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Glenn J. Myatt - Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications - 9780470222805 - V9780470222805
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Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications

€ 116.10
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Description for Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications paperback. This book provides a general end-to-end discussion concerning the process of translating raw data to scientific and business decisions. The reader's ability to find patterns in data will be greatly enhanced due to the book's combination of statistical learning with powerful visualization techniques. Num Pages: 308 pages, Illustrations. BIC Classification: UNF. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 158 x 17. Weight in Grams: 418.
A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques

This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences.

Following a comprehensive introduction that details how to define a problem, perform an analysis, and deploy the results, ... Read more

  • Data Visualization reviews principles and methods for understanding and communicating data through the use of visualization including single variables, the relationship between two or more variables, groupings in data, and dynamic approaches to interacting with data through graphical user interfaces.

  • Clustering outlines common approaches to clustering data sets and provides detailed explanations of methods for determining the distance between observations and procedures for clustering observations. Agglomerative hierarchical clustering, partitioned-based clustering, and fuzzy clustering are also discussed.

  • Predictive Analytics presents a discussion on how to build and assess models, along with a series of predictive analytics that can be used in a variety of situations including principal component analysis, multiple linear regression, discriminate analysis, logistic regression, and Naïve Bayes.

  • Applications demonstrates the current uses of data mining across a wide range of industries and features case studies that illustrate the related applications in real-world scenarios.

Each method is discussed within the context of a data mining process including defining the problem and deploying the results, and readers are provided with guidance on when and how each method should be used. The related Web site for the series (www.makingsenseofdata.com) provides a hands-on data analysis and data mining experience. Readers wishing to gain more practical experience will benefit from the tutorial section of the book in conjunction with the TraceisTM software, which is freely available online.

With its comprehensive collection of advanced data mining methods coupled with tutorials for applications in a range of fields, Making Sense of Data II is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who are interested in learning how to accomplish effective decision making from data and understanding if data analysis and data mining methods could help their organization.

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Product Details

Format
Paperback
Publication date
2009
Publisher
Wiley United States
Number of pages
308
Condition
New
Number of Pages
320
Place of Publication
New York, United States
ISBN
9780470222805
SKU
V9780470222805
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-2

About Glenn J. Myatt
Glenn J. Myatt, PhD, is cofounder of Leadscope, Inc. and a Partner of Myatt & Johnson, Inc., a consulting company that focuses on business intelligence application development delivered through the Internet. Dr. Myatt is the author of Making Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining, also published by Wiley. WAYNE P. JOHNSON, MSc., is ... Read more

Reviews for Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
?Experts, researchers, practitioners, or readers who need a quick reference or who want to get up to speed quickly on data analysis will love having a copy of this work. Summing Up: Highly recommended.? (CHOICE, October 2009)

Goodreads reviews for Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications


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