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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 8 months ago
Named entity mining from click-through data using weakly supervised latent dirichlet allocation
This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of data. NEM is potentially use...
Gu Xu, Shuang-Hong Yang, Hang Li
219
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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
167
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ACSC
2005
IEEE
16 years 1 months ago
A Delivery Framework for Health Data Mining and Analytics
The iHealth Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophistica...
Damien McAullay, Graham J. Williams, Jie Chen, Hui...
189
Voted
PKDD
2004
Springer
79views Data Mining» more  PKDD 2004»
16 years 24 days ago
A Framework for Data Mining Pattern Management
Abstract. To represent and manage data mining patterns, several aspects have to be taken into account: (i) patterns are heterogeneous in nature; (ii) patterns can be extracted from...
Barbara Catania, Anna Maddalena, Maurizio Mazza, E...
ICTAI
2002
IEEE
16 years 11 days ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...