Making sense of data I : (Record no. 61703)

000 -LEADER
fixed length control field 06735cam a2200457 i 4500
001 - CONTROL NUMBER
control field 18083385
003 - CONTROL NUMBER IDENTIFIER
control field CITU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231013163806.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m |o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140327s2014 nju ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2014012428
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118422014 (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118422106 (epub)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng.
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Myatt, Glenn J.,
Dates associated with a name 1969-
Relator term author.
240 10 - UNIFORM TITLE
Uniform title Making sense of data
245 10 - TITLE STATEMENT
Title Making sense of data I :
Remainder of title a practical guide to exploratory data analysis and data mining /
Statement of responsibility, etc Glenn J. Myatt, Wayne P. Johnson.
250 ## - EDITION STATEMENT
Edition statement Second edition.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc [2014]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (248 pages).
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term computer
Media type code c
338 ## - CARRIER TYPE
Source rdacarrier
Carrier type term online resource
Carrier type code cr
500 ## - GENERAL NOTE
General note ABOUT THE AUTHOR<br/>Glenn J. Myatt, PhD, is Chief Scientific Officer and Cofounder of Leadscope, Inc. The author of numerous journal articles, Dr. Myatt, is also the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications and Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations, both of which are published by Wiley.<br/><br/>Wayne P. Johnson, MSc, is Cofounder of Leadscope, Inc., as well as a partner of Myatt & Johnson, Inc. He has over 35 years of experience in software engineering related to operating systems, telecommunications, and artificial intelligence at various companies including IBM, AT&T Bell Laboratories, and Ford Motor Company. He has led research projects related to informatics, and in addition to authoring numerous journal articles, Mr. Johnson is the coauthor of Making Sense of Data II: A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications and Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations, both of which are published by Wiley.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - CONTENTS
Formatted contents note PREFACE ix<br/><br/>1 INTRODUCTION 1<br/><br/>1.1 Overview 1<br/><br/>1.2 Sources of Data 2<br/><br/>1.3 Process for Making Sense of Data 3<br/><br/>1.4 Overview of Book 13<br/><br/>1.5 Summary 16<br/><br/>Further Reading 16<br/><br/>2 DESCRIBING DATA 17<br/><br/>2.1 Overview 17<br/><br/>2.2 Observations and Variables 18<br/><br/>2.3 Types of Variables 20<br/><br/>2.4 Central Tendency 22<br/><br/>2.5 Distribution of the Data 24<br/><br/>2.6 Confidence Intervals 36<br/><br/>2.7 Hypothesis Tests 40<br/><br/>Exercises 42<br/><br/>Further Reading 45<br/><br/>3 PREPARING DATA TABLES 47<br/><br/>3.1 Overview 47<br/><br/>3.2 Cleaning the Data 48<br/><br/>3.3 Removing Observations and Variables 49<br/><br/>3.4 Generating Consistent Scales Across Variables 49<br/><br/>3.5 New Frequency Distribution 51<br/><br/>3.6 Converting Text to Numbers 52<br/><br/>3.7 Converting Continuous Data to Categories 53<br/><br/>3.8 Combining Variables 54<br/><br/>3.9 Generating Groups 54<br/><br/>3.10 Preparing Unstructured Data 55<br/><br/>Exercises 57<br/><br/>Further Reading 57<br/><br/>4 UNDERSTANDING RELATIONSHIPS 59<br/><br/>4.1 Overview 59<br/><br/>4.2 Visualizing Relationships Between Variables 60<br/><br/>4.3 Calculating Metrics About Relationships 69<br/><br/>Exercises 81<br/><br/>Further Reading 82<br/><br/>5 IDENTIFYING AND UNDERSTANDING GROUPS 83<br/><br/>5.1 Overview 83<br/><br/>5.2 Clustering 88<br/><br/>5.3 Association Rules 111<br/><br/>5.4 Learning Decision Trees from Data 122<br/><br/>Exercises 137<br/><br/>Further Reading 140<br/><br/>6 BUILDING MODELS FROM DATA 141<br/><br/>6.1 Overview 141<br/><br/>6.2 Linear Regression 149<br/><br/>6.3 Logistic Regression 161<br/><br/>6.4 k-Nearest Neighbors 167<br/><br/>6.5 Classification and Regression Trees 172<br/><br/>6.6 Other Approaches 178<br/><br/>Exercises 179<br/><br/>Further Reading 182<br/><br/>APPENDIX A ANSWERS TO EXERCISES 185<br/><br/>APPENDIX B HANDS-ON TUTORIALS 191<br/><br/>B.1 Tutorial Overview 191<br/><br/>B.2 Access and Installation 191<br/><br/>B.3 Software Overview 192<br/><br/>B.4 Reading in Data 193<br/><br/>B.5 Preparation Tools 195<br/><br/>B.6 Tables and Graph Tools 199<br/><br/>B.7 Statistics Tools 202<br/><br/>B.8 Grouping Tools 204<br/><br/>B.9 Models Tools 207<br/><br/>B.10 Apply Model 211<br/><br/>B.11 Exercises 211<br/><br/>BIBLIOGRAPHY 227<br/><br/>INDEX 231
520 ## - SUMMARY, ETC.
Summary, etc Praise for the First Edition<br/><br/> “...a well-written book on data analysis and data mining that provides an excellent foundation...”<br/><br/>—CHOICE<br/><br/>“This is a must-read book for learning practical statistics and data analysis...”<br/><br/>—Computing Reviews.com<br/><br/> <br/><br/>A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study.<br/><br/>In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features:<br/><br/>Updated exercises for both manual and computer-aided implementation with accompanying worked examples<br/>New appendices with coverage on the freely available Traceis™ software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance<br/>New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches<br/>Additional real-world examples of data preparation to establish a practical background for making decisions from data<br/><br/>Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.
526 ## - STUDY PROGRAM INFORMATION NOTE
-- 000-099
-- 006
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print version record and CIP data provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Johnson, Wayne P.
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text Full text is available at Wiley Online Library Click here to view
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781118422007
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Source of acquisition Inventory number Full call number Barcode Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY LIC Gateway 2021-04-13 Megatexts Phil. Inc. 50314 006.312 M9909 2014 CL-50314 2021-04-13 2021-04-13 EBOOK