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Data warehousing and Phases used in Internet Mining

Author(s): Jitender Ahlawat | Joni Birla | Mohit Yadav

Journal: International Journal of Computer Science and Management Studies
ISSN 2231-5268

Volume: 11;
Issue: 02;
Start page: 170;
Date: 2011;
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Keywords: Data warehousing and its architectures | Data Mining

In this paper, we describe the data warehousing and data mining.Data Warehousing is the process of storing the data on large scaleand Data mining is the process of analyzing data from differentperspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. As massive amount of data is continuously being collected and stored, many industries are becoming interested in mining some patterns (association rules, correlations, clusters etc) from their database. Association rule mining is one of the important tasks that are used to find out the frequent itemset from customer ransactional database. Each transaction consists of items purchased by a customer in a visit. Internet mining is the application of data mining techniques to discover patterns from the Internet. Internet Usage Mining (IUM) is the process of application of data mining techniques over web data. The data sources are mainly the web server logs, proxy server logs and cookies stored in the user’s computer. IUM is composed of three phases namely, preprocessing, pattern discovery and pattern analysis. This paper describes these phases in detail. A necessary introduction to Internet Mining is also provided for the purpose of background knowledge.
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