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» A Perspective on Databases and Data Mining
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KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 6 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 6 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
KDD
2009
ACM
205views Data Mining» more  KDD 2009»
16 years 1 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
DASFAA
2005
IEEE
141views Database» more  DASFAA 2005»
16 years 2 days ago
Learning Tree Augmented Naive Bayes for Ranking
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
DOLAP
2004
ACM
15 years 12 months ago
Data warehouse design to support customer relationship management analyses
CRM is a strategy that integrates the concepts of Knowledge Management, Data Mining, and Data Warehousing in order to support the organization’s decision-making process to retai...
Colleen Cunningham, Il-Yeol Song, Peter P. Chen