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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 3 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
139
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 3 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 3 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
151
Voted
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 3 months ago
A data mining approach to modeling relationships among categories in image collection
This paper proposes a data mining approach to modeling relationships among categories in image collection. In our approach, with image feature grouping, a visual dictionary is cre...
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanz...
146
Voted
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
16 years 3 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
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