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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 1 days ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
PODC
2010
ACM
14 years 12 months ago
The k-bakery: local-spin k-exclusion using non-atomic reads and writes
Mutual exclusion is used to coordinate access to shared resources by concurrent processes. k-Exclusion is a variant of mutual exclusion in which up to k processes can simultaneous...
Robert Danek
ESANN
2006
15 years 1 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
KDD
2002
ACM
115views Data Mining» more  KDD 2002»
16 years 1 days ago
Collaborative crawling: mining user experiences for topical resource discovery
The rapid growth of the world wide web had made the problem of topic speci c resource discovery an important one in recent years. In this problem, it is desired to nd web pages wh...
Charu C. Aggarwal
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
15 years 5 months ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore