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ICIAP
2005
ACM
16 years 6 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 3 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
WWW
2010
ACM
16 years 1 months ago
Matrix "Bit" loaded: a scalable lightweight join query processor for RDF data
The Semantic Web community, until now, has used traditional database systems for the storage and querying of RDF data. The SPARQL query language also closely follows SQL syntax. A...
Medha Atre, Vineet Chaoji, Mohammed J. Zaki, James...
SEUS
2009
IEEE
16 years 1 months ago
Using Context Awareness to Improve Quality of Information Retrieval in Pervasive Computing
Publish-subscribe-query information broker middleware offers great promise to users of pervasive computing systems requiring access to information. However, users of publish-subscr...
Joseph P. Loyall, Richard E. Schantz
CONCUR
2009
Springer
16 years 28 days ago
Partial Order Reduction for Probabilistic Systems: A Revision for Distributed Schedulers
Abstract. The technique of partial order reduction (POR) for probabilistic model checking prunes the state space of the model so that a maximizing scheduler and a minimizing one pe...
Sergio Giro, Pedro R. D'Argenio, Luis María...