Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition
Bruce Ratner

Informasi Umum

Kode

17.01.473

Klasifikasi

658.872 - Telemarketing, Direct marketing, Direct-mail marketing, Direct selling, Multilevel marketing, Pyramid marketing, Television selling, Catalog, Online, Telephone-order marketing

Jenis

Buku - Circulation (Dapat Dipinjam)

Subjek

Data Compression-telecommunications, Database Marketing-statistical Methods, Data Mining,

No. Rak

22

Dilihat

3 kali

Informasi Lainnya

Abstraksi

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining Big Data, contained 17 chapters of innovative and practical statistical data mining techniques. In this second edition, renamed to reflect the increased coverage of machine-learning data mining techniques, the author has completely revised, reorganized, and repositioned the original chapters and produced 14 new chapters of creative and useful machine-learning data mining techniques. In sum, the 31 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature.

The statistical data mining methods effectively consider big data for identifying structures (variables) with the appropriate predictive power in order to yield reliable and robust large-scale statistical models and analyses. In contrast, the author's own GenIQ Model provides machine-learning solutions to common and virtually unapproachable statistical problems. GenIQ makes this possible ? its utilitarian data mining features start where statistical data mining stops.

This book contains essays offering detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. They address each methodology and assign its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.

Koleksi & Sirkulasi

Tersedia 4 dari total 4 Koleksi

Pengarang

Nama	Bruce Ratner
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	CRC Press
Kota	Boca Raton
Tahun	2011

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 1.000,00
Jenis	Sirkulasi

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