NDLI: An approach to the construction of event archipelago for chance discovery via genetic algorithm based on correlation matrix

Content Provider	IEEE Xplore Digital Library
Author	Zhenya Zhang Lin Zhang Shuguan Zhang
Copyright Year	2009
Description	Author affiliation: Key Laboratory of Intelligent Building, Anhui Province, Anhui University of Architecture, Hefei, China (Zhenya Zhang) \|\| Department of Information and Intelligence, Shiyan Technical Institute, China (Lin Zhang) \|\| Department of Statistics&Finance, University of Science and Technology of China, Hefei China (Shuguan Zhang)
Abstract	Chance discovery is a new research topic on cognition psychology inspired deep data analysis. Scene is the contact point of human process and computer process in the double helical model of chance discovery. Event archipelago is the basic foundation for scene construction. Event archipelago and island are defined in this paper. Problem of event archipelago for Chance Discovery based on correlation matrix is a NP hard problem and to solve this problem instantly, GeneticCEA, an approximate algorithm based on genetic algorithm is presented. This paper discusses the performance of GeneticCEA too. Experimental results show that GeneticCEA can run with excellent performance for clustering task while it is treated as a kind of task for the construction of event archipelago in chance discovery.
Starting Page	382
Ending Page	386
File Size	118596
Page Count	5
File Format	PDF
ISBN	9781424447541
DOI	10.1109/ICICISYS.2009.5357820
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Psychology Genetic Algorithm Data mining Intelligent structures Scene Genetic algorithms Image analysis Layout Clustering algorithms Technology forecasting Competitive intelligence Chance Discovery
Content Type	Text
Resource Type	Article

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