Penggalian data

Penggalian atau penambangan data (Bahasa Inggris: data mining, DM) adalah proses pencarian otomatis terhadap pola dalam data dalam jumlah besar dengan menggunakan perangkat seperti klasifikasi, penggugusan (clustering), dll. Penambangan data adalah suatu topik yang kompleks dan berpautan dengan berbagai bidang inti seperti ilmu komputer dan memberikan nilai tambah dari teknik komputasi lain seperti statistika, pengambilan informasi, pembelajaran mesin, dan pengenalan pola. Data mining diterapkan dengan paradigma untuk melihat informasi yang tersembunyi.

Rujukan

• Pang-Ning Tan, Michael Steinbach and Vipin Kumar, Introduction to Data Mining (2005), ISBN 0-321-32136-7 (companion book site)
• Kurt Thearling, An Introduction to Data Mining (also available is a corresponding online tutorial)
• Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification, Wiley Interscience, ISBN 0-471-05669-3, (see also Powerpoint slides)
• Phiroz Bhagat, Pattern Recognition in Industry, Elsevier, ISBN 0-08-044538-1
• Ian Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (2000), ISBN 1-55860-552-5, (see also Free Weka software)
• Yike Guo and Robert Grossman, editors: High Performance Data Mining: Scaling Algorithms, Applications and Systems, Kluwer Academic Publishers, 1999.
• Dean W. Abbott, I. Philip Matkovsky, and John Elder IV, Ph.D. An Evaluation of High-end Data Mining Tools for Fraud Detection published a comparative analysis of major high-end data mining software tools that was presented at the 1998 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, October 12-14, 1998.
• Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm: YALE: Rapid Prototyping for Complex Data Mining Tasks, in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06), 2006.
• Mark F. Hornick, Erik Marcade, Sunil Venkayala: "Java Data Mining: Strategy, Standard, And Practice: A Practical Guide for Architecture, Design, And Implementation" (Broché)

Pranala luar

• (Inggris) Data Mining Program, University of Central Florida
• (Inggris) Andrew Moore of Carnegie Mellons tutorials
• (Inggris) A Master thesis dealing with the use of datamining in banking