Mining of Data with Complex Structures

• Main Authors: Hadzic, Fedja (Author), Tan, Henry (Author), Dillon, Tharam S. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Studies in Computational Intelligence, 333
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

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 p...

Table of Contents:

• Tree Mining Problem
• Algorithm Development Issues
• Tree Model Guided Framework
• TMG Framework for Mining Ordered Subtrees
• TMG Framework for Mining Unordered Subtrees
• Mining Distance-Constrained Embedded Subtrees
• Mining Maximal and Closed Frequent Subtrees
• Tree Mining Applications
• Extension of TMG Framework for Mining Frequent Subsequences
• Graph Mining
• New Research Directions.