Introduction to Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Mining write by Pang-Ning Tan. This book was released on 2016. Introduction to Data Mining available in PDF, EPUB and Kindle. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Each major topic is organized into two chapters, beginni
Introduction to Data Mining
Introduction to Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Mining write by Pang-Ning Tan. This book was released on 2018-04-13. Introduction to Data Mining available in PDF, EPUB and Kindle. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Mining: Concepts and Techniques write by Jiawei Han. This book was released on 2011-06-09. Data Mining: Concepts and Techniques available in PDF, EPUB and Kindle. Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Introduction to Data Mining and its Applications
Introduction to Data Mining and its Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Data Mining and its Applications write by S. Sumathi. This book was released on 2006-10-12. Introduction to Data Mining and its Applications available in PDF, EPUB and Kindle. This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.
Discovering Knowledge in Data
Discovering Knowledge in Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Discovering Knowledge in Data write by Daniel T. Larose. This book was released on 2005-01-28. Discovering Knowledge in Data available in PDF, EPUB and Kindle. Learn Data Mining by doing data mining Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include: * Data preprocessing and classification * Exploratory analysis * Decision trees * Neural and Kohonen networks * Hierarchical and k-means clustering * Association rules * Model evaluation techniques Complete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.
