Online Web Research Services & Data Research, Data mining

What is data mining? And why is it so important in business? These are simple questions, but difficult to solve, below is summary information to help understand data mining and web services.

Data Mining in general terms that can be developed to provide information or knowledge useful for further analysis process from different perspectives and get a summary of valuable information to be used to increase revenue, lower costs for gathering information about the competition in business product. And data abstraction are important in the business world as helping companies harness the power of accurate information that a competitive advantage in business. And commercial enterprises can have their own magazine to help them collect, organize and mine information, such as transactional data, purchasing data, etc.

But for a mining operation and services in the premises of the warehouse is not affordable and not very cost effective solution for reliable solutions. But, if the data is the need for all businesses today. Many companies offer accurate and effective web solutions for data mining at a reasonable price.

The outsourcing of abstraction of information are available at affordable prices and is available for a wide range of solutions for data mining:

• Ensure company
• Service to collect data sets
• Information dig datasets
• Web Mining
• Market Data
• Statistical information
• Information classification
• Information regression
• analysis of structured data
• extraction of data online for details of the product to collect
• raise prices
• Collect product specification
• to collect images

Outsourcing solutions and web mining solutions for data collection is effective in reducing costs, increasing productivity at affordable rates. Benefits of data mining services are:

• clear customer service or product to understand
• or less marketing costs to a minimum
• accurate information about sales, transactions
• Detection of beneficial reasons
• to minimize risk and improve return on investment
• Identifying new markets
• Understand business problems and clear objectives

specific solutions for data mining can be an effective way to reduce costs by focusing on the right place.
Author: RITA thomson
Source: http://www.articledashboard.com

The invention of the Information Superhighway has made remarkable impact on how we live today. The world has changed and the acquisition of knowledge has never been so easy. In the business environment, competition has become a whole lot more intense. Companies that used old business models have died instantly because they never saw what lies ahead of them. A small company with enough knowledge and blazing unique ideas became a great success and became instant Icon recognizable globally in Web Marketing for Software just because they know how the game works.

Today, the game is not just about knowing how your business works. It is about knowing how will your business will be able to adapt to the rapidly changing business environment. It is about knowing what lies ahead of what is here right now. That is why companies have embraced a new generation of technologies to know this information. Data Mining is what I was referring to. Data Mining is about discovering patterns from a seemingly chaotic sets of very large information, transform this newly discovered patterns into structures that will form another sets of information from which a trend will be uncovered and eventually generate a new prediction.

Data Mining is also very useful in Search Engine Optimization process. Knowing the quantity of searches for a given keyword from certain geographic location and be able to jump in the particular sets of information could guarantee increase in high quality web visitors that would have high conversion rate. It has been a fact that organic visitors (visitors referred by search engines) are the ones that most businesses are after because of their high conversion rate. But is not enough though that having to attract visitors would guaranteed success. Data Mining is also used to interpret data collected from logs or footprints left by the visitors to know which part they probably did not liked, what they liked most and what would make them like the website more than they should to keep on patronizing the product.
Aurhor: Maria Cooper Lee
Source: http://www.articledashboard.com

With the hit of the era of information technology, we have incorporated into an ocean of information. This information explosion is based heavily on the Internet, which has become one of the global information infrastructures. We can not the fact that every day that goes deny the content of the website are growing by leaps information and as such, it becomes increasingly difficult to obtain the desired information we are really looking. Web mining is a tool that can be used in customizing Web sites based on content and also by the user. Web mining includes normal use of the contents of mines and structure.

Data mining, text mining and web mining, different techniques and procedures to provide the necessary information to the huge database, so that companies can make better business decisions with precision, therefore, data mining, text mining and Web mining helps a lot in promoting The objectives of the "customer relationship management", whose main objective is to initiate, develop relationships with customers and adapt through profiling and classification of customers.

However, there are many issues to be addressed while dealing with the process of exploring the web. Confidentiality can be said of the trigger-button issue. Recently, complaints and breaches of confidentiality concerns considerably, as traders, businesses and governments continue to collect and store the vast amount of private information. There are concerns not only the collection and compilation of private information, but also the analysis and use of such data.

Fuelled by public concern about the increasing amount of statistics and effective technologies consisting of: conflict between confidentiality and mining is probably the basis for the higher levels of inspection in the coming years. Legal disputes are also likely in this regard. There are other problems that data mining. "Incorrect information" may lead us to vague and inaccurate analysis results and recommendations.

The submission of false information or false information when importing customer data creates a real danger to the effectiveness of web mining and effectiveness. Another risk in data mining is the mining industry may be confused with data warehousing. Companies developing data warehouses without using the correct browser software are less likely at the level of accuracy and efficiency to reach and they are also less likely to take full advantage. Similarly, cross-selling cause a problem if it breaks the privacy of clients, the violation of their faith or bored with unnecessary stress.

Web mining can be a great help to improve and link marketing programs that focus on the customers' interests and needs. Despite the potential obstacles and barriers, the market for the exploration of the web to increase by several billion dollars in the coming years. Mining can identify and target potential customers, what information is "buried" in the vast databases and strengthen customer relationships.

Data mining tools can not predict future market trends and consumer behavior, which may help companies make resolutions and proactive, knowledge-based. This is one reason why data mining known as "Knowledge Discovery". It can be said of the process of analyzing data from different perspectives and sorting and grouping data identified and finally to a database of useful information, which can still be analyzed and used by companies to establish and enhance revenue generation and cost reduction.
Author:Joseph H. Hayden
Source:http://www.searcharticles.net/

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If you are looking for any sort of information small or bulk, customize as per your business requirements than you are at right place. Professionals at Outsourcing Web Research Services has more than 17 years of experience and expertise in data collection, validation, data mining, data extraction, web research services.

Data collection services you can expert:

• Research database services

• Online data collection

• Web data collection service

• Data collections from websites

• Directories data collection

• Insurance data collection

• Survey data collection services

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• Contact information, email id collection

• Product, services description collection

• Image data collection

• Healthcare data collection service

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• Legal data collection services

• Insurance data collection service

• Research data collection services etc

Experience and dedicated team of web researcher, data miners, and data extractors collects the required piece of information on behalf of customers and after quality check they prepare database for the same and deliver as per desired format to clients with in provided TAT.

Professionals here utilize advance technologies and software to meet every custom data collection requirement at 60% lower cost and 100% work satisfaction to client. Contact us now on info@outsourcingwebresearch.com to get more benefits and to know more visit us on http://www.outsourcingwebresearch.com/data-collection.php
Aurhor: Jeffrin Kaith

Overview
Data mining is the crucial process of extracting implicit and possibly useful information from data. It uses analytical and visualization techniques to explore and present information in a format which is easily understandable by humans.

Data mining is widely used in a variety of profiling practices, such as fraud detection, marketing research, surveys and scientific discovery.

In this article I will briefly explain some of the fundamentals of Data Mining and its applications in the real world.

Herein I will not discuss related processes of any sorts, including Data Extraction and Data Structuring.

The Effort
Data Mining has found its application in various fields such as data mining for financial institutions, data mining for healthcare & bio-informatics, business intelligence data mining, social networks data research and many more.

Businesses use Data Mining to understand consumer behavior, analyze buying patterns of clients and expand its marketing efforts. Banks and financial institutions use it to detect credit card frauds by recognizing the patterns involved in fake transactions.

The Knack
There is definitely a knack to Data Mining, as there is with any other field of web research activities. That is why it is referred as a craft rather than a science. A craft is the skilled practicing of an occupation.

One point I would like to make here is that data mining solutions offers an analytical perspective into the performance of a company depending on the historical data but one need to consider unknown external events and deceitful activities. On the flip side data mining is more critical especially for Regulatory bodies to forecast such activities in advance and take necessary measures to prevent such events in future.

In Closing
There are many important niches of Data Mining that this article has not covered. But I hope that this article will provide you a stage to drill down further into this subject, if you want to do so!

Should you have any queries regarding Data Mining or Web research applications, please feel free to mail me.

I would be pleased to answer each of your queries in detail. Find more information at http://www.outsourcingwebresearch.com/data-mining.php

Source: Ezinearticles.com

From large database, to extract important and hidden data (information) for predictive analysis which is technically defined as automated data mining practice.

In other words, to retrieve very crucial data from huge amount of information which is presented in an analyzed form for specific decision making consider as data mining. In the business, most of researcher, analyzer or marketers understand the value of data mining with financial data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer.

Data mining include following range of research area of internet market data research such as:
- Data Collection or Data Extraction - collecting information based on client requirements from different websites by a manual or automated process.
- Creating mailing lists with information like contact name, title, company information, address, telephone, fax, contact email, website etc. for marketing campaigns, and advertisements.
- Collecting product details like price, product description, quantity, and images or photos from other websites or product catalogs, and feeding them into content management systems or online portals.
- Running customized scripts for data extraction or data capture from websites with huge volume of data which saves time and cost.
- Checking for product updates like prices, product availability or product specifications, which change frequently and updating the database of e-commerce websites.
- Populating information into desired output formats like MS Excel, MS Access, CSV formats or any other formats according to client requirements.

Data mining itself requires the use of mathematical algorithms and statistical techniques integrated with software tools. Data Mining is used in several applications like market research, consumer behavior, direct marketing, bioinformatics, genetics, text analysis, fraud detection, web site personalization, e-commerce, healthcare, customer relationship management, financial services and telecommunications.

Outsourcing Web Research has worked positively and effectively for its clients globally. Our data mining expert is well versed in the cross discipline nature of data mining in fields such as banking, insurance, e-commerce, airline, telecom, and retail.

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FOR IMMEDIATE RELEASE

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Our data mining services will benefits to you for the following users such as:

* E-Marketing Companies
* Webhosting & Design companies looking for clients
* Companies looking for specific products/suppliers
* Organizers of trade fairs
* Travel Agencies
* Publishers of Books, Magazines etc.
* Manufacturers
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Patents are not new, their presence was noted long back during 16th Centaury. In U.S. at the Constitutional Convention of 1787, a federal patent power was proposed by James Madison and Charles Pinckney and was adopted without debate as Article 1, Sec. 8, clause 8. The history of Patent Law began all the way back with the Constitution of the United States which was specific about providing protection for those who invent new and unique products. But after the TRIPS, intellectual property rights and patents gained importance to the business communities and industries. The retrieval of the patent information was made easy by internet and access to different patent databases. Patent are the source of the technological innovation and detailed mining of patent literature is proven to be useful of the Completive Intelligence.

This article attempts to analyze importance and methods for the patent data mining and their future use in the competitive intelligence. The key issues discussed in this article are:

a. Importance of the patent data mining;

b. Using patent data for competitive intelligence

Data Mining is a process of discovering meaningful new correlations, patterns and trends by sifting through large amounts of data stored in repositories, using statistical, data analysis and mathematical techniques. Patents are the most valuable and comprehensive source of the technological information and thus are very crucial for the industries. A very strong patent portfolio and IPR system is needed for a industry to compete the global market. An organization’s patent portfolio forms a critical part of its IP holdings alongside its designs, trademarks, copyrights and trade secrets. Much of the value from a portfolio can only be realized through its effective management. In turn, that requires tools and techniques to help understand portfolio content, how and where this fits in with the organization’s competencies and what the market opportunities are for exploiting the technology owned.

There is also a need to identify gaps where complementary technology can be licensed in and identify non-core technology where know-how can be licensed out or divested for financial return. This is the province of patent mining. A clear and effective IP strategy critically incorporates a clear and effective strategy for managing an organization’s patent portfolio.

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Outsourcing Web Research offers a complete variety of web research solutions to different industries and businesses. Our expertise in knowledge management and web research services helps us carve out customized research solutions for our clients. A few of them are listed below.

Web Data Mining and listing
Address and E-mail compilation
Database Building
Populate database of E-commerce
Websites/Online stores through
Web research and product research
Market research
Web survey and analysis
Updating Lists
Validation of addresses
Enhancement of Customer List

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We carry out the whole procedure from scratching to creating your own significant database. Outsourcing Web Research is one of the best business processing outsourcing organizations in the business.

Outsourcing Web Research has best infrastructure includes 200+ workstations supported by advanced technologies for operational efficiency and optimum security of your data and information. To get more information about our web research services, please contact us at: http://www.outsourcingwebresearch.com/contactus.php OR e-mail us at: info@outsourcingwebresearch.com

Source: http://www.prlog.org/10455867-absolute-web-research-services-at-cost-effective-rate.html

Article Source: http://EzineArticles.com/?expert=Jitesh_Arora

For most industries that maintain databases, from patient history in the healthcare industry to account information for the financial and banking sectors, data entry costs are a significant expense for maintaining good records. After data enters a system, performing operations and data mining extractions on the information is a long process that becomes more time consuming as a database grows.

Data automation is essential for reducing operational expenses on any type of stored data. Having data entrants performing every necessary task becomes cost prohibitive quickly. Utilizing software solutions to automate database operations is the ultimate answer to leveraging information without the associated high cost.

Data Mining Simplified

Data management software will greatly enhance the productivity of any data entrant or end user. In fact, effective programs offer macro recording that can turn any user into a data entry expert. For example, a user can perform an operation on a single piece of data and "record" all the actions, keystrokes, and mouse clicks into a program. Then, the computer software can repeat that task on every database entry automatically and at incredible speeds.

Data mining often requires a decision making process; a recorded macro is only going to perform tasks and not think about what it is doing. Software suites are able to analyze data, decide what action needs to be performed based on user specified criteria, and then iterate that process on an entire database. This function nearly eliminates the need for a human to have to manually look at data to determine its content and the necessary operation.

Read more...

Data mining is a tool to transform data into information. Useful data gets generated every year. To search particular information from them required lots of time. To save such time and make it precise data mining come into the picture. Web data mining is a process of colleting information from web structure, content and usage. To do this task, experts must have essential knowledge.

Data Entry India offer highly accurate web data mining services to their clients. Our experience in web data mining structure, data mining statistical software and data manipulation makes us best choice for clients. We offer excellent web data mining services for first few hours absolutely free, post your requirement now at: http://www.dataentryindia.comcontactus.php

We can meet deadline for any size of web data mining requirements for any kind of industry. We can manage:

• Web Structure Mining

• Web Content Mining

• Web Usages Mining

You get money-spinning web data mining services with various benefits:

• We offer up to 60% Savings on web data mining services.

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So outsourcing your requirements to Data Entry India enables you to save time and money without compromising to quality of output. Just check out http://www.dataentryindia.com/data_processing/data_minin ... to know more about the data mining services. You can also mail us your requirements directly at info@dataentryindia.com

Introduction:

Most marketers understand the value of collecting financial data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer. Data mining - technologies and techniques for recognizing and tracking patterns within data - helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, customer needs as well as financial need. In this accessible introduction, we provides a business and technological overview of data mining and outlines how, along with sound business processes and complementary technologies, data mining can reinforce and redefine for financial analysis.

Objective:

1. The main objective of mining techniques is to discuss how customized data mining tools should be developed for financial data analysis.

2. Usage pattern, in terms of the purpose can be categories as per the need for financial analysis.

3. Develop a tool for financial analysis through data mining techniques.

Data mining:

Data mining is the procedure for extracting or mining knowledge for the large quantity of data or we can say data mining is "knowledge mining for data" or also we can say Knowledge Discovery in Database (KDD). Means data mining is : data collection , database creation, data management, data analysis and understanding.

There are some steps in the process of knowledge discovery in database, such as

1. Data cleaning. (To remove nose and inconsistent data)

2. Data integration. (Where multiple data source may be combined.)

3. Data selection. (Where data relevant to the analysis task are retrieved from the database.)

4. Data transformation. (Where data are transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations, for instance)

5. Data mining. (An essential process where intelligent methods are applied in order to extract data patterns.)

6. Pattern evaluation. (To identify the truly interesting patterns representing knowledge based on some interesting measures.)

7. Knowledge presentation.(Where visualization and knowledge representation techniques are used to present the mined knowledge to the user.)

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Data mining can be technically defined as the automated extraction of hidden information from large databases for predictive analysis. In other words, it is the retrieval of useful information from large masses of data, which is also presented in an analyzed form for specific decision-making.

Data mining requires the use of mathematical algorithms and statistical techniques integrated with software tools. The final product is an easy-to-use software package that can be used even by non-mathematicians to effectively analyze the data they have. Data Mining is used in several applications like market research, consumer behavior, direct marketing, bioinformatics, genetics, text analysis, fraud detection, web site personalization, e-commerce, healthcare, customer relationship management, financial services and telecommunications.

Outsourcing Web Research is an outsourcing company providing business process outsourcing services and having specialization in low cost data mining services. We provide most effective and fast data mining services which help our clients to grow their business efficiently and productivity. We are providing FREE data mining services for first few hours without any hidden cost.

Data mining services that we offer help businesses to get critical information for their analysis and marketing campaigns. As this process requires professionals with good knowledge in internet research or online research, customers can take advantage of outsourcing their data mining projects and utilize Outsourcing Web Research resources at a very competitive price. We offer comprehensive range of data mining services at 60% cutting rates.

Outsourcing Web Research provides the following Data Mining services like:
• Data Mining to extract meta data from websites
• Data Mining from competitors’