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» Evaluating algorithms that learn from data streams
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EC
2006
195views ECommerce» more  EC 2006»
15 years 7 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
SIGMOD
2005
ACM
128views Database» more  SIGMOD 2005»
16 years 7 months ago
Privacy Preserving OLAP
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
Rakesh Agrawal, Ramakrishnan Srikant, Dilys Thomas
ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
16 years 25 days ago
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
EVOW
2008
Springer
15 years 9 months ago
Improving the Performance of Hierarchical Classification with Swarm Intelligence
In this paper we propose a new method to improve the performance of hierarchical classification. We use a swarm intelligence algorithm to select the type of classification algorith...
Nicholas Holden, Alex Alves Freitas
ARCS
2004
Springer
16 years 29 days ago
Latent Semantic Indexing in Peer-to-Peer Networks
Searching in decentralized peer-to-peer networks is a challenging problem. In common applications such as Gnutella, searching is performed by randomly forwarding queries to all pee...
Xuezheng Liu, Ming Chen, Guangwen Yang