this is definitely important information to have on your target market, modern market segmentation takes into account more integrated information.

Modern segmentation breaks the market into target clusters that take into account not only standard demographics, but also other factors such as population density, psychographics, and buying and spending habits of customers. By focusing on these variables in addition to standard demographics, you can gain deeper insight into customer behavior.

Using standard demographics, you can tailor your marketing pieces to specific groups of people. But, by including these more sophisticated variables in your segmentation process, you can determine achieve a higher degree of "lift" or return on your segmentation efforts.

Segmenting your market on these factors helps you realize your total opportunity and revenue potential. It can enable you to better compete with similar product or service providers and lets you know where you stand within the game. It can help you target untapped market opportunities and allow you to better reach and retain customers.

Market segmentation depends on the gathering of high-quality, usable data. Many companies exist to gather and sell massive databases of targeted customer information, as well as providing consultation services to help you make sense of data bought or already owned. The key to the process is determining the best way to split up data.

There are essentially two methods for categorizing customers. Segments can either be determined in advance and then customers are assigned to each segment, or the actual customer data can be analyzed to identify naturally occurring behavioral clusters. Each cluster forms a particular market segment.

The benefit of cluster-based segmentation is that as a market's behavior changes, you can adapt your campaigns to better suit the cluster. The latest techniques blend cluster-based segmentation with deeper customer information acquired via data mining. Data mining uses algorithms to interrogate data within a database, and can produce information such as buying frequency and product types.

This new method of market segmentation, combining segmentation with data mining, provides marketers with high quality information on how their customers shop for and purchase their products or services. By combining standard market segmentation with data mining techniques you can better predict and model the behavior of your segments.


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Outsourcing Data Entry Services

Data or raw information is the backbone of any industry or business organization. However, raw data is seldom useful in its pure form. For it to be of any use, data has to be recorded properly and organized in a particular manner. Only then can data be processed. That is why it is important to ensure accurate data entry. But because of the unwieldy nature of data, feeding data is a repetitive and cumbersome job and it requires heavy investment, both in terms of time and energy from staff. At the same time, it does not require a high level of technical expertise. Due to these factors, data entry can safely be outsourced, enabling companies to devote their time and energy on tasks that enhance their core competence.

Many companies, big and small, are therefore enhancing their productivity by outsourcing the endless monotonous tasks that tend to cut down the organization's productivity. In times to come, outsourcing these services will become the norm and the volume of work that is outsourced will multiply. The main reason for these kinds of development is the Internet. Web based customer service and instant client support has made it possible for service providers to act as one stop business process outsourcing partners to parent companies that require support.

Data entry services are not all alike. Different clients have different demands. While some clients may require recording information coupled with document management and research, others may require additional services like form processing or litigation support. Data entry itself could be from various sources. For instances, sometimes information may need to be typed out from existing documents while at other times, data needs to be extracted from images or scanned documents. To rise up to these challenges, service providers who offer these services must have the expertise and the software to ensure rapid and accurate data entry. That is why it is important to choose your service provider with a lot of care.

Before hiring your outsourcing partner, you need to ask yourself the following questions.

* What kind of reputation does the company enjoy? Do they have sufficient years of experience? What kind of history and background does the company enjoy?

* Do they have a local management arm that you can liaise with on a regular basis?

* Do the service personnel understand your requirements and can they handle them effectively?

* What are the steps taken by the company to ensure that there is absolutely no compromise in confidentiality and security while dealing with vital confidential data?

* Is there a guarantee in place?

* What about client references?

The answers to these questions will help you identify the right partner for outsourcing your data entry service requirements.


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Data Entry Services, Benefits of Data Entry Outsourcing

Nowadays Data Entry is the fastest growing term in BPO industry. It is a most valuable term for all types of organizations and it is used to manage all types of data in to easily accessible manners. In globalized business world it covered all core business activities. For all organizations, it is always a challenge to maintain their data and it can be satisfied by professional services.

For business organizations time is money and many organizations can't spend time to manage their data. To resolve this problem BPO industry has introduced Data Entry Outsourcing. Today many organizations are outsourcing their requirements to professional organizations. Outsourcing companies offer following services for various purposes:

• Textual Data Entry
• Numerical Data Typing
• Alphanumerical Typing
• Online Form Entry
• Offline Data Solution

Different types of data typing facilitate users to get best data management. Numerous organizations are seeking online data solution according to industry standards at cost effective rates. Today due to availability of so many service providers it is now much easy and flexible to outsource requirements.

Outsourcing can help insurance companies, medical firms, telecom companies, airline companies to maintain their data. In the past all data stored on paper and kept in backyards. So to identify any previous record was always a difficult task but today there are so many technical tools are available to store data in to electronic formats. Data conversion is also a part of data typing that used to convert one file format in to other one.

Let us check benefits of data entry outsourcing as per industry standards:

• No need to develop own infrastructure resources
• Accurate results at less investments
• Awareness with outsourcing BPO world
• Understanding about how to outsource requirements
• Access for industry standard tools and techniques
• Working experience with professionals

So it is always a wise step to outsource your requirements instead of investing larger amount for infrastructure development.


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Data Mining - A Short Introduction

Data mining is an integral part of data analysis which contains a series of activities that goes from the 'meaning' of the ideas, to the 'analysis' of the data and up to the 'interpretation' and 'evaluation' of the outcome. The different stages of the technique are as follows:

Objectives for Analysis: It is sometimes very difficult to statistically define the phenomenon we wish to analyze. In fact, the business objectives are often clear, but the same can be difficult to formalize. A clear understanding of the crisis and the goals is very important setup the analysis correctly. This is undoubtedly, one of the most complex parts of the process, since it establishes the techniques to be engaged and as such, the objectives must be crystal clear and there should not be any doubt or ambiguity.

Collection, grouping and pre-processing of the data: Once the objectives of the analysis are set and defined, we need to gather or choose the data needed for the study. At first, it is essential to recognize the data sources. Usually data are collected from the internal sources as the same are economical and more dependable and moreover these data also has the benefit of being the outcome of the experiences and procedures of the business itself.

Investigative analysis of the data and their conversion: This stage includes a preliminary examination of the information available. It involves a preliminary assessment of the significance of the gathered data. An exploratory and / or investigative analysis can highlight the irregular data. An exploratory analysis is important because it lets the analyst choose the most suitable statistical method for the subsequent stage of the analysis.

Choosing statistical methods: There are multiple statistical methods that can be put into use for the purpose of analysis, so it is very essential to categorize the existing methods. The choice statistical method is case specific and depends on the problem and also upon the type of information available.

Data analysis on the basis of chosen methods: Once the statistical method is chosen, the same must be translated into proper algorithms for working out the results. Ranges of specialized and non-specialized software are widely available for data mining and as such it is not always required to develop ad hoc computation algorithms for the most 'standard' purpose. However, it is essential that the people managing the data mining method well aware and have a good knowledge and understanding of the various methods of data analysis and also the different software solutions available for the same, so that they may adapt the same in times of need of the company and can flawlessly interpret the results.

Assessment and contrast of the techniques used and selection of the final model for analysis: It is of utmost necessity to choose the best 'model' from the variety of statistical methods accessible. The selection of the model should be based in contrast with the results obtained. When assessing the performance of a specific statistical method and / or type, all other dependent and / or relevant criterions should also be considered. The other criterions may be the constraints on the company both in terms of time and resources or it may be in terms of quality and the accessibility of data.

Elucidation of the selected statistical model and its employment in the decision making process: The scope of data mining is not limited to data analysis rather it is also includes the integration of the results so as to facilitate the decision making process of the company. Business awareness, the pulling out of rules and their use in the decision process allows us to proceed from the diagnostic phase to the phase of decision making. Once the model is finalized and tested with an information set, the categorization rule can be generalized. But the inclusion of the data mining process in the business should not be done in haste; rather the same should always be done slowly, setting out sensible and logical aims. The final aim of data mining is to be an integral supporting part of the company's decision making process.


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Basics of Web Data Mining and Challenges in Web Data Mining Process

Today World Wide Web is flooded with billions of static and dynamic web pages created with programming languages such as HTML, PHP and ASP. Web is great source of information offering a lush playground for data mining. Since the data stored on web is in various formats and are dynamic in nature, it's a significant challenge to search, process and present the unstructured information available on the web.

Complexity of a Web page far exceeds the complexity of any conventional text document. Web pages on the internet lack uniformity and standardization while traditional books and text documents are much simpler in their consistency. Further, search engines with their limited capacity can not index all the web pages which makes data mining extremely inefficient.

Moreover, Internet is a highly dynamic knowledge resource and grows at a rapid pace. Sports, News, Finance and Corporate sites update their websites on hourly or daily basis. Today Web reaches to millions of users having different profiles, interests and usage purposes. Every one of these requires good information but don't know how to retrieve relevant data efficiently and with least efforts.

It is important to note that only a small section of the web possesses really useful information. There are three usual methods that a user adopts when accessing information stored on the internet:

• Random surfing i.e. following large numbers of hyperlinks available on the web page.
• Query based search on Search Engines - use Google or Yahoo to find relevant documents (entering specific keywords queries of interest in search box)
• Deep query searches i.e. fetching searchable database from eBay.com's product search engines or Business.com's service directory, etc.

To use the web as an effective resource and knowledge discovery researchers have developed efficient data mining techniques to extract relevant data easily, smoothly and cost-effectively.



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PDF Scraping: Making Modern File Formats More Accessible

Data scraping is the process of automatically sorting through information contained on the internet inside html, PDF or other documents and collecting relevant information to into databases and spreadsheets for later retrieval. On most websites, the text is easily and accessibly written in the source code but an increasing number of businesses are using Adobe PDF format (Portable Document Format: A format which can be viewed by the free Adobe Acrobat software on almost any operating system. See below for a link.). The advantage of PDF format is that the document looks exactly the same no matter which computer you view it from making it ideal for business forms, specification sheets, etc.; the disadvantage is that the text is converted into an image from which you often cannot easily copy and paste. PDF Scraping is the process of data scraping information contained in PDF files. To PDF scrape a PDF document, you must employ a more diverse set of tools.

There are two main types of PDF files: those built from a text file and those built from an image (likely scanned in). Adobe's own software is capable of PDF scraping from text-based PDF files but special tools are needed for PDF scraping text from image-based PDF files. The primary tool for PDF scraping is the OCR program. OCR, or Optical Character Recognition, programs scan a document for small pictures that they can separate into letters. These pictures are then compared to actual letters and if matches are found, the letters are copied into a file. OCR programs can perform PDF scraping of image-based PDF files quite accurately but they are not perfect.

Once the OCR program or Adobe program has finished PDF scraping a document, you can search through the data to find the parts you are most interested in. This information can then be stored into your favorite database or spreadsheet program. Some PDF scraping programs can sort the data into databases and/or spreadsheets automatically making your job that much easier.

Quite often you will not find a PDF scraping program that will obtain exactly the data you want without customization. Surprisingly a search on Google only turned up one business, (the amusingly named ScrapeGoat.com http://www.ScrapeGoat.com) that will create a customized PDF scraping utility for your project. A handful of off the shelf utilities claim to be customizable, but seem to require a bit of programming knowledge and time commitment to use effectively. Obtaining the data yourself with one of these tools may be possible but will likely prove quite tedious and time consuming. It may be advisable to contract a company that specializes in PDF scraping to do it for you quickly and professionally.

Let's explore some real world examples of the uses of PDF scraping technology. A group at Cornell University wanted to improve a database of technical documents in PDF format by taking the old PDF file where the links and references were just images of text and changing the links and references into working clickable links thus making the database easy to navigate and cross-reference. They employed a PDF scraping utility to deconstruct the PDF files and figure out where the links were. They then could create a simple script to re-create the PDF files with working links replacing the old text image.

A computer hardware vendor wanted to display specifications data for his hardware on his website. He hired a company to perform PDF scraping of the hardware documentation on the manufacturers' website and save the PDF scraped data into a database he could use to update his webpage automatically.

PDF Scraping is just collecting information that is available on the public internet. PDF Scraping does not violate copyright laws.

PDF Scraping is a great new technology that can significantly reduce your workload if it involves retrieving information from PDF files. Applications exist that can help you with smaller, easier PDF Scraping projects but companies exist that will create custom applications for larger or more intricate PDF Scraping jobs.


Source: http://ezinearticles.com/?PDF-Scraping:-Making-Modern-File-Formats-More-Accessible&id=193321

Data Mining And Importance to Achieve Competitive Edge in Business

What is data mining? And why it is so much importance in business? These are simple yet complicated questions to be answered, below is brief information to help understanding data and web mining services.

Mining of data in general terms can be elaborated as retrieving useful information or knowledge for further process of analyzing from various perspectives and summarizing in valuable information to be used for increasing revenue, cut cost, to gather competitive information on business or product. And data abstraction finds a great importance in business world as it help business to harness the power of accurate information thus providing competitive edge in business. May business firms and companies have their own warehouse to help them collect, organize and mine information such as transactional data, purchase data etc.

But to have a mining services and warehouse at premises is not affordable and not very cost effective to solution for reliable information solutions. But as if taking out of information is the need for every business now days. Many companies are providing accurate and effective data and web data mining solutions at reasonable price.

Outsourcing information abstraction services are offered at affordable rates and it is available for wide range of data mine solutions:

• taking out business data
• service to gather data sets
• digging information of datasets
• Website data mining
• stock market information
• Statistical information
• Information classification
• Information regression
• Structured data analysis
• Online mining of data to gather product details
• to gather prices
• to gather product specifications
• to gather images

Outsource web mining solutions and data gathering solutions has been effective in terms of cost cutting, increasing productivity at affordable rates. Benefits of data mining services include:

• clear customer, service or product understanding
• less or minimal marketing cost
• exact information on sales, transactions
• detection of beneficial patterns
• minimizing risk and increased ROI
• new market detection
• Understanding clear business problems and goals

Accurate data mining solutions could prove to be an effective way to cut down cost by concentrating on right place.


Source: http://ezinearticles.com/?Data-Mining-And-Importance-to-Achieve-Competitive-Edge-in-Business&id=5771888