New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319393148, 9783319393155

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The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_7 ◽

2016 ◽

pp. 93-107 ◽

Cited By ~ 2

Author(s):

Mateusz Lango ◽

Jerzy Stefanowski

Keyword(s):

Imbalanced Data ◽

High Dimensional

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Discovering and Tracking Organizational Structures in Event Logs

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_4 ◽

2016 ◽

pp. 46-60 ◽

Cited By ~ 3

Author(s):

Annalisa Appice ◽

Marco Di Pietro ◽

Claudio Greco ◽

Donato Malerba

Keyword(s):

Organizational Structures ◽

Event Logs

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Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_13 ◽

2016 ◽

pp. 194-208

Author(s):

Jan Kralj ◽

Marko Robnik-Šikonja ◽

Nada Lavrač

Keyword(s):

Text Mining ◽

Heterogeneous Network ◽

Network Decomposition

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Semi-supervised Multivariate Sequential Pattern Mining

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_14 ◽

2016 ◽

pp. 211-223 ◽

Cited By ~ 1

Author(s):

Zhao Xu ◽

Koichi Funaya ◽

Haifeng Chen ◽

Sergio Leoni

Keyword(s):

Pattern Mining ◽

Sequential Pattern Mining ◽

Sequential Pattern

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Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_6 ◽

2016 ◽

pp. 76-90 ◽

Cited By ~ 2

Author(s):

Corrado Loglisci ◽

Donato Malerba

Keyword(s):

Pattern Discovery ◽

Complex Dynamic ◽

Dynamic Data ◽

Periodic Changes

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Adaptive Ensembles for Evolving Data Streams – Combining Block-Based and Online Solutions

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_1 ◽

2016 ◽

pp. 3-16

Author(s):

Jerzy Stefanowski

Keyword(s):

Data Streams ◽

Evolving Data ◽

Block Based

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Classifying Traces of Event Logs on the Basis of Security Risks

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_8 ◽

2016 ◽

pp. 108-124 ◽

Cited By ~ 2

Author(s):

Bettina Fazzinga ◽

Sergio Flesca ◽

Filippo Furfaro ◽

Luigi Pontieri

Keyword(s):

Security Risks ◽

Event Logs

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Comparison of Tree-Based Methods for Multi-target Regression on Data Streams

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_2 ◽

2016 ◽

pp. 17-31 ◽

Cited By ~ 3

Author(s):

Aljaž Osojnik ◽

Panče Panov ◽

Sašo Džeroski

Keyword(s):

Data Streams

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Generalizing Patterns for Cross-Domain Analogy

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_10 ◽

2016 ◽

pp. 147-162

Author(s):

Fabio Leuzzi ◽

Stefano Ferilli

Keyword(s):

Cross Domain

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Probabilistic Frequent Subtree Kernels

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39315-5_12 ◽

2016 ◽

pp. 179-193 ◽

Cited By ~ 2

Author(s):

Pascal Welke ◽

Tamás Horváth ◽

Stefan Wrobel

Keyword(s):

Frequent Subtree

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New Frontiers in Mining Complex Patterns - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data

Discovering and Tracking Organizational Structures in Event Logs

Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics

Semi-supervised Multivariate Sequential Pattern Mining

Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery

Adaptive Ensembles for Evolving Data Streams – Combining Block-Based and Online Solutions

Classifying Traces of Event Logs on the Basis of Security Risks

Comparison of Tree-Based Methods for Multi-target Regression on Data Streams

Generalizing Patterns for Cross-Domain Analogy

Probabilistic Frequent Subtree Kernels

New Frontiers in Mining Complex Patterns - Lecture Notes in Computer Science
Latest Publications