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» Optimizing Frequency Queries for Data Mining Applications
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ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 10 months ago
Similarity Search in Sets and Categorical Data Using the Signature Tree
Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...
Nikos Mamoulis, David W. Cheung, Wang Lian
DAWAK
2003
Springer
14 years 2 months ago
Automatic Detection of Structural Changes in Data Warehouses
Data Warehouses provide sophisticated tools for analyzing complex data online, in particular by aggregating data along dimensions spanned by master data. Changes to these master da...
Johann Eder, Christian Koncilia, Dieter Mitsche
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
14 years 2 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, ...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 9 months ago
Mining broad latent query aspects from search sessions
Search queries are typically very short, which means they are often underspecified or have senses that the user did not think of. A broad latent query aspect is a set of keywords ...
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
14 years 22 days ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....