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KDD
2001
ACM
226views Data Mining» more  KDD 2001»
13 years 9 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
KDD
2001
ACM
222views Data Mining» more  KDD 2001»
13 years 9 months ago
The PERSEUS Project: Creating Personalized Multimedia News Portal
This paper describes the Perseus project, which is devoted to developing techniques and tools for creating personalized multimedia news portals. The purpose of a personalized mult...
Victor Kulesh, Valery A. Petrushin, Ishwar K. Seth...
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
13 years 9 months ago
Mining top-n local outliers in large databases
Wen Jin, Anthony K. H. Tung, Jiawei Han
KDD
2001
ACM
140views Data Mining» more  KDD 2001»
13 years 9 months ago
Advances in decision tree construction
Johannes Gehrke, Wei-Yin Loh
KDD
2001
ACM
194views Data Mining» more  KDD 2001»
14 years 5 months ago
Mining Indirect Associations in Web Data
Pang-Ning Tan, Vipin Kumar
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
14 years 5 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani
KDD
2001
ACM
262views Data Mining» more  KDD 2001»
14 years 5 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
KDD
2001
ACM
237views Data Mining» more  KDD 2001»
14 years 5 months ago
Exploiting Web Log Mining for Web Cache Enhancement
Abstract. Improving the performance of the Web is a crucial requirement, since its popularity resulted in a large increase in the user perceived latency. In this paper, we describe...
Alexandros Nanopoulos, Dimitrios Katsaros, Yannis ...
KDD
2001
ACM
156views Data Mining» more  KDD 2001»
14 years 5 months ago
A Customer Purchase Incidence Model Applied to Recommender Services
In this contribution we transfer a customer purchase incidence model for consumer products which is based on Ehrenberg's repeat-buying theory to Web-based information products...
Andreas Geyer-Schulz, Michael Hahsler, Maximillian...