Share

Discovering Knowledge in Data

2005-01-28 Computers
Download Discovering Knowledge in Data PDF Online Free

Author :
Release : 2005-01-28
Genre : Computers
Kind : eBook
Book Rating : 537/5 ( reviews)

GET EBOOK


Book Synopsis Discovering Knowledge in Data by : Daniel T. Larose

Download or read book Discovering Knowledge in Data written by Daniel T. Larose. This book was released on 2005-01-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Discovering Knowledge in Data

2014-06-02 Computers
Download Discovering Knowledge in Data PDF Online Free

Author :
Release : 2014-06-02
Genre : Computers
Kind : eBook
Book Rating : 572/5 ( reviews)

GET EBOOK


Book Synopsis Discovering Knowledge in Data by : Daniel T. Larose

Download or read book Discovering Knowledge in Data written by Daniel T. Larose. This book was released on 2014-06-02. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mining the Web

2002-10-09 Computers
Download Mining the Web PDF Online Free

Author :
Release : 2002-10-09
Genre : Computers
Kind : eBook
Book Rating : 544/5 ( reviews)

GET EBOOK


Book Synopsis Mining the Web by : Soumen Chakrabarti

Download or read book Mining the Web written by Soumen Chakrabarti. This book was released on 2002-10-09. Available in PDF, EPUB and Kindle. Book excerpt: The definitive book on mining the Web from the preeminent authority.

Feature Selection for Knowledge Discovery and Data Mining

2012-12-06 Computers
Download Feature Selection for Knowledge Discovery and Data Mining PDF Online Free

Author :
Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 899/5 ( reviews)

GET EBOOK


Book Synopsis Feature Selection for Knowledge Discovery and Data Mining by : Huan Liu

Download or read book Feature Selection for Knowledge Discovery and Data Mining written by Huan Liu. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: As computer power grows and data collection technologies advance, a plethora of data is generated in almost every field where computers are used. The com puter generated data should be analyzed by computers; without the aid of computing technologies, it is certain that huge amounts of data collected will not ever be examined, let alone be used to our advantages. Even with today's advanced computer technologies (e. g. , machine learning and data mining sys tems), discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Taking its simplest form, raw data are represented in feature-values. The size of a dataset can be measUJ·ed in two dimensions, number of features (N) and number of instances (P). Both Nand P can be enormously large. This enormity may cause serious problems to many data mining systems. Feature selection is one of the long existing methods that deal with these problems. Its objective is to select a minimal subset of features according to some reasonable criteria so that the original task can be achieved equally well, if not better. By choosing a minimal subset offeatures, irrelevant and redundant features are removed according to the criterion. When N is reduced, the data space shrinks and in a sense, the data set is now a better representative of the whole data population. If necessary, the reduction of N can also give rise to the reduction of P by eliminating duplicates.

Knowledge Discovery and Data Mining: Challenges and Realities

2007-04-30 Computers
Download Knowledge Discovery and Data Mining: Challenges and Realities PDF Online Free

Author :
Release : 2007-04-30
Genre : Computers
Kind : eBook
Book Rating : 541/5 ( reviews)

GET EBOOK


Book Synopsis Knowledge Discovery and Data Mining: Challenges and Realities by : Zhu, Xingquan

Download or read book Knowledge Discovery and Data Mining: Challenges and Realities written by Zhu, Xingquan. This book was released on 2007-04-30. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality data. Contributions also focus on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing"--Provided by publisher.

You may also like...