The Resource Challenges in computational statistics and data mining, Stan Matwin, Jan Mielniczuk, editors

Challenges in computational statistics and data mining, Stan Matwin, Jan Mielniczuk, editors

Label
Challenges in computational statistics and data mining
Title
Challenges in computational statistics and data mining
Statement of responsibility
Stan Matwin, Jan Mielniczuk, editors
Contributor
Editor
Subject
Genre
Language
eng
Summary
This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors? contributions to honour and celebrate Professor Jacek Koronacki on the occasion of his 70th birthday. The book?s related and often interconnected topics, represent Jacek Koronacki?s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are
Member of
Cataloging source
GW5XE
Dewey number
519.5
Illustrations
illustrations
Index
no index present
LC call number
QA276
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Matwin, Stan
  • Mielniczuk, Jan
Series statement
Studies in computational intelligence,
Series volume
volume 605
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Data mining
  • Data mining
  • Mathematical statistics
  • Computer Science
  • Engineering & Applied Sciences
  • Engineering
  • Computational Intelligence
  • Data Mining and Knowledge Discovery
  • Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  • Artificial Intelligence (incl. Robotics)
  • Computers
  • Mathematics
  • Computers
  • Data mining
  • Probability & statistics
  • Artificial intelligence
Label
Challenges in computational statistics and data mining, Stan Matwin, Jan Mielniczuk, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-18781-5
Instantiates
Publication
Copyright
Antecedent source
unknown
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
Evolutionary Computation for Real-world Problems -- Selection of Significant Features Using Monte Carlo Feature Selection -- ADX Algorithm for Supervised Classification -- Estimation of Entropy from Subword Complexity -- Exact Rates of Convergence of Kernel-based Classification Rule -- Compound Bipolar Queries: a Step Towards an Enhanced Human Consistency and Human Friendliness -- Process Inspection by Attributes Using Predicted Data -- Székely Regularization for Uplift Modeling -- Dominance-Based Rough Set Approach to Multiple Criterion Ranking with Sorting-specific Preference Information -- On things not Seen -- Network Capacity Bound for Personalized Bipartite Page Rank -- Dependence Factor as a Rule Evaluation Measure -- Recent Results on Quantlie Estimation Methods in Simulation Model -- Adaptive Monte Carlo Maximum Likelihood -- What Do we Choose when we Err? Model Selection and Testing for Misspecified Logistic Regression Revisited -- Semiparametric Inference Identification of Block-oriented Systems -- Dealing with Data Difficulty Factors While Learning from Imbalanced Data -- Privacy Protection in a Time of Big Data -- Data Based Modeling
Dimensions
unknown
Extent
1 online resource (x, 399 pages)
File format
unknown
Form of item
online
Isbn
9783319187808
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-18781-5
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)913869402
  • (OCoLC)ocn913869402
Label
Challenges in computational statistics and data mining, Stan Matwin, Jan Mielniczuk, editors
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-18781-5
Publication
Copyright
Antecedent source
unknown
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
Evolutionary Computation for Real-world Problems -- Selection of Significant Features Using Monte Carlo Feature Selection -- ADX Algorithm for Supervised Classification -- Estimation of Entropy from Subword Complexity -- Exact Rates of Convergence of Kernel-based Classification Rule -- Compound Bipolar Queries: a Step Towards an Enhanced Human Consistency and Human Friendliness -- Process Inspection by Attributes Using Predicted Data -- Székely Regularization for Uplift Modeling -- Dominance-Based Rough Set Approach to Multiple Criterion Ranking with Sorting-specific Preference Information -- On things not Seen -- Network Capacity Bound for Personalized Bipartite Page Rank -- Dependence Factor as a Rule Evaluation Measure -- Recent Results on Quantlie Estimation Methods in Simulation Model -- Adaptive Monte Carlo Maximum Likelihood -- What Do we Choose when we Err? Model Selection and Testing for Misspecified Logistic Regression Revisited -- Semiparametric Inference Identification of Block-oriented Systems -- Dealing with Data Difficulty Factors While Learning from Imbalanced Data -- Privacy Protection in a Time of Big Data -- Data Based Modeling
Dimensions
unknown
Extent
1 online resource (x, 399 pages)
File format
unknown
Form of item
online
Isbn
9783319187808
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-18781-5
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)913869402
  • (OCoLC)ocn913869402

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