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PKDD
2009
Springer
149views Data Mining» more  PKDD 2009»
15 years 11 months ago
Learning to Disambiguate Search Queries from Short Sessions
Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. To provide a personalized experience for ...
Lilyana Mihalkova, Raymond J. Mooney
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
15 years 10 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
CSE
2009
IEEE
15 years 11 months ago
Mining for Gold Farmers: Automatic Detection of Deviant Players in MMOGs
Abstract—Gold farming refers to the illicit practice of gathering and selling virtual goods in online games for real money. Although around one million gold farmers engage in gol...
Muhammad Aurangzeb Ahmad, Brian Keegan, Jaideep Sr...
CIKM
2004
Springer
15 years 10 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
16 years 4 months ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...