Association Rules Optimization Using Apriori and Ant Colony Algorithm - Softcover

., Priya Batta,Dr.Gurjit Singh Bhathal

9781726793704: Association Rules Optimization Using Apriori and Ant Colony Algorithm

Softcover

ISBN 10: 1726793702 ISBN 13: 9781726793704

Verlag: Independently published, 2017

Alle Exemplare dieser ISBN-Ausgabe

0 Gebraucht

1 Neu

Von EUR 7,30

Data Mining (DM) has become one of the most valuable tools for extracting and manipulating data and for establishing patterns in order to produce useful information for decision-making . DM starts with the collection and storage of data in the data warehouse. DM is a process of discovering the useful knowledge from the large amount of data where the data can be stored in databases, data warehouses (A data warehouse is a “subject-oriented, integrated, time varying, non-volatile collection of data that is used primarily in organizational decision making). The data warehouse supports on-line analytical processing (OLAP), the functional and performance requirements of which are quite different from those of the on-line transaction processing (OLTP) applications traditionally supported by the operational databases. DM also called the Knowledge Discovery in Database (KDD). KDD is used to extract the useful information from the large database or data warehouse. With DM techniques, it is possible to find relationship between diseases, effectiveness of treatments. Association rule mining (ARM) is the essential part of data mining. Association rule mining problem is to find good quality of rules between items. The good quality of rules helps in better decision making. Apriori algorithm is used to generate all significant association rules between items in the database. On the basis of Association Rule Mining and Apriori Algorithm, a new algorithm is proposed based on the Ant Colony Optimization algorithm. Ant Colony Optimization (ACO) is a meta-heuristic approach and inspired by the real behaviour of ant colonies. First association rules generated by Apriori algorithm then find the rules from weakest set based on the certain value and used the Ant Colony algorithm to reduce the association rules and discover the better quality of rules than apriori. The research work proposed focuses on improving the quality of rules generated for ACO

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.