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» Data Mining for Genetics: A Genetic Algorithm Approach
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IV
2009
IEEE
141views Visualization» more  IV 2009»
15 years 11 months ago
Connecting Genes with Diseases
We present a visual data mining application using the combination of clinical data, pathways and biomolecular data. Using pathways to navigate and filter the clinical and molecula...
Heimo Müller, Robert Reihs, Stefan Sauer 0002...
SDM
2012
SIAM
208views Data Mining» more  SDM 2012»
13 years 6 months ago
Mining Massive Archives of Mice Sounds with Symbolized Representations
Many animals produce long sequences of vocalizations best described as “songs.” In some animals, such as crickets and frogs, these songs are relatively simple and repetitive c...
Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, K...
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
16 years 4 months ago
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
Mohammed Javeed Zaki, Markus Peters, Ira Assent, T...
SIGKDD
2002
83views more  SIGKDD 2002»
15 years 4 months ago
Towards Effective and Interpretable Data Mining by Visual Interaction
The primary aim of most data mining algorithms is to facilitate the discovery of concise and interpretable information from large amounts of data. However, many of the current for...
Charu C. Aggarwal
JPDC
2006
146views more  JPDC 2006»
15 years 4 months ago
A semi-static approach to mapping dynamic iterative tasks onto heterogeneous computing systems
Minimization of the execution time of an iterative application in a heterogeneous parallel computing environment requires an appropriate mapping scheme for matching and scheduling...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay ...