WEB MINING UNTUK PENCARIAN DOKUMEN BAHASA INGGRIS MENGGUNAKAN HILL CLIMBING AUTOMATIC CLUSTERING

Eldira , Hervilorra and K , ENTIN MARTIANA and MUBTADA�I , NUR ROSYID (2010) WEB MINING UNTUK PENCARIAN DOKUMEN BAHASA INGGRIS MENGGUNAKAN HILL CLIMBING AUTOMATIC CLUSTERING. EEPIS Final Project.

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Abstract

Web Mining for looking english language document use Hill Climbing Automatic Clustering is the one application of searching document method based on key word that entered by user. Key word is entered will be processed use text mining for to lose word not usefull and to get base form. Beside of, on the document is processed by text mining and word total calculation, from word total then clustered by CLHM(Centroid Linkage Hierarchical Method). For total cluster, user not to know how many right total for cluster documents. So, using Hill Climbing Automatic Clustering to function identify about movement variance from each phase formation cluster and analyze pattern so that cluster total will be formed in automatic. The use of text mining, clustering by CLHM and Hill Climbing Automatic Clustering process to make easy user because get result clustering precisely and automaticaly.

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