Data Mining Technique and Applications : Mining Method for Long Pattern from Database

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

6203028614 / 9786203028614

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nach der Bestellung gedruckt Neuware - Printed after ordering - Mining high utility item sets from a transactional database refers to the discovery of item sets with high utility like profits. Although a number of relevant algorithms have been proposed in recent years, they incur the problem of producing a large number of candidate item sets for high utility item sets. Such a large number of candidate item sets degrades the mining performance in terms of execution time and space requirement. The situation may become worse when the database contains lots of long transactions or long high utility item sets.In this Book , we propose algorithm namely Improved mining algorithm (Utility Pattern Growth plus) for mining high utility item sets with a set of effective strategies for pruning candidate item sets. The information of high utility item sets is maintained in a tree-based data structure named UP-Tree (Utility Pattern Tree) such that candidate item sets can be generated efficiently with only two scans of database. The performance of UP-Growth and UP Growth+ is compared with the state-of-the-art algorithms on many types of both real and synthetic datasets.…

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Bibliographic details

Title
Data Mining Technique and Applications : Mining Method for Long Pattern from Database
Author
Monali Vasantarao Deshmukh
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6203028614
ISBN 13
9786203028614
Item weight
113 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

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