Capturing evolving visit behavior in clickstream data
نویسندگان
چکیده
منابع مشابه
Capturing Evolving Visit Behavior in Clickstream Data
Many online retailers monitor visitor traffic as a measure of their stores’ success. However, summary measures such as the number of hits per month provide little insight into individual consumers’ behavior. Additionally, behavior may evolve over time, especially in a changing environment like the Internet. Understanding the nature of this evolution provides valuable knowledge that can influenc...
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Web usage mining has recently attracted attention as a viable framework for extracting useful access pattern information, such as user profiles, from massive amounts of Web log data for the purpose of Web site personalization and organization. These efforts have relied mainly on clustering or association rule discovery as the enabling data mining technologies. Typically, data mining has to be c...
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Clustering is a classic problem in the machine learning and pattern recognition area, however a few complications arise when we try to transfer proposed solutions in the data stream model. Recently there have been proposed new algorithms for the basic clustering problem for massive data sets that produce an approximate solution using efficiently the memory, which is the most critical resource f...
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ژورنال
عنوان ژورنال: Journal of Interactive Marketing
سال: 2004
ISSN: 1094-9968
DOI: 10.1002/dir.10074