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JOURNAL ARTICLE published 1998 in Data Mining and Knowledge Discovery

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

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

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

Scalable time series classification

JOURNAL ARTICLE published September 2016 in Data Mining and Knowledge Discovery

Research funded by German Federal Ministry of Education and Research (01IS14013A)

Authors: Patrick Schäfer

Using dynamic time warping distances as features for improved time series classification

JOURNAL ARTICLE published March 2016 in Data Mining and Knowledge Discovery

Authors: Rohit J. Kate

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

A distributed approach for graph mining in massive networks

JOURNAL ARTICLE published September 2016 in Data Mining and Knowledge Discovery

Research funded by National Science Foundation (IIS-1302231)

Authors: N. Talukder | M. J. Zaki

Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing

JOURNAL ARTICLE published November 2005 in Data Mining and Knowledge Discovery

Authors: Hwanjo Yu | Jiong Yang | Jiawei Han | Xiaolei Li

A computational approach inspired by simulated annealing to study the stability of protein interaction networks in cancer and neurological disorders

JOURNAL ARTICLE published January 2016 in Data Mining and Knowledge Discovery

Authors: Kristina Ibáñez | María Guijarro | Gonzalo Pajares | Alfonso Valencia

Infinite ensemble clustering

JOURNAL ARTICLE published March 2018 in Data Mining and Knowledge Discovery

Research funded by Directorate for Computer and Information Science and Engineering (1314484) | Office of Naval Research Global (N00014-12-1-1028) | U.S. Naval Research Laboratory (N00014-14-1-0484) | Army Research Laboratory (W911NF-14-1-0218)

Authors: Hongfu Liu | Ming Shao | Sheng Li | Yun Fu

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

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

JOURNAL ARTICLE published 1999 in Data Mining and Knowledge Discovery

Authors: Ashwin Srinivasan

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

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting

JOURNAL ARTICLE published 21 May 2024 in Data Mining and Knowledge Discovery

Research funded by National Key Research and Development Project (No.2020AAA0106200) | the National Nature Science Foundation of China (62325206,619360005) | Key Research and Development Program of Jiangsu Province (BE2023016-4) | Natural Science Foundation of Jiangsu Province (BK20210595)

Authors: Mingjie Qiu | Zhiyi Tan | Bing-Kun Bao

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

Visualizing multi-dimensional decision boundaries in 2D

JOURNAL ARTICLE published January 2015 in Data Mining and Knowledge Discovery

Authors: M. A. Migut | M. Worring | C. J. Veenman

Data mining with Temporal Abstractions: learning rules from time series

JOURNAL ARTICLE published 17 August 2007 in Data Mining and Knowledge Discovery

Authors: Lucia Sacchi | Cristiana Larizza | Carlo Combi | Riccardo Bellazzi

Fast, accurate and explainable time series classification through randomization

JOURNAL ARTICLE published March 2024 in Data Mining and Knowledge Discovery

Research funded by Australian Research Council's Discovery Projects (DP170102472)

Authors: Nestor Cabello | Elham Naghizade | Jianzhong Qi | Lars Kulik

A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs

JOURNAL ARTICLE published July 2006 in Data Mining and Knowledge Discovery

Authors: Laura Măruşter | A. J. M. M. Weijters | Wil M. P. Van Der Aalst | Antal Van Den Bosch