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» Techniques of Cluster Algorithms in Data Mining
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83
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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
15 years 7 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
141
Voted
KDD
1994
ACM
116views Data Mining» more  KDD 1994»
15 years 6 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines
TC
2010
15 years 10 days ago
A Novel Weighted-Graph-Based Grouping Algorithm for Metadata Prefetching
— Although data prefetching algorithms have been extensively studied for years, there is no counterpart research done for metadata access performance. Existing data prefetching a...
Peng Gu, Jun Wang, Yifeng Zhu, Hong Jiang, Pengju ...
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
16 years 2 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 6 months ago
Similarity of Attributes by External Probes
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...
Gautam Das, Heikki Mannila, Pirjo Ronkainen