Data mining methods and models
Methods and Models can be divided into three parts. The first part is a very strong 200 page review of traditional statistical techniques, specifically PCA/Factor Analysis, Multiple Regression, and ...
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Detail Informasi
Sinopsis Buku

Kode Buku	:	210757
Kode Klasifikasi	:	005.74
Judul Buku	:	Data mining methods and models
Edisi	:	1
Penulis	:	Larose, Daniel. T
Penerbit	:	Wiley
Bahasa	:	Inggris
Tahun	:	2006
ISBN	:	978-0-471-66656-1
Tajuk Subjek	:	Data Mining
Deskripsi	:	xvi, 322 hlm.; 30 cm
Eksemplar	:	3
Stok	:	3
Petugas Input	:	Suagam. S.Kom

Methods and Models can be divided into three parts. The first part is a very strong 200 page review of traditional statistical techniques, specifically PCA/Factor Analysis, Multiple Regression, and Logistic Regression. These techniques absolutely belong in the Data Miners toolkit, but on most projects won't be as important as Decision Trees (covered in the first book). However, these are classical techniques, and the typical reader may have a lot of training or/and books on this material already. Having said that, this material is extremely well written. So if you are looking for a great review of these techniques you can do much worse. If you are looking for a discussion of how the application of these techniques to data mining differs from their application to statistics, you will be disappointed.

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