Through the Internet has become an essential for these companies and different types of transactions to perform. DM is very easy with the help of the internet on the customer site, a potential competitor, pep-spot and makes it more customizable. DM techniques that use Internet content, and structure various types of mining are included.
Content mining is the subject that a website video, audio, images and text is more focused on the present. Determined using a process where the server is accessible to users through server logs report focuses on issues. These data help to establish effective and efficient website structure. Structure mining focuses on the nature of the websites involved. It is effective in finding similarities between the different sites.
Also DM web, using tools and techniques are known as a selective about a specific product in the market can predict potential growth. Data collected has never been so easy to use and a variety of tools to collect the data and that in very simple way. DM tools, screen scraping, web harvesting and have become very easy with the help of web crawling and data requirements can be a useful style and format easily. Web from anywhere in the data collection is as easy as saying 1-2-3. Internet DM tools, the future of business trends that are effective predictors.
DM techniques for predictive analysis, can automate extraction of hidden information from large databases to be defined. DM software tools integrated with mathematical algorithms and statistical techniques are needed to use. The final product is a simple software package that can be used by non-mathematicians to effectively analyze the data.
DM, 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 is used in many applications, such as. Business intelligence DM, market research, industry research, competitive analysis is used.
DM is also known as Knowledge Discovery in Databases, because it involves the search for implicit information in large databases. The main types of DM software, clustering and segmentation software, software for statistical analysis, text analysis and mining software for information retrieval and visualization software.
DM has arrived on the scene at the moment very appropriate, helping these companies for a number of complex tasks that took centuries to achieve, but the arrival of this wonderful new technology.
Direct marketing, e - commerce, customer relationship management, healthcare, oil and gas industry, scientific testing, genetics, telecommunications, financial services and key sectors such as utilities have applied. Bilateral trade useful information for decision analysis to DM, score carding, data warehouses, text mining, decision support systems, executive information systems, management information systems and uses various techniques, such as geographic information systems.
Business intelligence is a broad area of decision making that DM is used as a tool. In fact, the use of DM in the BI application data and makes it relevant. There are different types of DM: text mining, web mining, social network DM, relational databases, DM, and graphics, audio and video DM, DM, which are used in all business intelligence applications.
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