MEMBANGUN ATURAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI SEBAGAI PERTIMBANGAN MEMBUAT ATURAN KEPENDUDUKAN

Sulianta, Feri

MEMBANGUN ATURAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI SEBAGAI PERTIMBANGAN MEMBUAT ATURAN KEPENDUDUKAN

dc.contributor.author	Sulianta, Feri
dc.date.accessioned	2017-02-03T03:08:19Z
dc.date.accessioned	2019-10-21T12:22:56Z
dc.date.available	2017-02-03T03:08:19Z
dc.date.available	2019-10-21T12:22:56Z
dc.date.issued	2016-05-28
dc.description.abstract	Data mining approach is used as a technique to obtain important information that can be used as supporting material in a decision . in this study, the association method is implemented to obtain relationship existing on population data , especially to get the relationship patterns of crime events related to characteristics of the population. In this case , invalid data and missing values must be handled carefully before building association rules. Apriori algorithm is applied to this method, since the algorithm is proven to generate rules with high degree of accuracy in establishing the pattern of connectivity between attributes . Association rules will be used as a basis for making policy related to the population problem .	en_US
dc.identifier.issn	2503-2844
dc.identifier.uri	http://repository.widyatama.ac.id/handle/123456789/7863
dc.publisher	Seminar Nasional Telekomunikasi dan Informatika (SELISIK 2016),Universitas Pasundan	en_US
dc.relation.ispartofseries	;KIN.CD.0117
dc.subject	apriori	en_US
dc.subject	association rule	en_US
dc.subject	data mining	en_US
dc.subject	demographics	en_US
dc.subject	crime	en_US
dc.subject	populations	en_US
dc.title	MEMBANGUN ATURAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI SEBAGAI PERTIMBANGAN MEMBUAT ATURAN KEPENDUDUKAN	en_US
dc.type	Presentation	en_US