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Mining Association Rules from Incremental Data set: Incremental Mining - Tapa blanda

Nedendla, Satyavathi; Eppakayala, Balakrishna; Abbidi, Rama

 
9786204980942: Mining Association Rules from Incremental Data set: Incremental Mining
Tapa blanda
ISBN 10: 6204980947 ISBN 13: 9786204980942
Editorial: LAP LAMBERT Academic Publishing, 2022

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2022
Idioma
Inglés
ISBN 10 
6204980947
ISBN 13 
9786204980942
Encuadernación
Tapa blanda
Número de páginas
68
Contacto del fabricante
no disponible
Persona responsable
no disponible