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An adaptive algorithm for anomaly and novelty detection in evolving data streams

JOURNAL ARTICLE published November 2018 in Data Mining and Knowledge Discovery

Authors: Mohamed-Rafik Bouguelia | Slawomir Nowaczyk | Amir H. Payberah

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers

JOURNAL ARTICLE published 15 May 2019 in Data Mining and Knowledge Discovery

Research funded by Academy of Finland (289903,311273)

Authors: Antti Airola | Jonne Pohjankukka | Johanna Torppa | Maarit Middleton | Vesa Nykänen | Jukka Heikkonen | Tapio Pahikkala

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

Community discovery using nonnegative matrix factorization

JOURNAL ARTICLE published May 2011 in Data Mining and Knowledge Discovery

Authors: Fei Wang | Tao Li | Xin Wang | Shenghuo Zhu | Chris Ding

JOURNAL ARTICLE published 1997 in Data Mining and Knowledge Discovery

Authors: Jerome H. Friedman

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

Computing LTS Regression for Large Data Sets

JOURNAL ARTICLE published January 2006 in Data Mining and Knowledge Discovery

Authors: PETER J. ROUSSEEUW | KATRIEN VAN DRIESSEN

Time series classification with ensembles of elastic distance measures

JOURNAL ARTICLE published May 2015 in Data Mining and Knowledge Discovery

Authors: Jason Lines | Anthony Bagnall

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

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

Mining process models with non-free-choice constructs

JOURNAL ARTICLE published October 2007 in Data Mining and Knowledge Discovery

Authors: Lijie Wen | Wil M. P. van der Aalst | Jianmin Wang | Jiaguang Sun

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

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

Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations

JOURNAL ARTICLE published September 2020 in Data Mining and Knowledge Discovery

Authors: Shameem A. Puthiya Parambath | Sanjay Chawla

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

Attributed network embedding via subspace discovery

JOURNAL ARTICLE published November 2019 in Data Mining and Knowledge Discovery

Authors: Daokun Zhang | Jie Yin | Xingquan Zhu | Chengqi Zhang

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

JOURNAL ARTICLE published 2002 in Data Mining and Knowledge Discovery

Authors: Huan Liu | Farhad Hussain | Chew Lim Tan | Manoranjan Dash

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

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