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AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy
HPCA
2006
IEEE
16 years 13 hour ago
Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads
With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and d...
Aamer Jaleel, Matthew Mattina, Bruce L. Jacob
100
Voted
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 4 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
122
Voted
SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
15 years 8 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
PAKDD
2009
ACM
153views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data
Hans-Peter Kriegel, Peer Kröger, Erich Schube...