C4.5: programs for machine learning
C4.5: programs for machine learning
An Intelligent Agent for Web Advertisements
CODAS '01 Proceedings of the Third International Symposium on Cooperative Database Systems for Advanced Applications
Exploratory Data Mining and Data Cleaning
Exploratory Data Mining and Data Cleaning
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Demographic prediction based on user's browsing behavior
Proceedings of the 16th international conference on World Wide Web
Predicting clicks: estimating the click-through rate for new ads
Proceedings of the 16th international conference on World Wide Web
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The paper concerns the problem of predicting behaviour of web users, based on real historical data which constitutes an important issue in web mining. The research reported here was conducted while the authors participated in the international ECML/ PKDD 2007 Discovery Challenge competition - Track 1. The results presented here ended up as the winning solution to the contest. We describe the contest tasks and the real industrial datasets concerning the recorded behaviour of sample of Polish Web users on which our experiments were performed. We present the whole extensive experimental process from the data preprocessing phase to exploratory analysis of the data to the experimental comparison and discussion of various prediction models which we examined. As we explain, our solution has low time and space complexity, scales well with large datasets and, at the same time, produces high-quality results.