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TKDE
2002
133views more  TKDE 2002»
15 years 5 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
TKDE
2002
127views more  TKDE 2002»
15 years 5 months ago
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach
A join-index is a data structure used for processing join queries in databases. Join-indices use precomputation techniques to speed up online query processing and are useful for da...
Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Siva...
TSE
2002
96views more  TSE 2002»
15 years 5 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian
ICPP
2008
IEEE
16 years 8 days ago
Mapping Algorithms for Multiprocessor Tasks on Multi-Core Clusters
In this paper, we explore the use of hierarchically structured multiprocessor tasks (M-tasks) for programming multi-core cluster systems. These systems often have hierarchically s...
Jörg Dümmler, Thomas Rauber, Gudula R&uu...
BMCBI
2008
142views more  BMCBI 2008»
15 years 6 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...