Clustering hasil operasi OLAP untuk datawarehouse HOTSPOT menggunakan algoritme K-means

Fuad, Tsamrul

dc.contributor.advisor	Annisa
dc.contributor.author	Fuad, Tsamrul
dc.date.accessioned	2013-02-01T06:44:07Z
dc.date.available	2013-02-01T06:44:07Z
dc.date.issued	2009
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/60249
dc.description.abstract	Hayardisi (2008) has developed a datawarehouse as tool to analyze hotspot spread. That application gives information in form of table, crosstab and graph. We improve that aplication by adding webGIS module to visualize hotspot location easily. WebGIS developed using Mapserver and chameleon.To show the distribution problem of hotspot, we clusterize number of hotspot occurencies into four classes low, medium, high and very high using k-means algorithms.	en
dc.subject	Bogor Agricultural University (IPB)	en
dc.title	Clustering hasil operasi OLAP untuk datawarehouse HOTSPOT menggunakan algoritme K-means	en