Making sense of data I: A practical guide to exploratory data analysis and data mining (Record no. 1746)

MARC details
000 -LEADER
fixed length control field 02657nam a2200241 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250801182316.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250801b2014|||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118422014
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Myatt, Glenn J.
Relator term Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Johnson, Wayne P.
Relator term Co-Author
245 ## - TITLE STATEMENT
Title Making sense of data I: A practical guide to exploratory data analysis and data mining
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New Jersey:
Name of publisher Wiley Data and Cybersecurity,
Year of publication 2014.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xi, 235p.
500 ## - GENERAL NOTE
General note 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Understanding Relationships
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Identifying and Understanding Groups
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Building Models from Data
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/servlet/opac?bknumber=10066956
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Books
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Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Coded location qualifier Full call number Accession Number Koha item type
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