The Resource Guide to intelligent data analysis : how to intelligently make sense of real data, Michael R. Berthold [and others], (electronic resource)

Guide to intelligent data analysis : how to intelligently make sense of real data, Michael R. Berthold [and others], (electronic resource)

Label
Guide to intelligent data analysis : how to intelligently make sense of real data
Title
Guide to intelligent data analysis
Title remainder
how to intelligently make sense of real data
Statement of responsibility
Michael R. Berthold [and others]
Contributor
Provider
Subject
Language
eng
Summary
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle - solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of "drowning in information, but starving for knowledge" the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: Guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring Equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion Provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms Includes numerous examples using R and KNIME, together with appendices introducing the open source software Integrates illustrations and case-study-style examples to support pedagogical exposition Supplies further tools and information at the associated website: http://www.idaguide.net/ This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one's exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany
Member of
Cataloging source
GW5XE
Image bit depth
0
LC call number
QA276
LC item number
.G85 2010
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • SpringerLink
  • Berthold, M.
Series statement
Texts in Computer Science,
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Mathematical statistics
  • Artificial intelligence
  • Artificial intelligence
  • Mathematical statistics
  • Mathematical statistics
  • Informatique
Label
Guide to intelligent data analysis : how to intelligently make sense of real data, Michael R. Berthold [and others], (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references (page 383) and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Practical Data Analysis: An Example -- Project Understanding -- Data Understanding -- Principles of Modeling -- Data Preparation -- Finding Patterns -- Finding Explanations -- Finding Predictors -- Evaluation and Deployment
Dimensions
unknown
Extent
1 online resource (xiii, 394 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9781848822603
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (some color).
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
Stock number
978-1-84882-259-7
System control number
  • (OCoLC)663096799
  • (OCoLC)ocn663096799
Label
Guide to intelligent data analysis : how to intelligently make sense of real data, Michael R. Berthold [and others], (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references (page 383) and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Practical Data Analysis: An Example -- Project Understanding -- Data Understanding -- Principles of Modeling -- Data Preparation -- Finding Patterns -- Finding Explanations -- Finding Predictors -- Evaluation and Deployment
Dimensions
unknown
Extent
1 online resource (xiii, 394 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9781848822603
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (some color).
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
Stock number
978-1-84882-259-7
System control number
  • (OCoLC)663096799
  • (OCoLC)ocn663096799

Library Locations

  • African Studies LibraryBorrow it
    771 Commonwealth Avenue, 6th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Alumni Medical LibraryBorrow it
    72 East Concord Street, Boston, MA, 02118, US
    42.336388 -71.072393
  • Astronomy LibraryBorrow it
    725 Commonwealth Avenue, 6th Floor, Boston, MA, 02445, US
    42.350259 -71.105717
  • Fineman and Pappas Law LibrariesBorrow it
    765 Commonwealth Avenue, Boston, MA, 02215, US
    42.350979 -71.107023
  • Frederick S. Pardee Management LibraryBorrow it
    595 Commonwealth Avenue, Boston, MA, 02215, US
    42.349626 -71.099547
  • Howard Gotlieb Archival Research CenterBorrow it
    771 Commonwealth Avenue, 5th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Mugar Memorial LibraryBorrow it
    771 Commonwealth Avenue, Boston, MA, 02215, US
    42.350723 -71.108227
  • Music LibraryBorrow it
    771 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Pikering Educational Resources LibraryBorrow it
    2 Silber Way, Boston, MA, 02215, US
    42.349804 -71.101425
  • School of Theology LibraryBorrow it
    745 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350494 -71.107235
  • Science & Engineering LibraryBorrow it
    38 Cummington Mall, Boston, MA, 02215, US
    42.348472 -71.102257
  • Stone Science LibraryBorrow it
    675 Commonwealth Avenue, Boston, MA, 02445, US
    42.350103 -71.103784
Processing Feedback ...