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» Discovering Identity Problems: A Case Study
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BMCBI
2007
207views more  BMCBI 2007»
13 years 10 months ago
Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
14 years 3 months ago
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
The data stream captured by recording inhabitantdevice interactions in an environment can be mined to discover significant patterns, which an intelligent agent could use to automa...
Edwin O. Heierman III, Diane J. Cook
BMCBI
2004
123views more  BMCBI 2004»
13 years 9 months ago
galaxieEST: addressing EST identity through automated phylogenetic analysis
Background: Research involving expressed sequence tags (ESTs) is intricately coupled to the existence of large, well-annotated sequence repositories. Comparatively complete and sa...
R. Henrik Nilsson, Balaji Rajashekar, Karl-Henrik ...
CORR
2006
Springer
91views Education» more  CORR 2006»
13 years 9 months ago
The Complexity of Mean Flow Time Scheduling Problems with Release Times
We study the problem of preemptive scheduling n jobs with given release times on m identical parallel machines. The objective is to minimize the average flow time. We show that wh...
Philippe Baptiste, Peter Brucker, Marek Chrobak, C...
APCCM
2006
13 years 11 months ago
Network data mining: methods and techniques for discovering deep linkage between attributes
Network Data Mining identifies emergent networks between myriads of individual data items and utilises special algorithms that aid visualisation of `emergent' patterns and tre...
John Galloway, Simeon J. Simoff