Discovering Knowledge in Data Discovering Knowledge in Data
Wiley Series on Methods and Applications in Data Mining

Discovering Knowledge in Data

An Introduction to Data Mining

    • ‏82٫99 US$
    • ‏82٫99 US$

وصف الناشر

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before.
This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining.

The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢ يونيو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Wiley
البائع
John Wiley & Sons, Inc.
الحجم
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‫م.ب.‬
Practical Statistics for Data Scientists Practical Statistics for Data Scientists
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Data Mining and Business Analytics with R Data Mining and Business Analytics with R
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Data Mining and Statistics for Decision Making Data Mining and Statistics for Decision Making
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Practical Machine Learning in R Practical Machine Learning in R
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Applied Predictive Analytics Applied Predictive Analytics
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Machine Learning for Business Analytics Machine Learning for Business Analytics
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Data Science Using Python and R Data Science Using Python and R
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Data Mining and Predictive Analytics Data Mining and Predictive Analytics
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Data Science Using Python and R Data Science Using Python and R
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Data Mining and Predictive Analytics Data Mining and Predictive Analytics
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Knowledge Discovery with Support Vector Machines Knowledge Discovery with Support Vector Machines
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Practical Text Mining with Perl Practical Text Mining with Perl
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Pattern Recognition Pattern Recognition
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Data Mining and Learning Analytics Data Mining and Learning Analytics
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