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Introduction To Data Mining And Analytics

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Introduction To Data Mining And Analytics

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Author : Kris Jamsa
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2020-02-03

Introduction To Data Mining And Analytics written by Kris Jamsa and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-03 with Computers categories.

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.

Discovering Knowledge In Data

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Author : Daniel T. Larose
language : en
Publisher: John Wiley & Sons
Release Date : 2014-07-08

Discovering Knowledge In Data written by Daniel T. Larose and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Computers categories.

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

A General Introduction To Data Analytics

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Author : João Moreira
language : en
Publisher: John Wiley & Sons
Release Date : 2018-07-18

A General Introduction To Data Analytics written by João Moreira and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-18 with Mathematics categories.

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.

Introduction To Data Mining Ebook Global Edition

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Author : Pang-Ning Tan
language : en
Publisher: Pearson Higher Ed
Release Date : 2019-03-04

Introduction To Data Mining Ebook Global Edition written by Pang-Ning Tan and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-04 with Computers categories.

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 organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

A General Introduction To Data Analytics

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Author : João Moreira
language : en
Publisher: John Wiley & Sons
Release Date : 2018-06-25

Encyclopedia Of Business Analytics And Optimization

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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2014-02-28

Encyclopedia Of Business Analytics And Optimization written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Data Mining With R

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Author : Luis Torgo
language : en
Publisher: CRC Press
Release Date : 2016-11-30

Data Mining With R written by Luis Torgo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Business & Economics categories.

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R. The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document. The book is accompanied by a set of freely available R source files that can be obtained at the book’s web site. These files include all the code used in the case studies, and they facilitate the "do-it-yourself" approach followed in the book. Designed for users of data analysis tools, as well as researchers and developers, the book should be useful for anyone interested in entering the "world" of R and data mining. About the Author Luís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. He teaches Data Mining in R in the NYU Stern School of Business’ MS in Business Analytics program. An active researcher in machine learning and data mining for more than 20 years, Dr. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.

Data Mining For The Social Sciences

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Author : Paul Attewell
language : en
Publisher: Univ of California Press
Release Date : 2015-05

Data Mining For The Social Sciences written by Paul Attewell and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05 with Computers categories.

"The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"--Provided by publisher.

Data Mining And Analytics

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Author : Alex Campbell
language : en
Publisher:
Release Date : 2020-09-28

Data Mining And Analytics written by Alex Campbell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-28 with categories.

Are you curious about data mining and analytics? Have you ever wondered how the world is filled with so much data and what is it used for? Do you wonder how companies use data to improve their revenue and steer themselves toward the path of success? Would you like to know why data is a new currency and companies invest so much to extract, store, and process data? Do you want to know how businesses leverage data to make millions of dollars in revenue? All of this can be achieved through data mining and analytics. If you are curious to know the answers to all these questions, this is the right book for you. This book will break down the terms data and mining for you so you can understand the concepts individually and then as a whole. If you have been looking to launch yourself into the world of data mining and data analytics, this book will serve as the perfect launchpad. The book will introduce you to all the concepts of data mining and analytics in a very tailored manner. It doesn't matter if you are a beginner in the field of data or a veteran; you will have something important to take away from this book. The tools and techniques described will teach you how data mining is used by organizations to steer themselves to success. This book will take you through: An overview of data mining and the need for data mining today Comparisons between data mining and data science The tasks and issues in data mining The terminologies used in data mining The data mining query language Classification, prediction, and cluster analysis in data mining This book has been tailored for you to understand data mining and analytics. There are step-by-step guides with code syntaxes so that you can understand various data mining techniques. If you're looking for the ultimate guide in mining, analytics and metrics, then grab your copy today!

Discovering Knowledge In Data

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Author : Daniel T. Larose
language : en
Publisher:
Release Date : 2005

Discovering Knowledge In Data written by Daniel T. Larose and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Data mining categories.

Introduction To Data Mining And Analytics

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