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Data Mining and Knowledge Discovery

Inhalt (10 Artikel)

Editorial

Johannes Fürnkranz

Clustering categorical data in projected spaces

Mohamed Bouguessa

Ensemble anomaly detection from multi-resolution trajectory features

Shin Ando, Theerasak Thanomphongphan, Yoichi Seki, Einoshin Suzuki

Summarizing numeric spatial data streams by trend cluster discovery

Annalisa Appice, Anna Ciampi, Donato Malerba

Sequential network change detection with its applications to ad impact relation analysis

Yu Hayashi, Kenji Yamanishi

Very fast decision rules for classification in data streams

Petr Kosina, João Gama

Link prediction in heterogeneous data via generalized coupled tensor factorization

Beyza Ermiş, Evrim Acar, A. Taylan Cemgil

To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms

Bart Minnaert, David Martens, Manu De Backer, Bart Baesens

Visualizing multi-dimensional decision boundaries in 2D

M. A. Migut, M. Worring, C. J. Veenman

Erratum

Erratum to: Unsupervised interaction-preserving discretization of multivariate data

Hoang-Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Klemens Böhm

Sep 14

Ausgabe: 5-6/2014

Special issue: ECML PKDD 2014

Mär 15

Ausgabe: 2/2015

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Springer Professional

Data Mining and Knowledge Discovery

Ausgabe 1/2015

Inhalt (10 Artikel)

Editorial

Clustering categorical data in projected spaces

Ensemble anomaly detection from multi-resolution trajectory features

Summarizing numeric spatial data streams by trend cluster discovery

Sequential network change detection with its applications to ad impact relation analysis

Very fast decision rules for classification in data streams

Link prediction in heterogeneous data via generalized coupled tensor factorization

To tune or not to tune: rule evaluation for metaheuristic-based sequential covering algorithms

Visualizing multi-dimensional decision boundaries in 2D

Erratum to: Unsupervised interaction-preserving discretization of multivariate data

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