Mining Association Rules from Incremental Data set: Incremental Mining - Brossura

Nedendla, Satyavathi; Eppakayala, Balakrishna; Abbidi, Rama

 
9786204980942: Mining Association Rules from Incremental Data set: Incremental Mining
Brossura
ISBN 10: 6204980947 ISBN 13: 9786204980942
Casa editrice: LAP LAMBERT Academic Publishing, 2022

Sinossi

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.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
6204980947
ISBN 13 
9786204980942
Rilegatura
Copertina flessibile
Numero di pagine
68
Contatto del produttore
non disponibile
Persona responsabile
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