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More for less: adaptive labeling payments in online labor markets

JOURNAL ARTICLE published November 2019 in Data Mining and Knowledge Discovery

Authors: Tomer Geva | Maytal Saar-Tsechansky | Harel Lustiger

DRESS: dimensionality reduction for efficient sequence search

JOURNAL ARTICLE published September 2015 in Data Mining and Knowledge Discovery

Authors: Alexios Kotsifakos | Alexandra Stefan | Vassilis Athitsos | Gautam Das | Panagiotis Papapetrou

Discovering bands from graphs

JOURNAL ARTICLE published September 2014 in Data Mining and Knowledge Discovery

Authors: Nikolaj Tatti

Classification of multi class dataset using wavelet power spectrum

JOURNAL ARTICLE published 23 October 2007 in Data Mining and Knowledge Discovery

Authors: S. Prabakaran | Rajendra Sahu | Sekher Verma

Enhancing aggregation phase of microaggregation methods for interval disclosure risk minimization

JOURNAL ARTICLE published May 2016 in Data Mining and Knowledge Discovery

Authors: Reza Mortazavi | Saeed Jalili

Locating the contagion source in networks with partial timestamps

JOURNAL ARTICLE published September 2016 in Data Mining and Knowledge Discovery

Authors: Kai Zhu | Zhen Chen | Lei Ying

JOURNAL ARTICLE published 2003 in Data Mining and Knowledge Discovery

Authors: Won Kim | Byoung-Ju Choi | Eui-Kyeong Hong | Soo-Kyung Kim | Doheon Lee

Mining Surprising Periodic Patterns

JOURNAL ARTICLE published September 2004 in Data Mining and Knowledge Discovery

Authors: Jiong Yang | Wei Wang | Philip S. Yu

Active exploration for large graphs

JOURNAL ARTICLE published May 2016 in Data Mining and Knowledge Discovery

Authors: Meng Fang | Jie Yin | Xingquan Zhu

JOURNAL ARTICLE published 2003 in Data Mining and Knowledge Discovery

Authors: David M. Rocke | Jian Dai

Improving constrained pattern mining with first-fail-based heuristics

JOURNAL ARTICLE published July 2011 in Data Mining and Knowledge Discovery

Authors: Christian Desrosiers | Philippe Galinier | Alain Hertz | Pierre Hansen

Correction to: A unified view of density-based methods for semi-supervised clustering and classification

JOURNAL ARTICLE published November 2020 in Data Mining and Knowledge Discovery

Authors: Jadson Castro Gertrudes | Arthur Zimek | Jörg Sander | Ricardo J. G. B. Campello

Efficiently mining cohesion-based patterns and rules in event sequences

JOURNAL ARTICLE published July 2019 in Data Mining and Knowledge Discovery

Research funded by VLAIO (HYMOP)

Authors: Boris Cule | Len Feremans | Bart Goethals

Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization

JOURNAL ARTICLE published May 2024 in Data Mining and Knowledge Discovery

Authors: Michael G. Schimek | Luca Vitale | Bastian Pfeifer | Michele La Rocca

Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture

JOURNAL ARTICLE published May 2024 in Data Mining and Knowledge Discovery

Authors: Moshe Unger | Michel Wedel | Alexander Tuzhilin

Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning

JOURNAL ARTICLE published May 2024 in Data Mining and Knowledge Discovery

Research funded by National Center for Advancing Translational Sciences (UL1TR003015/ KL2TR003016)

Authors: Nazanin Moradinasab | Suchetha Sharma | Ronen Bar-Yoseph | Shlomit Radom-Aizik | Kenneth C. Bilchick | Dan M. Cooper | Arthur Weltman | Donald E. Brown

CompTrails: comparing hypotheses across behavioral networks

JOURNAL ARTICLE published May 2024 in Data Mining and Knowledge Discovery

Research funded by Bundesministerium für Bildung und Forschung (01PU17012C) | Deutsche Forschungsgemeinschaft (HO 2586/10-1,01IS22077)

Authors: Tobias Koopmann | Martin Becker | Florian Lemmerich | Andreas Hotho

Discovering recurring activity in temporal networks

JOURNAL ARTICLE published November 2017 in Data Mining and Knowledge Discovery

Authors: Orestis Kostakis | Nikolaj Tatti | Aristides Gionis

Random walk with restart on hypergraphs: fast computation and an application to anomaly detection

JOURNAL ARTICLE published May 2024 in Data Mining and Knowledge Discovery

Research funded by National Research Foundation of Korea (2020R1C1C1008296,2021R1C1C1008526) | Institute for Information and Communications Technology Promotion (2019-0-00075,2021-0-02068)

Authors: Jaewan Chun | Geon Lee | Kijung Shin | Jinhong Jung

Using derivatives in time series classification

JOURNAL ARTICLE published March 2013 in Data Mining and Knowledge Discovery

Authors: Tomasz Górecki | Maciej Łuczak