{"product_id":"making-sense-of-data-ii-paperback","title":"Making Sense of Data II - Paperback","description":"\u003cp\u003eby \u003cb\u003eGlenn J. Myatt\u003c\/b\u003e (Author), \u003cb\u003eWayne P. Johnson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eA hands-on guide to making valuable decisions from data using advanced data mining methods and techniques \u003c\/p\u003e\u003cp\u003eThis second installment in the \u003ci\u003eMaking Sense of Data\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eFollowing a comprehensive introduction that details how to define a problem, perform an analysis, and deploy the results, \u003ci\u003eMaking Sense of Data II\u003c\/i\u003e addresses the following key techniques for advanced data analysis: \u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003e\u003cb\u003eData Visualization\u003c\/b\u003e 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.\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003e\u003cb\u003eClustering\u003c\/b\u003e 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.\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003e\u003cb\u003ePredictive Analytics\u003c\/b\u003e 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.\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003e\u003cb\u003eApplications\u003c\/b\u003e 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.\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEach 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 Traceis\u003csup\u003eTM\u003c\/sup\u003e software, which is freely available online.\u003c\/p\u003e \u003cp\u003eWith its comprehensive collection of advanced data mining methods coupled with tutorials for applications in a range of fields, \u003ci\u003eMaking Sense of Data II\u003c\/i\u003e 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eGlenn J. Myatt, PhD, \u003c\/b\u003e is cofounder of Leadscope, Inc. and a Partner of Myatt \u0026amp; Johnson, Inc., a consulting company that focuses on business intelligence application development delivered through the Internet. Dr. Myatt is the author of \u003ci\u003eMaking Sense of Data: A Practical Guide to Exploratory Data Analysis and Data Mining\u003c\/i\u003e, also published by Wiley. \u003cb\u003eWAYNE P. JOHNSON, MSc., \u003c\/b\u003e is cofounder of Leadscope, Inc. and a Partner of Myatt \u0026amp; Johnson, Inc. Mr. Johnson has over two decades of experience in the design and development of large software systems, and his current professional interests include human-computer interaction, information visualization, and methodologies for contextual inquiry.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 320\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.1 x 6.1 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 03, 2009\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51756062408992,"sku":"9780470222805","price":166.97,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/c5681ccf05fc58c303966bac1f9c9bef.webp?v=1780073342","url":"https:\/\/ebocreations.com\/products\/making-sense-of-data-ii-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}