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VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams

JOURNAL ARTICLE published November 2021 in Data Mining and Knowledge Discovery

Authors: Alessio Bernardo | Emanuele Della Valle

JOURNAL ARTICLE published 1997 in Data Mining and Knowledge Discovery

Authors: David W. Pfitzner | John K. Salmon | Thomas Sterling

A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection

JOURNAL ARTICLE published May 2010 in Data Mining and Knowledge Discovery

Authors: Xia Jiang | Gregory F. Cooper

A survey of deep network techniques all classifiers can adopt

JOURNAL ARTICLE published January 2021 in Data Mining and Knowledge Discovery

Research funded by National Science Foundation (1543656)

Authors: Alireza Ghods | Diane J. Cook

Extended missing data imputation via GANs for ranking applications

JOURNAL ARTICLE published July 2022 in Data Mining and Knowledge Discovery

Research funded by National Science Foundation (1934985,1940124) | National Science Foundation (1940276,2114143)

Authors: Grace Deng | Cuize Han | David S. Matteson

JOURNAL ARTICLE published 1999 in Data Mining and Knowledge Discovery

Authors: Y. Xiang | T. Chu

Link prediction in dynamic networks using random dot product graphs

JOURNAL ARTICLE published September 2021 in Data Mining and Knowledge Discovery

Authors: Francesco Sanna Passino | Anna S. Bertiger | Joshua C. Neil | Nicholas A. Heard

A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings

JOURNAL ARTICLE published November 2010 in Data Mining and Knowledge Discovery

Authors: Eric Bae | James Bailey | Guozhu Dong

Using Generalized Estimating Equation to Learn Decision Tree with Multivariate Responses

JOURNAL ARTICLE published November 2005 in Data Mining and Knowledge Discovery

Authors: Seong Keon Lee | Hyun-Cheol Kang | Sang-Tae Han | Kwang-Hwan Kim

Guest editors introduction: special issue of the ECMLPKDD 2015 journal track

JOURNAL ARTICLE published September 2015 in Data Mining and Knowledge Discovery

Authors: Concha Bielza | João Gama | Alípio Jorge | Indrė Žliobaitė

Community detection in interval-weighted networks

JOURNAL ARTICLE published 9 October 2023 in Data Mining and Knowledge Discovery

Research funded by Fundação para a Ciência e a Tecnologia (LA/P/0063/2020)

Authors: Hélder Alves | Paula Brito | Pedro Campos

Efficient histogram dictionary learning for text/image modeling and classification

JOURNAL ARTICLE published January 2017 in Data Mining and Knowledge Discovery

Research funded by National Research Foundation of Korea (KR) (NRF- 2013R1A1A1076101)

Authors: Minyoung Kim

Guest Editors’ Introduction: special issue of selected papers from ECML PKDD 2011

JOURNAL ARTICLE published September 2012 in Data Mining and Knowledge Discovery

Authors: Dimitrios Gunopulos | Donato Malerba | Michalis Vazirgiannis

Guest editors’ introduction: special issue of selected papers from ECML PKDD 2009

JOURNAL ARTICLE published October 2009 in Data Mining and Knowledge Discovery

Authors: Aleksander Kolcz | Dunja Mladenic | Wray Buntine | Marko Grobelnik | John Shawe-Taylor

Explaining anomalies in groups with characterizing subspace rules

JOURNAL ARTICLE published September 2018 in Data Mining and Knowledge Discovery

Research funded by National Science Foundation (1452425)

Authors: Meghanath Macha | Leman Akoglu

End-to-end deep representation learning for time series clustering: a comparative study

JOURNAL ARTICLE published January 2022 in Data Mining and Knowledge Discovery

Research funded by Agence Nationale de la Recherche (ANR-17-CE23-0015)

Authors: Baptiste Lafabregue | Jonathan Weber | Pierre Gançarski | Germain Forestier

Deep soccer analytics: learning an action-value function for evaluating soccer players

JOURNAL ARTICLE published September 2020 in Data Mining and Knowledge Discovery

Research funded by Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (Strategy Project Grant 521357)

Authors: Guiliang Liu | Yudong Luo | Oliver Schulte | Tarak Kharrat

Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data

JOURNAL ARTICLE published July 2015 in Data Mining and Knowledge Discovery

Authors: Sunayan Bandyopadhyay | Julian Wolfson | David M. Vock | Gabriela Vazquez-Benitez | Gediminas Adomavicius | Mohamed Elidrisi | Paul E. Johnson | Patrick J. O’Connor

VizRank: Data Visualization Guided by Machine Learning

JOURNAL ARTICLE published September 2006 in Data Mining and Knowledge Discovery

Authors: Gregor Leban | Blaž Zupan | Gaj Vidmar | Ivan Bratko

Mondrian forest for data stream classification under memory constraints

JOURNAL ARTICLE published 17 October 2023 in Data Mining and Knowledge Discovery

Research funded by Natural Sciences and Engineering Research Council of Canada (http://dx.doi.org/10.13039/501100000038)

Authors: Martin Khannouz | Tristan Glatard