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 ha
www-stat.wharton.upenn.edu/~stine Modern data mining combines familiar and novel statistical methods...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and b...
During the past decade there has been an explosion in computation and information tech-nology. With ...
Most data mining opportunities involve machine learning and often come with greater financial reward...
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrou...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
DATA MINING METHODS, Second Edition discusses both theoretical foundation and practical applications...
This chapter aims to introduce the common methods and practices of statistical machine learning tech...
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrou...
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote...
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine ...
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and profe...
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and profe...
www-stat.wharton.upenn.edu/~stine Modern data mining combines familiar and novel statistical methods...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and b...
During the past decade there has been an explosion in computation and information tech-nology. With ...
Most data mining opportunities involve machine learning and often come with greater financial reward...
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrou...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
DATA MINING METHODS, Second Edition discusses both theoretical foundation and practical applications...
This chapter aims to introduce the common methods and practices of statistical machine learning tech...
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrou...
The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote...
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine ...
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and profe...
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and profe...
www-stat.wharton.upenn.edu/~stine Modern data mining combines familiar and novel statistical methods...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...