This is a discussion on what is data mining? within the XML and SOAP forums, part of the Web Development category; what is data mining? and is there any relationship between data mining with xml ????...
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| Hi Saravanan, Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.
__________________ Thanks & Regards, R.Kamalakannan. |
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| Typical tasks addressed by data mining include: * Rate customers by their propensity to respond to an offer * Identify cross-sell opportunities * Detect fraud and abuse in insurance and finance * Estimate probability of an illness re-occurrence or hospital re-admission * Isolate root causes of an outcome in clinical studies * Determine optimal sets of parameters for a production line operation * Predict peak load of a network
__________________ Thanks & Regards, R.Kamalakannan. |
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| Data, Information, and Knowledge Data Data are any facts, numbers, or text that can be processed by a computer. Today, organizations are accumulating vast and growing amounts of data in different formats and different databases. This includes: * operational or transactional data such as, sales, cost, inventory, payroll, and accounting * nonoperational data, such as industry sales, forecast data, and macro economic data * meta data - data about the data itself, such as logical database design or data dictionary definitions
__________________ Thanks & Regards, R.Kamalakannan. |
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| Information The patterns, associations, or relationships among all this data can provide information. For example, analysis of retail point of sale transaction data can yield information on which products are selling and when.
__________________ Thanks & Regards, R.Kamalakannan. |
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| Knowledge Information can be converted into knowledge about historical patterns and future trends. For example, summary information on retail supermarket sales can be analyzed in light of promotional efforts to provide knowledge of consumer buying behavior. Thus, a manufacturer or retailer could determine which items are most susceptible to promotional efforts.
__________________ Thanks & Regards, R.Kamalakannan. |
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| Data Warehouses Dramatic advances in data capture, processing power, data transmission, and storage capabilities are enabling organizations to integrate their various databases into data warehouses. Data warehousing is defined as a process of centralized data management and retrieval. Data warehousing, like data mining, is a relatively new term although the concept itself has been around for years. Data warehousing represents an ideal vision of maintaining a central repository of all organizational data. Centralization of data is needed to maximize user access and analysis. Dramatic technological advances are making this vision a reality for many companies. And, equally dramatic advances in data analysis software are allowing users to access this data freely. The data analysis software is what supports data mining.
__________________ Thanks & Regards, R.Kamalakannan. |
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| will data mining run on desktop or we need any super computers? what are requirement to do the practical work in data mining?
__________________ Thanks & Regards, Jegan CBK "We will either find a way, or make one!” |
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