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» Mining evolving data streams for frequent patterns
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KDD
2003
ACM
124views Data Mining» more  KDD 2003»
15 years 10 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
15 years 10 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
15 years 10 months ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
15 years 10 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
ECOOP
1998
Springer
15 years 1 months ago
Synthesizing Object-Oriented and Functional Design to Promote Re-Use
Many problems require recursively speci ed types ofdata and a collection of tools that operate on those data. Over time, these problems evolve so that the programmer must extend t...
Shriram Krishnamurthi, Matthias Felleisen, Daniel ...