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ABBA: adaptive Brownian bridge-based symbolic aggregation of time series

JOURNAL ARTICLE published July 2020 in Data Mining and Knowledge Discovery

Authors: Steven Elsworth | Stefan Güttel

Mining top-K frequent itemsets through progressive sampling

JOURNAL ARTICLE published September 2010 in Data Mining and Knowledge Discovery

Authors: Andrea Pietracaprina | Matteo Riondato | Eli Upfal | Fabio Vandin

MixedTrails: Bayesian hypothesis comparison on heterogeneous sequential data

JOURNAL ARTICLE published September 2017 in Data Mining and Knowledge Discovery

Research funded by BMBF (Kallimachos) | Deutsche Forschungsgemeinschaft (PoSTs II)

Authors: Martin Becker | Florian Lemmerich | Philipp Singer | Markus Strohmaier | Andreas Hotho

Discrete-time survival forests with Hellinger distance decision trees

JOURNAL ARTICLE published May 2020 in Data Mining and Knowledge Discovery

Research funded by Deutsche Forschungsgemeinschaft (SCHM 2966/2-1)

Authors: Matthias Schmid | Thomas Welchowski | Marvin N. Wright | Moritz Berger

SICA: subjectively interesting component analysis

JOURNAL ARTICLE published July 2018 in Data Mining and Knowledge Discovery

Research funded by European Research Council (615517) | Fonds Wetenschappelijk Onderzoek (665501) | Engineering and Physical Sciences Research Council (EP/M000060/1) | Fonds Wetenschappelijk Onderzoek (G0F9816N,G091017N)

Authors: Bo Kang | Jefrey Lijffijt | Raúl Santos-Rodríguez | Tijl De Bie

Mondrian forest for data stream classification under memory constraints

JOURNAL ARTICLE published March 2024 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

Community detection in interval-weighted networks

JOURNAL ARTICLE published March 2024 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

A semi-supervised interactive algorithm for change point detection

JOURNAL ARTICLE published March 2024 in Data Mining and Knowledge Discovery

Research funded by FP7 Ideas: European Research Council (802895)

Authors: Zhenxiang Cao | Nick Seeuws | Maarten De Vos | Alexander Bertrand

Dataset2Vec: learning dataset meta-features

JOURNAL ARTICLE published May 2021 in Data Mining and Knowledge Discovery

Authors: Hadi S. Jomaa | Lars Schmidt-Thieme | Josif Grabocka

Learning influence from heterogeneous social networks

JOURNAL ARTICLE published November 2012 in Data Mining and Knowledge Discovery

Authors: Lu Liu | Jie Tang | Jiawei Han | Shiqiang Yang

JOURNAL ARTICLE published 2003 in Data Mining and Knowledge Discovery

Authors: Saharon Rosset

Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality

JOURNAL ARTICLE published July 2015 in Data Mining and Knowledge Discovery

Authors: Carlos Sáez | Pedro Pereira Rodrigues | João Gama | Montserrat Robles | Juan M. García-Gómez

Introducing the contrast profile: a novel time series primitive that allows real world classification

JOURNAL ARTICLE published March 2022 in Data Mining and Knowledge Discovery

Research funded by National Science Foundation (NSF IIS 2103976) | Agricultural Research Service (USDA NIFA-2017-67012-26100)

Authors: Ryan Mercer | Sara Alaee | Alireza Abdoli | Nader Shakibay Senobari | Shailendra Singh | Amy Murillo | Eamonn Keogh

Solving non-negative matrix factorization by alternating least squares with a modified strategy

JOURNAL ARTICLE published May 2013 in Data Mining and Knowledge Discovery

Authors: Hongwei Liu | Xiangli Li | Xiuyun Zheng

A time-efficient breadth-first level-wise lattice-traversal algorithm to discover rare itemsets

JOURNAL ARTICLE published May 2014 in Data Mining and Knowledge Discovery

Authors: Luigi Troiano | Giacomo Scibelli

Fair detection of poisoning attacks in federated learning on non-i.i.d. data

JOURNAL ARTICLE published September 2023 in Data Mining and Knowledge Discovery

Research funded by horizon 2020 framework programme (H2020-871042,H2020-101006879) | icrea (ICREA-Acadèmia Award) | Ministerio de Ciencia e Innovación (PID2021-123637NB-I00)

Authors: Ashneet Khandpur Singh | Alberto Blanco-Justicia | Josep Domingo-Ferrer

Scalable and exact sampling method for probabilistic generative graph models

JOURNAL ARTICLE published November 2018 in Data Mining and Knowledge Discovery

Research funded by CONICYT PAI: (82140043) | National Science Foundation (IIS-1149789) | National Science Foundation (IIS-1618690,IIS-1546488) | National Science Foundation (CCF-0939370)

Authors: Sebastian Moreno | Joseph J. Pfeiffer | Jennifer Neville

Discovering rare categories from graph streams

JOURNAL ARTICLE published March 2017 in Data Mining and Knowledge Discovery

Research funded by National Science Foundation (IIS-1552654)

Authors: Dawei Zhou | Arun Karthikeyan | Kangyang Wang | Nan Cao | Jingrui He

Very fast decision rules for classification in data streams

JOURNAL ARTICLE published January 2015 in Data Mining and Knowledge Discovery

Authors: Petr Kosina | João Gama

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