IMPLEMENTATION OF K-MEANS ALGORITHM FOR CLUSTERING LIBRARY BOOKS

Da Silva, Yosef Natanael Montanaro (2012) IMPLEMENTATION OF K-MEANS ALGORITHM FOR CLUSTERING LIBRARY BOOKS. Other thesis, Fakultas Ilmu Komputer, UNIKA Soegijapranata.

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Abstract

with many books owned by a library, it takes more time if people want to find a book that they need. Therefore rather than see the collection of books owned one by one, a more effective and efficient method in finding the book owned by the library is need. This application will use k-means clustering method to divide the book into clusters. where the books which are grouped in one cluster are considered related. And because of the clustering process, searching method will not have to go through all the data one by one. Which will make the searching method will be more efficient. The output of this application will be books that come from same cluster as the keywords that the user entered. So it will display recommended books supposed to be related to the keywords that the user entered

Item Type:	Thesis (Other)
Subjects:	000 Computer Science, Information and General Works > 020 Library and Information Science > Library operations
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/8005

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