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

Language: English

Published by LAP LAMBERT Academic Publishing, 2015

3659677221 / 9783659677229

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Seller Inventory # 9783659677229

Title
Tree-based Algorithms for Incremental, Utility, and Fuzzy Data Mining
Author
Jerry Chun-Wei Lin
Publisher
LAP LAMBERT Academic Publishing
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659677221
ISBN 13
9783659677229
Item weight
274 grams
Dimensions
220x150x11 mm

AHA-BUCH GmbH

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