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» An Overview of Database Mining Techniques
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KDD
2006
ACM
147views Data Mining» more  KDD 2006»
14 years 8 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
14 years 1 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
14 years 1 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
14 years 11 days ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
ICDE
2004
IEEE
144views Database» more  ICDE 2004»
14 years 9 months ago
Spatio-Temporal Aggregation Using Sketches
Several spatio-temporal applications require the retrieval of summarized information about moving objects that lie in a query region during a query interval (e.g., the number of m...
Yufei Tao, George Kollios, Jeffrey Considine, Feif...