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Titlebook: Mining of Data with Complex Structures; Fedja Hadzic,Henry Tan,Tharam S. Dillon Book 2010 Springer-Verlag Berlin Heidelberg 2010 Complex S

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書(shū)目名稱Mining of Data with Complex Structures
編輯Fedja Hadzic,Henry Tan,Tharam S. Dillon
視頻videohttp://file.papertrans.cn/635/634684/634684.mp4
概述The state of the art of Mining of Data with Complex Structures.Clarifies the type and nature of data with complex structure including sequences, trees and graphs.Written by leading experts in this fie
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Mining of Data with Complex Structures;  Fedja Hadzic,Henry Tan,Tharam S. Dillon Book 2010 Springer-Verlag Berlin Heidelberg 2010 Complex S
描述.Mining of Data with Complex Structures:.- Clarifies the type and nature of data with complex structure including sequences, trees and graphs.- Provides a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining..-?Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints..- Outlines the implementation issues one needs to consider when developing tree mining algorithms (enumeration strategies, data structures, etc.).- Details the Tree Model Guided (TMG) approach for tree mining and provides the mathematical model for the worst case estimate of complexity of mining ordered induced and embedded subtrees..- ?Explains the mechanism of the TMG framework for mining ordered/unordered induced/embedded and distance-constrained embedded subtrees..- ?Provides a detailed comparison of the different tree mining approaches highlighting the characteristics and benefits of each approach..- ?Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies..- ?Details the extension of the TM
出版日期Book 2010
關(guān)鍵詞Complex Structures; Computational Intelligence; Data Mining; Extension; Racter; bioinformatics; knowledge
版次1
doihttps://doi.org/10.1007/978-3-642-17557-2
isbn_softcover978-3-642-26703-1
isbn_ebook978-3-642-17557-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Book 2010es a detailed background of the state-of-the-art of sequence mining, tree mining and graph mining..-?Defines the essential aspects of the tree mining problem: subtree types, support definitions, constraints..- Outlines the implementation issues one needs to consider when developing tree mining algor
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Fedja Hadzic,Henry Tan,Tharam S. DillonThe state of the art of Mining of Data with Complex Structures.Clarifies the type and nature of data with complex structure including sequences, trees and graphs.Written by leading experts in this fie
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1860-949X ications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies..- ?Details the extension of the TM978-3-642-26703-1978-3-642-17557-2Series ISSN 1860-949X Series E-ISSN 1860-9503
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Book 2010ches highlighting the characteristics and benefits of each approach..- ?Overviews the implications and potential applications of tree mining in general knowledge management related tasks, and uses Web, health and bioinformatics related applications as case studies..- ?Details the extension of the TM
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