Читайте только на Литрес

Kitap dosya olarak indirilemez ancak uygulamamız üzerinden veya online olarak web sitemizden okunabilir.

Основной контент книги Data Mining and Statistics for Decision Making
Metin PDF

Cilt 717 sayfalar

0+

Data Mining and Statistics for Decision Making

Читайте только на Литрес

Kitap dosya olarak indirilemez ancak uygulamamız üzerinden veya online olarak web sitemizden okunabilir.

₺4.669,77
%10 indirim al
Bu kitabı önerin ve arkadaşınız kitabı satın aldığında ₺466,98 kazanın.

Kitap hakkında

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

Giriş yapın, kitabı değerlendirmek ve yorum yapmak için
Kitab «Data Mining and Statistics for Decision Making» — saytda onlayn oxuyun. Şərh və rəylərinizi qeyd edin, sevimlilərinizi seçin.
Yaş sınırı:
0+
Litres'teki yayın tarihi:
10 nisan 2018
Hacim:
717 s.
ISBN:
9780470979167
Toplam boyut:
12 МБ
Toplam sayfa sayısı:
717
Metin
Ortalama puan 4,7, 256 oylamaya göre
Ses
Ortalama puan 4,2, 736 oylamaya göre
Metin
Ortalama puan 4,9, 57 oylamaya göre
Metin
Ortalama puan 4,9, 2621 oylamaya göre
Ses
Ortalama puan 4,8, 71 oylamaya göre
Metin PDF
Ortalama puan 0, 0 oylamaya göre