Can I read Mining of Data with Complex Structures (Studies in Computational Intelligence, 333) on EtoBox?

Mining of Data with Complex Structures (Studies in Computational Intelligence, 333) by Fedja Hadzic, Henry Tan, Tharam S. Dillon (auth.) is a nonfiction available to read on EtoBox.

What is Mining of Data with Complex Structures (Studies in Computational Intelligence, 333) about?

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 TMG

Who reads Mining of Data with Complex Structures (Studies in Computational Intelligence, 333)?

Author

Fedja Hadzic, Henry Tan, Tharam S. Dillon (auth.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2010

Language

EN

ISBN

9786613512208

Category

nonfiction

Subjects

Mathematics, Engineering, Science