Mining Association Rules from Incremental Data set : Incremental Mining

Language: English

Published by LAP LAMBERT Academic Publishing, 2022

6204980947 / 9786204980942

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nach der Bestellung gedruckt Neuware - Printed after ordering - Association Rule Mining (ARM) in data mining provides quality association rules based on measures such as support and confidence. These rules are interpreted by domain experts for making well-informed decisions. However, there is an issue with ARM when the dataset is subjected to changes from time to time. Discovering rules by reinventing wheel, scanning entire dataset every time in other words, consumes more memory, processing power and time. This is still an open problem due to proliferation of different data structures being used for extracting frequent item sets. An algorithm is proposed for update of mined association rules when dataset changes occur. The proposed algorithm outperforms the traditional approach as it mines association rules incrementally and dynamically updates mined association rules.

Seller Inventory # 9786204980942

Title
Mining Association Rules from Incremental Data set : Incremental Mining
Author
Balakrishna Eppakayala
Publisher
LAP LAMBERT Academic Publishing
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6204980947
ISBN 13
9786204980942
Item weight
119 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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