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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 7 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan
KDD
2008
ACM
209views Data Mining» more  KDD 2008»
16 years 7 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Real-time ranking with concept drift using expert advice
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
Hila Becker, Marta Arias
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 7 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
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