Online Web Research Services & Data Research, Data mining

If you are having through knowledge regarding internet,then every one of us suffers with downloading the content. Now a day there are lots of websites contains the valuable information on a particular topic. The content for these sources is same and having different styles.The main theme behind this content is making them appear as different.You need download the all information available in all the web sites.It is a hectic work to do.To resolve this issue, there is method called Data extraction,retrieving the unstructured data from data sources.This method is helpful to us comparison of data in different web sites.

If you find an important point related you personal need,you need to go through all web sites,copying and pasting this date in separate document.This work is look like a hell and nobody wants to do it.To resolve this issue, you need to download the data extraction services from the net.There are number of esteemed web site are providing these services to their clients.With the help of this tool,you can save your time as well as reduces the manual work.

There are some different tools for data extractions are available in internet.One of them is web extraction. This process extracts the data from all html pages of websites.Normally,this process involved in packed through different web pages, and capturing the data in unstructured format and changing them into structured one which can be saved as a record.The term data mining is also refers this process.

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What is data mining?

Powerful systems for collecting data and managing it in large databases are already in place in most large and medium-scale companies. However, the bottleneck of turning this data into your success is the difficulty of extracting knowledge about the system that you study from the collected data.

Below are all the questions that can probably be answered if information hidden among megabytes of data in your database can be found explicitly and utilized.

What goods should be promoted to this customer?

What is the probability that a certain customer will respond to a planned promotion?

Can one predict the most profitable securities to buy/sell during the next trading session?

Will this customer default on a loan or payback on schedule?

What medical diagnosis should be assigned to a particular patient?

How large are the peak loads of a telephone or energy network going to be?

Why does the facility suddenly start to produce defective goods?

Modeling the investigated system and discovering relations that connect variables in a database are the subjects of data mining.

Modern data mining system self learn from the previous history of the investigated system, formulating and testing hypotheses about the rules, which this system obeys. When concise and valuable knowledge about the system of interest had been discovered, it can and should be incorporated into some decision support system, which helps the manager to make wise and informed business decisions

For more information kindly visit http://www.eresourceerp.com/What-is-data-mining.html
Source: http://www.prlog.org/10345219-what-is-data-mining.html

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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Data research services are a fastest growing industry. There is a vast resource of information on web which can be of in good use to you. Data research is systematic gathering, evaluation and analysis of data relating to sale and distribution of financial products and services regarding consumer’s preferences.

Data research needs skilled workforce for finding data and knowledge to use a variety of online databases and sources. If there is something that you would like to know about your business and industry, online data research is the way to start researching. Online data research is a one of the most important and fascinating fact finding marketing tools.

Online data research services needs in a highly professional and competent researchers. Various kind of online data research & data research consulting services are available such as:

* Data mining
* Data cleansing
* Data gathering
* Data analysis
* Online data capture
* Data acquisition
* Data Collection
* Data population
* Data quality assurance
* Data inputting

Online data research services encompass a wide variety of businesses -legal, financial, insurance, real estate, marketing, healthcare, research, hospitality, commercial services, manufacturing, pharmaceutical, education, and several others. Online data research has revolutionized market research, providing both opportunities and challenges to researchers and users of research.

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