Introduction to Data Mining and Analytics - 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 Analytics write by Kris Jamsa. This book was released on 2020-02-03. Introduction to Data Mining and Analytics available in PDF, EPUB and Kindle. Data Mining and Analytics provides a broad and interactive overview of a rapidly growing field. The exponentially increasing rate at which data is generated creates a corresponding need for professionals who can effectively handle its storage, analysis, and translation.
Data Mining and Analysis
Data Mining and Analysis - 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 and Analysis write by Mohammed J. Zaki. This book was released on 2014-05-12. Data Mining and Analysis available in PDF, EPUB and Kindle. A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.
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 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
Cluster Analysis and Data Mining
Cluster Analysis and 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 Cluster Analysis and Data Mining write by Ronald S. King. This book was released on 2015-05-12. Cluster Analysis and Data Mining available in PDF, EPUB and Kindle. Cluster analysis is used in data mining and is a common technique for statistical data analysis used in many fields of study, such as the medical & life sciences, behavioral & social sciences, engineering, and in computer science. Designed for training industry professionals or for a course on clustering and classification, it can also be used as a companion text for applied statistics. No previous experience in clustering or data mining is assumed. Informal algorithms for clustering data and interpreting results are emphasized. In order to evaluate the results of clustering and to explore data, graphical methods and data structures are used for representing data. Throughout the text, examples and references are provided, in order to enable the material to be comprehensible for a diverse audience. A companion disc includes numerous appendices with programs, data, charts, solutions, etc. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. FEATURES *Places emphasis on illustrating the underlying logic in making decisions during the cluster analysis *Discusses the related applications of statistic, e.g., Ward’s method (ANOVA), JAN (regression analysis & correlational analysis), cluster validation (hypothesis testing, goodness-of-fit, Monte Carlo simulation, etc.) *Contains separate chapters on JAN and the clustering of categorical data *Includes a companion disc with solutions to exercises, programs, data sets, charts, etc.
A General Introduction to Data Analytics
A General Introduction to Data Analytics - 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 A General Introduction to Data Analytics write by João Moreira. This book was released on 2018-07-18. A General Introduction to Data Analytics available in PDF, EPUB and Kindle. A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.
