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KDD
2005
ACM
171views Data Mining» more  KDD 2005»
16 years 4 months ago
Deriving marketing intelligence from online discussion
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion and commentary a...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 4 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
16 years 4 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley
HPCA
2003
IEEE
16 years 4 months ago
Evaluating the Impact of Communication Architecture on the Performability of Cluster-Based Services
We consider the impact of different communication architectures on the performability (performance + availability) of cluster-based servers. In particular, we use a combination of ...
Kiran Nagaraja, Neeraj Krishnan, Ricardo Bianchini...
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