Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining
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Published By Springer International Publishing

9783319187808, 9783319187815

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Evolutionary Computation for Real-World Problems

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_1 ◽

2015 ◽

pp. 1-24 ◽

Cited By ~ 3

Author(s):

Mohammad Reza Bonyadi ◽

Zbigniew Michalewicz

Keyword(s):

Evolutionary Computation ◽

Real World ◽

Real World Problems

Personal Privacy Protection in Time of Big Data

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_18 ◽

2015 ◽

pp. 365-380 ◽

Cited By ~ 5

Author(s):

Marina Sokolova ◽

Stan Matwin

Keyword(s):

Big Data ◽

Privacy Protection ◽

Personal Privacy

Data Based Modeling

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_19 ◽

2015 ◽

pp. 381-399

Author(s):

James R. Thompson

ADX Algorithm for Supervised Classification

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_3 ◽

2015 ◽

pp. 39-52

Author(s):

Michał Dramiński

Keyword(s):

Supervised Classification

What Do We Choose When We Err? Model Selection and Testing for Misspecified Logistic Regression Revisited

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_15 ◽

2015 ◽

pp. 271-296 ◽

Cited By ~ 1

Author(s):

Jan Mielniczuk ◽

Paweł Teisseyre

Keyword(s):

Logistic Regression ◽

Model Selection

Székely Regularization for Uplift Modeling

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_8 ◽

2015 ◽

pp. 135-154 ◽

Cited By ~ 2

Author(s):

Szymon Jaroszewicz ◽

Łukasz Zaniewicz

Keyword(s):

Uplift Modeling

Compound Bipolar Queries: A Step Towards an Enhanced Human Consistency and Human Friendliness

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_6 ◽

2015 ◽

pp. 93-111 ◽

Cited By ~ 2

Author(s):

Janusz Kacprzyk ◽

Sławomir Zadrożny

Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_9 ◽

2015 ◽

pp. 155-171

Author(s):

Miłosz Kadziński ◽

Roman Słowiński ◽

Marcin Szeląg

Keyword(s):

Rough Set ◽

Multiple Criteria ◽

Preference Information ◽

Specific Preference ◽

Criteria Ranking

Exact Rate of Convergence of Kernel-Based Classification Rule

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_5 ◽

2015 ◽

pp. 71-91 ◽

Cited By ~ 1

Author(s):

Maik Döring ◽

László Györfi ◽

Harro Walk

Keyword(s):

Rate Of Convergence ◽

Classification Rule ◽

Exact Rate Of Convergence

On Things Not Seen

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining ◽

10.1007/978-3-319-18781-5_10 ◽

2015 ◽

pp. 173-188

Author(s):

Marek Kimmel

Studies in Computational Intelligence - Challenges in Computational Statistics and Data MiningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Evolutionary Computation for Real-World Problems

Personal Privacy Protection in Time of Big Data

Data Based Modeling

ADX Algorithm for Supervised Classification

What Do We Choose When We Err? Model Selection and Testing for Misspecified Logistic Regression Revisited

Székely Regularization for Uplift Modeling

Compound Bipolar Queries: A Step Towards an Enhanced Human Consistency and Human Friendliness

Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information

Exact Rate of Convergence of Kernel-Based Classification Rule

On Things Not Seen

Studies in Computational Intelligence - Challenges in Computational Statistics and Data Mining
Latest Publications