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Data Mining and Knowledge Discovery

Inhalt (17 Artikel)

Editorial

Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track

Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo

Learning about meetings

Been Kim, Cynthia Rudin

Generalization-based privacy preservation and discrimination prevention in data publishing and mining

Sara Hajian, Josep Domingo-Ferrer, Oriol Farràs

Approximating the crowd

Şeyda Ertekin, Cynthia Rudin, Haym Hirsh

Ontology of core data mining entities

Panče Panov, Larisa Soldatova, Sašo Džeroski

Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering

Annalisa Appice, Donato Malerba

Preserving worker privacy in crowdsourcing

Hiroshi Kajino, Hiromi Arai, Hisashi Kashima

Self-organizing maps by difference of convex functions optimization

Hoai An Le Thi, Manh Cuong Nguyen

Unsupervised interaction-preserving discretization of multivariate data

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

Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas

Hao Wu, Jilles Vreeken, Nikolaj Tatti, Naren Ramakrishnan

Discovering bands from graphs

Nikolaj Tatti

Invariant time-series factorization

Josif Grabocka, Lars Schmidt-Thieme

Detecting localized homogeneous anomalies over spatio-temporal data

Aditya Telang, P. Deepak, Salil Joshi, Prasad Deshpande, Ranjana Rajendran

A peek into the black box: exploring classifiers by randomization

Andreas Henelius, Kai Puolamäki, Henrik Boström, Lars Asker, Panagiotis Papapetrou

Confidence bands for time series data

Jussi Korpela, Kai Puolamäki, Aristides Gionis

Classy: fast clustering streams of call-graphs

Orestis Kostakis

Overlapping community detection in labeled graphs

Esther Galbrun, Aristides Gionis, Nikolaj Tatti

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Springer Professional

Data Mining and Knowledge Discovery

Ausgabe 5-6/2014

Special issue: ECML PKDD 2014

Inhalt (17 Artikel)

Guest editors’ introduction: special issue of the ECML/PKDD 2014 journal track

Learning about meetings

Generalization-based privacy preservation and discrimination prevention in data publishing and mining

Approximating the crowd

Ontology of core data mining entities

Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering

Preserving worker privacy in crowdsourcing

Self-organizing maps by difference of convex functions optimization

Unsupervised interaction-preserving discretization of multivariate data

Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas

Discovering bands from graphs

Invariant time-series factorization

Detecting localized homogeneous anomalies over spatio-temporal data

A peek into the black box: exploring classifiers by randomization

Confidence bands for time series data

Classy: fast clustering streams of call-graphs

Overlapping community detection in labeled graphs

Aktuelle Ausgaben

Data Mining and Knowledge Discovery 2/2024

Data Mining and Knowledge Discovery 1/2024

Data Mining and Knowledge Discovery 6/2023

Data Mining and Knowledge Discovery 5/2023

Data Mining and Knowledge Discovery 4/2023

Data Mining and Knowledge Discovery 3/2023

Data Mining and Knowledge Discovery 2/2023

Data Mining and Knowledge Discovery 1/2023

Data Mining and Knowledge Discovery 6/2022

Data Mining and Knowledge Discovery 5/2022