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Data Mining dan Aplikasi untuk Knowledge Management Kelompok 10 : Rendy Arsanto - 1501145770 Tris Suseno - 1501152611 Erlina Indra - 1501145713 Monyca Gunawan - 1501147763 Eva Budiarti - 1501147031 Data Mining • Data Mining adalah Langkah utama dalam menemukan pengetahuan didalam proses database (KDD) yang menghasilkan bentuk atau model yang berguna dari data. Data Mining dan KDD Process Data Mining Task • • • • • • Classification Regression Clusterring Dependency Deviation Summarization Dua Objektif dalam Pengerjaan Data Mining • Prediction Contoh : Classification, Regression dan Anomaly Detection • Description Contoh : Clustering, Association Rule Learning, dan Summarization) Knowledge Management • Menurut Mc Inerney (2002), Knowledge Management adalah Sebuah usaha untuk meningkatkan pengetahuan yang berguna didalam sebuah perusahaan. Knowledge Management : Capture and Creation Tools • • • • • • • KM Framework Knowledge-Based System(KBS) Data Mining Informasi dan Teknologi komunikasi Artificial Inteligence(AI)/Expert System (AS) Database Teknologi Modeling Aplikasi Data Mining pada Knowledge Management a) Knowledge Resources 1. Health Care Organization 2. Retailing 3. Financial / Banking 4. Small and Middle Businesses 5. Entrepreneurial Science 6. Business 7. Collaboration and Teamwork 8. Construction Industry Aplikasi Data Mining pada Knowledge Management (Cont..) b) Knowledge Types 1. Health-Care System Domain 2. Construction Industry Domain 3. Retailing Domain 4. Financial Domain 5. Small and Middle businesses Modelling Domain 6. Research Assets Domain 7. Business Domain 8. Collaboration and Teamwork Domain Aplikasi Data Mining pada Knowledge Management (Cont..) c) Data Mining Techniques/ Aplication that used in KM 1. Classification 2. Clustering 3. Depedency Modeling