What are the major comparisons or differences between Web mining and data mining?
Mike Jennings’ Answer: Data mining involves using techniques to find underlying structure and relationships in large amounts of data. The term data mining originated from database marketing industry. Data mining products tend to fall into five categories: neural networks, knowledge discovery, data visualization, fuzzy query analysis and case-based reasoning. Some uses of data mining include cross-selling (analyzing patterns of products frequently purchased together), response modeling (predicting which customers are likely to purchase based on purchase history), and segmentation and profiling (understanding customer segments by profiling archetypal customers). Common applications include mass mailing/telemarketing, medical diagnosis, credit card fraud and computer intrusion detection.
Web mining involves the analysis of Web server logs of a Web site. The Web server logs contain the entire collection of requests made by a potential or current customer through their browser and responses by the Web server. The information in the logs varies depending on the log file format and option selected on the Web server. Analysis of the Web logs can be insightful for managing the corporate e- business on a short-term basis; the real value of this knowledge is obtained through integration of this resource with other customer touchpoint information. Common applications include Web site usability, path to purchase, dynamic content marketing, user profiling through behavior analysis and product affinities.
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