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Data Mining dan Aplikasi untuk Knowledge Management

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.

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Data Mining dan Aplikasi untuk Knowledge Management

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  1. Data Mining dan Aplikasi untuk Knowledge Management Kelompok 10 : Rendy Arsanto - 1501145770 Tris Suseno - 1501152611 Erlina Indra - 1501145713 Monyca Gunawan - 1501147763 Eva Budiarti - 1501147031

  2. Data Mining • Data Mining adalahLangkah utama dalam menemukan pengetahuan didalam proses database (KDD) yang menghasilkan bentuk atau model yang berguna dari data.

  3. Data Mining dan KDD Process

  4. Data Mining Task • Classification • Regression • Clusterring • Dependency • Deviation • Summarization

  5. Dua Objektif dalam Pengerjaan Data Mining • Prediction Contoh : Classification, Regression danAnomalyDetection • Description Contoh : Clustering, AssociationRuleLearning,danSummarization)

  6. Knowledge Management • Menurut Mc Inerney (2002), Knowledge Managementadalah Sebuah usaha untuk meningkatkan pengetahuan yang berguna didalam sebuah perusahaan.

  7. 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

  8. Aplikasi Data Mining pada Knowledge Management • Knowledge Resources • Health Care Organization • Retailing • Financial / Banking • Small and Middle Businesses • Entrepreneurial Science • Business • Collaboration and Teamwork • Construction Industry

  9. Aplikasi Data Mining pada Knowledge Management (Cont..) • Knowledge Types • Health-Care System Domain • Construction Industry Domain • Retailing Domain • Financial Domain • Small and Middle businesses Modelling Domain • Research Assets Domain • Business Domain • Collaboration and Teamwork Domain

  10. Aplikasi Data Mining pada Knowledge Management (Cont..) • Data Mining Techniques/ Aplication that used in KM • Classification • Clustering • Depedency Modeling

  11. Referensi • International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.2, No.5, September 2012

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