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The Resource Foundations of predictive analytics, James Wu, Stephen Coggeshall

Foundations of predictive analytics, James Wu, Stephen Coggeshall

Creator
Contributor
Summary
"This text is a summary of techniques of data analysis and modeling that the authors have encountered and used in our two-decades experience of practicing the art of applied data mining across many different fields. The authors have worked in this field together and separately in many large and small companies, including the Los Alamos National Laboratory, Bank One (JPMorgan Chase), Morgan Stanley, and the startups of the Center for Adaptive Systems Applications (CASA), the Los Alamos Computational Group and ID Analytics. We have applied these techniques to traditional and nontraditional problems in a wide range of areas including consumer behavior modeling (credit, fraud, marketing), consumer products, stock forecasting, fund analysis, asset allocation, and equity and xed income options pricing. This monograph provides the necessary information for understanding the common techniques for exploratory data analysis and modeling. It also explains the details of the algorithms behind these techniques, including underlying assumptions and mathematical formulations. It is the authors' opinion that in order to apply di erent techniques to di erent problems appropriately, it is essential to understand the assumptions and theory behind each technique. It is recognized that this work is far from a complete treatise on the subject. Many excellent additional texts exist on the popular subjects and it was not a goal for this present text to be a complete compilation. Rather this text contains various discussions on many practical subjects that are frequently missing from other texts, as well as details on some subjects that are not often or easily found. Thus this text makes an excellent supplemental and referential resource for the practitioners of these subjects"--
Language
eng
Work
Publication
Extent
1 online resource (xix, 317 pages)
Contents
  • 1. Introduction
  • 2. Properties of statistical distributions
  • 3. Important matrix relationships
  • 4. Linear modeling and regression
  • 5. Nonlinear modeling
  • 6. Time series analysis
  • 7. Data preparation and variable selection
  • 8. Model goodness measures
  • 9. Optimization methods
  • 10. Miscellaneous topics
Isbn
9781466538818
Instance
Label
Foundations of predictive analytics
Title
Foundations of predictive analytics
Statement of responsibility
James Wu, Stephen Coggeshall
Creator
Contributor
Subject
Language
eng
Summary
"This text is a summary of techniques of data analysis and modeling that the authors have encountered and used in our two-decades experience of practicing the art of applied data mining across many different fields. The authors have worked in this field together and separately in many large and small companies, including the Los Alamos National Laboratory, Bank One (JPMorgan Chase), Morgan Stanley, and the startups of the Center for Adaptive Systems Applications (CASA), the Los Alamos Computational Group and ID Analytics. We have applied these techniques to traditional and nontraditional problems in a wide range of areas including consumer behavior modeling (credit, fraud, marketing), consumer products, stock forecasting, fund analysis, asset allocation, and equity and xed income options pricing. This monograph provides the necessary information for understanding the common techniques for exploratory data analysis and modeling. It also explains the details of the algorithms behind these techniques, including underlying assumptions and mathematical formulations. It is the authors' opinion that in order to apply di erent techniques to di erent problems appropriately, it is essential to understand the assumptions and theory behind each technique. It is recognized that this work is far from a complete treatise on the subject. Many excellent additional texts exist on the popular subjects and it was not a goal for this present text to be a complete compilation. Rather this text contains various discussions on many practical subjects that are frequently missing from other texts, as well as details on some subjects that are not often or easily found. Thus this text makes an excellent supplemental and referential resource for the practitioners of these subjects"--
Member of
Assigning source
Provided by publisher
Cataloging source
N$T
http://library.link/vocab/creatorDate
1965-
http://library.link/vocab/creatorName
Wu, James
Dewey number
006.3/12
Illustrations
illustrations
Index
index present
LC call number
QA76.9.D343
LC item number
W83 2012eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
NLM call number
QA 76.9.D343
http://library.link/vocab/relatedWorkOrContributorName
Coggeshall, Stephen
Series statement
Chapman & Hall/CRC data mining and knowledge discovery series
http://library.link/vocab/subjectName
  • Data mining
  • Predictive control
  • Automatic control
  • Data Mining
  • Forecasting
  • Models, Theoretical
  • Electronic Data Processing
  • BUSINESS & ECONOMICS
  • COMPUTERS
  • COMPUTERS
  • Automatic control
  • Data mining
  • Predictive control
Label
Foundations of predictive analytics, James Wu, Stephen Coggeshall
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 2. Properties of statistical distributions -- 3. Important matrix relationships -- 4. Linear modeling and regression -- 5. Nonlinear modeling -- 6. Time series analysis -- 7. Data preparation and variable selection -- 8. Model goodness measures -- 9. Optimization methods -- 10. Miscellaneous topics
Control code
778497234
Dimensions
unknown
Extent
1 online resource (xix, 317 pages)
File format
unknown
Form of item
online
Isbn
9781466538818
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
9786613909275
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000318
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)778497234
Label
Foundations of predictive analytics, James Wu, Stephen Coggeshall
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 2. Properties of statistical distributions -- 3. Important matrix relationships -- 4. Linear modeling and regression -- 5. Nonlinear modeling -- 6. Time series analysis -- 7. Data preparation and variable selection -- 8. Model goodness measures -- 9. Optimization methods -- 10. Miscellaneous topics
Control code
778497234
Dimensions
unknown
Extent
1 online resource (xix, 317 pages)
File format
unknown
Form of item
online
Isbn
9781466538818
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
9786613909275
Other physical details
illustrations
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000318
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)778497234

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