Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV
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Published By Springer International Publishing

9783319463483, 9783319463490

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_14 ◽

2016 ◽

pp. 158-170 ◽

Cited By ~ 5

Author(s):

Martijn J. Post ◽

Peter van der Putten ◽

Jan N. van Rijn

Keyword(s):

Feature Selection ◽

Large Scale ◽

Scale Experiment

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Spotting the Diffusion of New Psychoactive Substances over the Internet

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_8 ◽

2016 ◽

pp. 86-97 ◽

Cited By ~ 3

Author(s):

Fabio Del Vigna ◽

Marco Avvenuti ◽

Clara Bacciu ◽

Paolo Deluca ◽

Marinella Petrocchi ◽

...

Keyword(s):

New Psychoactive Substances ◽

The Internet ◽

Psychoactive Substances

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A Hybrid Approach for Probabilistic Relational Models Structure Learning

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_4 ◽

2016 ◽

pp. 38-49

Author(s):

Mouna Ben Ishak ◽

Philippe Leray ◽

Nahla Ben Amor

Keyword(s):

Structure Learning ◽

Hybrid Approach ◽

Relational Models ◽

Probabilistic Relational Models

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Visual Perception of Discriminative Landmarks in Classified Time Series

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_7 ◽

2016 ◽

pp. 73-85 ◽

Cited By ~ 1

Author(s):

Tobias Sobek ◽

Frank Höppner

Keyword(s):

Time Series ◽

Visual Perception

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Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_29 ◽

2016 ◽

pp. 332-342

Author(s):

Eduardo Haruo Kamioka ◽

André Freitas ◽

Frederico Caroli ◽

Siegfried Handschuh

Keyword(s):

Graphical Interpretation ◽

Semantic Types

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Vote Buying Detection via Independent Component Analysis

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_20 ◽

2016 ◽

pp. 226-236

Author(s):

Antonio Neme ◽

Omar Neme

Keyword(s):

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Vote Buying

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Explainable and Efficient Link Prediction in Real-World Network Data

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_26 ◽

2016 ◽

pp. 295-307 ◽

Cited By ~ 1

Author(s):

Jesper E. van Engelen ◽

Hanjo D. Boekhout ◽

Frank W. Takes

Keyword(s):

Real World ◽

Link Prediction ◽

Network Data

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Bi-stochastic Matrix Approximation Framework for Data Co-clustering

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_24 ◽

2016 ◽

pp. 273-283

Author(s):

Lazhar Labiod ◽

Mohamed Nadif

Keyword(s):

Stochastic Matrix ◽

Matrix Approximation

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Widened Learning of Bayesian Network Classifiers

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_19 ◽

2016 ◽

pp. 215-225 ◽

Cited By ~ 3

Author(s):

Oliver R. Sampson ◽

Michael R. Berthold

Keyword(s):

Bayesian Network ◽

Bayesian Network Classifiers

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The Optimistic Method for Model Estimation

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV ◽

10.1007/978-3-319-46349-0_13 ◽

2016 ◽

pp. 146-157

Author(s):

James Brofos ◽

Rui Shu ◽

Frank Zhang

Keyword(s):

Model Estimation

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Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XVLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML

Spotting the Diffusion of New Psychoactive Substances over the Internet

A Hybrid Approach for Probabilistic Relational Models Structure Learning

Visual Perception of Discriminative Landmarks in Classified Time Series

Determining Data Relevance Using Semantic Types and Graphical Interpretation Cues

Vote Buying Detection via Independent Component Analysis

Explainable and Efficient Link Prediction in Real-World Network Data

Bi-stochastic Matrix Approximation Framework for Data Co-clustering

Widened Learning of Bayesian Network Classifiers

The Optimistic Method for Model Estimation

Lecture Notes in Computer Science - Advances in Intelligent Data Analysis XV
Latest Publications