nach oben

Data Mining and Knowledge Discovery

Inhalt (17 Artikel)

Guest editors’ introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning

Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet

Irrevocable-choice algorithms for sampling from a stream

Yan Zhu, Eamonn Keogh

A distributed approach for graph mining in massive networks

N. Talukder, M. J. Zaki

Generalized random shapelet forests

Isak Karlsson, Panagiotis Papapetrou, Henrik Boström

Skopus: Mining top-k sequential patterns under leverage

François Petitjean, Tao Li, Nikolaj Tatti, Geoffrey I. Webb

Using regression makes extraction of shared variation in multiple datasets easy

Jussi Korpela, Andreas Henelius, Lauri Ahonen, Arto Klami, Kai Puolamäki

Top-k overlapping densest subgraphs

Esther Galbrun, Aristides Gionis, Nikolaj Tatti

Bayesian Wishart matrix factorization

Cheng Luo, Xiongcai Cai

Ensembles of label noise filters: a ranking approach

Luís P. F. Garcia, Ana C. Lorena, Stan Matwin, André C. P. L. F. de Carvalho

Locating the contagion source in networks with partial timestamps

Kai Zhu, Zhen Chen, Lei Ying

Mining rooted ordered trees under subtree homeomorphism

Mostafa Haghir Chehreghani, Maurice Bruynooghe

Scalable time series classification

Patrick Schäfer

C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared content

Geert Heyman, Ivan Vulić, Marie-Francine Moens

ClusPath: a temporal-driven clustering to infer typical evolution paths

Marian-Andrei Rizoiu, Julien Velcin, Stéphane Bonnevay, Stéphane Lallich

An efficient exact algorithm for triangle listing in large graphs

Sofiane Lagraa, Hamida Seba

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

Michiel Stock, Krzysztof Dembczyński, Bernard De Baets, Willem Waegeman

Optimizing network robustness by edge rewiring: a general framework

Hau Chan, Leman Akoglu

Aktuelle Ausgaben

Scrollen für mehr

Benutzen Sie die Pfeiltasten für mehr

Scrollen oder Pfeiltasten für mehr

Springer Professional

Data Mining and Knowledge Discovery

Ausgabe 5/2016

ECML PKDD 2016 Journal Track Special Issue

Inhalt (17 Artikel)

Guest editors’ introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning

Irrevocable-choice algorithms for sampling from a stream

A distributed approach for graph mining in massive networks

Generalized random shapelet forests

Skopus: Mining top-k sequential patterns under leverage

Using regression makes extraction of shared variation in multiple datasets easy

Top-k overlapping densest subgraphs

Bayesian Wishart matrix factorization

Ensembles of label noise filters: a ranking approach

Locating the contagion source in networks with partial timestamps

Mining rooted ordered trees under subtree homeomorphism

Scalable time series classification

C-BiLDA extracting cross-lingual topics from non-parallel texts by distinguishing shared from unshared content

ClusPath: a temporal-driven clustering to infer typical evolution paths

An efficient exact algorithm for triangle listing in large graphs

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

Optimizing network robustness by edge rewiring: a general framework

Aktuelle Ausgaben

Data Mining and Knowledge Discovery 3/2024

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

Premium Partner