The Resource Data mining and business intelligence : a guide to productivity, Stephan Kudyba, Richard Hoptroff, (ebook)

Data mining and business intelligence : a guide to productivity, Stephan Kudyba, Richard Hoptroff, (ebook)

Label
Data mining and business intelligence : a guide to productivity
Title
Data mining and business intelligence
Title remainder
a guide to productivity
Statement of responsibility
Stephan Kudyba, Richard Hoptroff
Creator
Contributor
Subject
Genre
Language
eng
Cataloging source
N$T
http://library.link/vocab/creatorDate
1963-
http://library.link/vocab/creatorName
Kudyba, Stephan
Dewey number
658/.0563
Illustrations
illustrations
Index
index present
LC call number
HF5548.2
LC item number
.K766 2001eb
Literary form
non fiction
Nature of contents
  • standards specifications
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Hoptroff, Richard
  • EBSCO Publishing (Firm)
http://library.link/vocab/subjectName
  • Business
  • Business
  • Office information systems
  • Management information systems
  • Electronic commerce
Label
Data mining and business intelligence : a guide to productivity, Stephan Kudyba, Richard Hoptroff, (ebook)
Link
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=60705
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • The Business Intelligence Cycle
  • Using Mining to Extend OLAP
  • Closing Thoughts on Business Intelligence and Productivity
  • Reducing Uncertainty by Minimizing the Variance
  • Data Mining Defined
  • The Roots of Data Mining
  • A Closer Look at the Mining Process: (The Traditional Method)
  • Segmentation and Classification Revisited
  • Neural Network and Regression Mining (The Robust Approach)
  • A Brief History of Neural Networks
  • Laying the Groundwork for Data Mining Technology
  • Back to Regression and Neural Nets
  • How Mining Differs from the Traditional Approach (A Focus on Neural Nets and Regression)
  • Summing up the Definition of Data Mining
  • A Broad Overview of Data Mining Technologies
  • Steps To Success for the Mining Process
  • Mining the Right Data (Garbage In, Garbage Out)
  • How Much Is My Existing Data Worth?
  • Think First, Mine Later (Nine Easy Steps for Success)
  • Pitfalls: Torturing the Data to Get the Answer You Want to Hear
  • Pitfall: The Pursuit of Statistical Perfection
  • An Introduction to Information Technology and Business Intelligence
  • A Driving Source of Productivity (IT, Economic Theory and Business Strategy)
  • An Introduction to Business Intelligence
  • The BI Spectrum: Data Extraction and Report Writing, OLAP, Internets, Extranets and the Internet
  • Business Intelligence Extended (An Introduction to Data Mining)
  • An Introduction to Data Mining Methodologies
  • Visualization Tools for Reporting and Monitoring: The Humble Chart
Dimensions
unknown
Extent
1 online resource (iv, 166 p.)
Form of item
online
Isbn
9780585382968
Isbn Type
(electronic bk.)
Other physical details
ill.
Specific material designation
remote
System control number
  • ocm49414906
  • (OCoLC)49414906
Label
Data mining and business intelligence : a guide to productivity, Stephan Kudyba, Richard Hoptroff, (ebook)
Link
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=60705
Publication
Bibliography note
Includes bibliographical references and index
Color
multicolored
Contents
  • The Business Intelligence Cycle
  • Using Mining to Extend OLAP
  • Closing Thoughts on Business Intelligence and Productivity
  • Reducing Uncertainty by Minimizing the Variance
  • Data Mining Defined
  • The Roots of Data Mining
  • A Closer Look at the Mining Process: (The Traditional Method)
  • Segmentation and Classification Revisited
  • Neural Network and Regression Mining (The Robust Approach)
  • A Brief History of Neural Networks
  • Laying the Groundwork for Data Mining Technology
  • Back to Regression and Neural Nets
  • How Mining Differs from the Traditional Approach (A Focus on Neural Nets and Regression)
  • Summing up the Definition of Data Mining
  • A Broad Overview of Data Mining Technologies
  • Steps To Success for the Mining Process
  • Mining the Right Data (Garbage In, Garbage Out)
  • How Much Is My Existing Data Worth?
  • Think First, Mine Later (Nine Easy Steps for Success)
  • Pitfalls: Torturing the Data to Get the Answer You Want to Hear
  • Pitfall: The Pursuit of Statistical Perfection
  • An Introduction to Information Technology and Business Intelligence
  • A Driving Source of Productivity (IT, Economic Theory and Business Strategy)
  • An Introduction to Business Intelligence
  • The BI Spectrum: Data Extraction and Report Writing, OLAP, Internets, Extranets and the Internet
  • Business Intelligence Extended (An Introduction to Data Mining)
  • An Introduction to Data Mining Methodologies
  • Visualization Tools for Reporting and Monitoring: The Humble Chart
Dimensions
unknown
Extent
1 online resource (iv, 166 p.)
Form of item
online
Isbn
9780585382968
Isbn Type
(electronic bk.)
Other physical details
ill.
Specific material designation
remote
System control number
  • ocm49414906
  • (OCoLC)49414906

Library Locations

  • Beatties Ford Road RegionalBorrow it
    2412 Beatties Ford Road, Charlotte, NC, 28216, US
    35.2676379 -80.8555409
  • Charlotte Mecklenburg LibraryBorrow it
    310 N Tryon St., Charlotte, NC, 28202, US
    35.2285169 -80.839928
  • CorneliusBorrow it
    21105 Catawba Avenue, Cornelius, NC, 28031, US
    35.4833296 -80.8663023
  • DavidsonBorrow it
    119 South Main Street, Davidson, NC, 28036, US
    35.498441 -80.8505028
  • Hickory GroveBorrow it
    5935 Hickory Grove Road, Charolette, NC, 28215, US
    35.2229798 -80.730329
  • ImaginOnBorrow it
    300 East Seventh Street, Charlotte, NC, 28202, US
    35.2269427 -80.8398527
  • Independence RegionalBorrow it
    6000 Conference Drive, Charlotte, NC, 28212, US
    35.1764837 -80.757611
  • Main LibraryBorrow it
    310 North Tryon Street, Charlotte, NC, 28202, US
    35.2285213 -80.8421167
  • MatthewsBorrow it
    230 Matthews Station St., Matthews, NC, 28105, US
    35.1160092 -80.720516
  • Mint HillBorrow it
    6840 Matthews - Mint Hill Road, Mint Hill, NC, 28227, US
    35.1717049 -80.6610649
  • Morrison RegionalBorrow it
    7015 Morrison Boulevard, Charlotte, NC, 28211, US
    35.1517093 -80.8250892
  • Mountain IslandBorrow it
    4420 Hoyt Galvin Way, Charlotte, NC, 28214, US
    35.3350873 -80.9625991
  • Myers ParkBorrow it
    1361 Queens Road, Charlotte, NC, 28207, US
    35.1964537 -80.8295867
  • North County RegionalBorrow it
    16500 Holly Crest Lane, Huntersville, NC, 28078, US
    35.4406879 -80.8661493
  • Plaza MidwoodBorrow it
    1623 Central Avenue, Charlotte, NC, 28205, US
    35.2206234 -80.8132445
  • ScaleybarkBorrow it
    101 Scaleybark Road, Charlotte, NC, 28209, US
    35.1890888 -80.8773791
  • South County RegionalBorrow it
    5801 Rea Road, Charlotte, NC, 28277, US
    35.086541 -80.8137402
  • Steele CreekBorrow it
    13620 Steele Creek Road, Charlotte, NC, 28273, US
    35.1067994 -80.9910789
  • Sugar CreekBorrow it
    NC, US
  • University City RegionalBorrow it
    4045 North Tryon Street, Suite A, Charlotte, NC, 28206, US
    35.2575219 -80.7997242
  • West BoulevardBorrow it
    2157 West Boulevard, Charlotte, NC, 28208, US
    35.2111493 -80.8983269
Processing Feedback ...