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» Massive Data Pre-Processing with a Cluster Based Approach
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IADIS
2008
15 years 4 months ago
Design of an Automated System for Clustering Heterogeneous Data
The goal of this work is to study the feasibility of a Heterogeneous Data Classification and Search (HDCS) system and to provide a possible design for its implementing. In order t...
Dorin Carstoiu, Alexandra Cernian, Adriana Olteanu...
ICWN
2008
15 years 4 months ago
Coverage Efficient Clustering Method Based on Time Delay for Wireless Sensor Networks
Energy efficient operations are essential to increase the lifetime of wireless sensor network. A clustering-based protocol is one approach that reduces energy by a data aggregation...
Ji Gong, Hyuntae Kim, Gihwan Cho
112
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ACMSE
2007
ACM
15 years 7 months ago
Verifying design modularity, hierarchy, and interaction locality using data clustering techniques
Modularity, hierarchy, and interaction locality are general approaches to reducing the complexity of any large system. A widely used principle in achieving these goals in designin...
Liguo Yu, Srini Ramaswamy
UAI
2008
15 years 4 months ago
Learning and Solving Many-Player Games through a Cluster-Based Representation
In addressing the challenge of exponential scaling with the number of agents we adopt a cluster-based representation to approximately solve asymmetric games of very many players. ...
Sevan G. Ficici, David C. Parkes, Avi Pfeffer
BMCBI
2008
102views more  BMCBI 2008»
15 years 3 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee