Book Searching with Recommendation Using FP – Growth, Apriori and Clustering K – Means Algorithm

Vioni H, Inez (2011) Book Searching with Recommendation Using FP – Growth, Apriori and Clustering K – Means Algorithm. Other thesis, Fakultas Ilmu Komputer, UNIKA Soegijapranata.

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Abstract

Book Searching with Recommendation is a application to find recommendation book on same categories as user input or find the recommendation on another book that another user mostly lend together. This diagram make user could find the title and number of location of book in library easily after get the recommendation. Book Searching use list of book data and transaction data library in txt database . This information used to find recommendation book. After read data information from txt file, the information is stored on Tree and Link List as data structure in Apriori and FP-Growth algorithm and Link List if using K-Means Algorithm. Information at data structure could be read to find the recommendation of user’s input. The output are recommended book and the number of place at library

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 004 Data processing & computer science
Divisions:	Faculty of Computer Science
Depositing User:	Mr Ign. Setya Dwiana
Date Deposited:	16 Mar 2016 08:49
Last Modified:	16 Mar 2016 08:49
URI:	http://repository.unika.ac.id/id/eprint/8006

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