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MINAS: multiclass learning algorithm for novelty detection in data streams

JOURNAL ARTICLE published May 2016 in Data Mining and Knowledge Discovery

Research funded by North Portugal Regional Operational Programme (NORTE-07-0124-FEDER-000056/59) | European Commission (BE) (ICT-2013-612944)

Authors: Elaine Ribeiro de Faria | André Carlos Ponce de Leon Ferreira Carvalho | João Gama

Smoothed dilated convolutions for improved dense prediction

JOURNAL ARTICLE published July 2021 in Data Mining and Knowledge Discovery

Research funded by Division of Information and Intelligent Systems (1633359) | Defense Advanced Research Projects Agency (N66001-17-2-4031)

Authors: Zhengyang Wang | Shuiwang Ji

Exploiting unlabeled data to enhance ensemble diversity

JOURNAL ARTICLE published January 2013 in Data Mining and Knowledge Discovery

Authors: Min-Ling Zhang | Zhi-Hua Zhou

Compression-based data mining of sequential data

JOURNAL ARTICLE published 24 February 2007 in Data Mining and Knowledge Discovery

Authors: Eamonn Keogh | Stefano Lonardi | Chotirat Ann Ratanamahatana | Li Wei | Sang-Hee Lee | John Handley

Exploring uplift modeling with high class imbalance

JOURNAL ARTICLE published March 2023 in Data Mining and Knowledge Discovery

Research funded by Tekes (6878)

Authors: Otto Nyberg | Arto Klami

Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting

JOURNAL ARTICLE published March 2019 in Data Mining and Knowledge Discovery

Research funded by Slovak Research and Development Agency (APVV-16-0484,APVV-16-0213) | Scientific Grant Agency of The Slovak Republic (VG 1/0458/18)

Authors: Peter Laurinec | Mária Lucká

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

BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent

JOURNAL ARTICLE published November 2021 in Data Mining and Knowledge Discovery

Research funded by Ministero dell’Istruzione, dell’Università e della Ricerca (1852414-1-1)

Authors: Sibylle Hess | Gianvito Pio | Michiel Hochstenbach | Michelangelo Ceci

Multi-label learning with missing and completely unobserved labels

JOURNAL ARTICLE published May 2021 in Data Mining and Knowledge Discovery

Research funded by Young Scientists Fund (61806005) | Japan Science and Technology Corporation (191400000190) | JST-AIP (JPMJCR19U4)

Authors: Jun Huang | Linchuan Xu | Kun Qian | Jing Wang | Kenji Yamanishi

JOURNAL ARTICLE published 1998 in Data Mining and Knowledge Discovery

Authors: Jörg Sander | Martin Ester | Hans-Peter Kriegel | Xiaowei Xu

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

JOURNAL ARTICLE published May 2017 in Data Mining and Knowledge Discovery

Research funded by Engineering and Physical Sciences Research Council (EP/M015087/1)

Authors: Anthony Bagnall | Jason Lines | Aaron Bostrom | James Large | Eamonn Keogh

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

JOURNAL ARTICLE published March 2021 in Data Mining and Knowledge Discovery

Research funded by Engineering and Physical Sciences Research Council (EP/M015807/1) | Biotechnology and Biological Sciences Research Council (BB/M011216/1)

Authors: Alejandro Pasos Ruiz | Michael Flynn | James Large | Matthew Middlehurst | Anthony Bagnall

JOURNAL ARTICLE published 1997 in Data Mining and Knowledge Discovery

Authors: Jerome H. Friedman

Activity recognition in beach volleyball using a Deep Convolutional Neural Network

JOURNAL ARTICLE published November 2017 in Data Mining and Knowledge Discovery

Authors: Thomas Kautz | Benjamin H. Groh | Julius Hannink | Ulf Jensen | Holger Strubberg | Bjoern M. Eskofier

Graph based anomaly detection and description: a survey

JOURNAL ARTICLE published May 2015 in Data Mining and Knowledge Discovery

Authors: Leman Akoglu | Hanghang Tong | Danai Koutra

Explaining clusterings of process instances

JOURNAL ARTICLE published May 2017 in Data Mining and Knowledge Discovery

Authors: Pieter De Koninck | Jochen De Weerdt | Seppe K. L. M. vanden Broucke

Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications

JOURNAL ARTICLE published November 2023 in Data Mining and Knowledge Discovery

Research funded by National Research Foundation of Korea (2020R1C1C1008296) | Institute for Information and Communications Technology Promotion (2019-0-00075,2022-0-00871)

Authors: Fanchen Bu | Geon Lee | Kijung Shin

An ultra-fast time series distance measure to allow data mining in more complex real-world deployments

JOURNAL ARTICLE published July 2020 in Data Mining and Knowledge Discovery

Authors: Shaghayegh Gharghabi | Shima Imani | Anthony Bagnall | Amirali Darvishzadeh | Eamonn Keogh

G-Tries: a data structure for storing and finding subgraphs

JOURNAL ARTICLE published March 2014 in Data Mining and Knowledge Discovery

Authors: Pedro Ribeiro | Fernando Silva

Exact variable-length anomaly detection algorithm for univariate and multivariate time series

JOURNAL ARTICLE published November 2018 in Data Mining and Knowledge Discovery

Research funded by Semiconductor Research Corporation (2015-IN-2611)

Authors: Xing Wang | Jessica Lin | Nital Patel | Martin Braun