Data Mining, Statistical Data Analysis, or, Advanced Analytics: methodology, Implementation, and Applied Techniques  

Oleh:

Little, Bert ; Schucking, Michael

Jenis: Article from Books - Reference
Dalam koleksi: The SAGE Handbook of Online Research Methods, page 419-442.
Topik: Data Mining; Statistical Data Analysis; Discovery Data Mining; The Mechanics of Applying Advanced Analytic Application; Centre for Agribusiness Excellence

Ketersediaan

Perpustakaan PKPM Nomor Panggil: 301.150.1 SAG 7 Non-tandon: tidak ada Tandon: 1

Lihat Detail Induk

Isi artikel

This chapter is arranged in four parts. First, the introduction provides an overview of data mining, and the controversy surrounding it. Section II, Methodology, gives an overview of the various methods used in data mining, and how they relate to traditional statistical analysis. Section III, Mechanics of Implementation, covers how the analyst may use data mining and the data structures and practical approaches to using the data mining techniques discussed in Section II. Finally, in Section IV, Results and Interpretation, a case study is presented of the authors' data mining research for the United States Departement of Agriculture Risk Management Agency Strategic Data Acquisition and Analysis in cost avoidance through prevention of fraud, waste, and abuse. The case study shows how data mining techniques can be used against white collar crime.

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