Tree-based Algorithms for Incremental, Utility, and Fuzzy Data Mining

Lin Jerry Chun-Wei

ISBN 10: 3659677221 / ISBN 13: 9783659677229

Published by LAP Lambert Academic Publishing, 2015

About this Item

LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS.

Seller Inventory # ERICA75836596772215

Bibliographic Details

• Title: Tree-based Algorithms for Incremental, Utility, and Fuzzy Data Mining
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3659677221
• ISBN 13: 9783659677229
• Binding: Paperback
• Condition: Like New
• Book Type: book

About this title

Synopsis

In the first part of this book, three Pre-FUFP maintenance algorithms are thus proposed to efficiently maintain and update the FUFP-tree structures regardless of whether records are inserted, deleted or modified in dynamic databases. In the second part of this book, a novel HUP-tree algorithm is proposed to efficiently mine the high utility itemsets based on the downward closure property. A HUP tree is first designed to keep the related information for later mining process. A HUP-growth mining algorithm is then presented to efficiently mine high utility itemsets from it. In the third part of this book, we attempt to extend the FP-tree algorithm for handling quantitative data from the global values of fuzzy regions. Thus, the fuzzy FP-tree algorithm, the compressed fuzzy frequent pattern tree (CFFP-tree) algorithm, and the upper-bound fuzzy frequent pattern tree (UBFFP-tree) algorithm are then proposed to efficiently mine the fuzzy frequent itemsets.