| 书目名称 | Mining of Data with Complex Structures |
| 编辑 | Fedja Hadzic,Henry Tan,Tharam S. Dillon |
| 视频video | |
| 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 |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 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 |
| 关键词 | Complex Structures; Computational Intelligence; Data Mining; Extension; Racter; bioinformatics; knowledge |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-17557-2 |
| isbn_softcover | 978-3-642-26703-1 |
| isbn_ebook | 978-3-642-17557-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2010 |
发表于 2025-3-21 16:57:36
