Introduction to Data Mining and Analytics
Title | Introduction to Data Mining and Analytics PDF eBook |
Author | Kris Jamsa |
Publisher | Jones & Bartlett Learning |
Total Pages | 687 |
Release | 2020-02-03 |
Genre | Computers |
ISBN | 1284210480 |
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
Title | Data Mining and Analysis PDF eBook |
Author | Mohammed J. Zaki |
Publisher | Cambridge University Press |
Total Pages | 607 |
Release | 2014-05-12 |
Genre | Computers |
ISBN | 0521766338 |
A comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.
A General Introduction to Data Analytics
Title | A General Introduction to Data Analytics PDF eBook |
Author | João Moreira |
Publisher | John Wiley & Sons |
Total Pages | 352 |
Release | 2018-07-02 |
Genre | Mathematics |
ISBN | 1119296250 |
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
Title | Introduction to Data Mining PDF eBook |
Author | Pang-Ning Tan |
Publisher | Pearson Education India |
Total Pages | 780 |
Release | 2016 |
Genre | |
ISBN | 9332586055 |
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
Data Mining and Machine Learning
Title | Data Mining and Machine Learning PDF eBook |
Author | Mohammed J. Zaki |
Publisher | Cambridge University Press |
Total Pages | 779 |
Release | 2020-01-30 |
Genre | Business & Economics |
ISBN | 1108473989 |
New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.
Introduction to Data Mining and Analytics
Title | Introduction to Data Mining and Analytics PDF eBook |
Author | Kris Jamsa |
Publisher | Jones & Bartlett Learning |
Total Pages | 687 |
Release | 2020-02-03 |
Genre | Computers |
ISBN | 1284180905 |
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 Analysis and Data Mining
Title | Data Analysis and Data Mining PDF eBook |
Author | Adelchi Azzalini |
Publisher | Oxford University Press |
Total Pages | 289 |
Release | 2012-04-23 |
Genre | Business & Economics |
ISBN | 0199942714 |
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have a limited knowledge of data mining. This book presents key statistical concepts by way of case studies, giving readers the benefit of learning from real problems and real data. Aided by a diverse range of statistical methods and techniques, readers will move from simple problems to complex problems. Through these case studies, authors Adelchi Azzalini and Bruno Scarpa explain exactly how statistical methods work; rather than relying on the "push the button" philosophy, they demonstrate how to use statistical tools to find the best solution to any given problem. Case studies feature current topics highly relevant to data mining, such web page traffic; the segmentation of customers; selection of customers for direct mail commercial campaigns; fraud detection; and measurements of customer satisfaction. Appropriate for both advanced undergraduate and graduate students, this much-needed book will fill a gap between higher level books, which emphasize technical explanations, and lower level books, which assume no prior knowledge and do not explain the methodology behind the statistical operations.