Metadata Search Funding Data Link References Status API Help
Facet browsing currently unavailable
Page 10 of 1163 results
Sort by: relevance publication year

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

VFC-SMOTE: very fast continuous synthetic minority oversampling for evolving data streams

JOURNAL ARTICLE published November 2021 in Data Mining and Knowledge Discovery

Authors: Alessio Bernardo | Emanuele Della Valle

JOURNAL ARTICLE published 2003 in Data Mining and Knowledge Discovery

Authors: Cristian Bucilă

Multi-relational pattern mining over data streams

JOURNAL ARTICLE published November 2015 in Data Mining and Knowledge Discovery

Authors: Andreia Silva | Cláudia Antunes

JOURNAL ARTICLE published 2001 in Data Mining and Knowledge Discovery

Authors: Myra Spiliopoulou | Carsten Pohle

Efficient prediction algorithms for binary decomposition techniques

JOURNAL ARTICLE published January 2012 in Data Mining and Knowledge Discovery

Authors: Sang-Hyeun Park | Johannes Fürnkranz

Shapley values for cluster importance

JOURNAL ARTICLE published 6 December 2022 in Data Mining and Knowledge Discovery

Research funded by Norges Forskningsråd (251396,237718)

Authors: Andreas Brandsæter | Ingrid K. Glad

TEAGS: time-aware text embedding approach to generate subgraphs

JOURNAL ARTICLE published July 2020 in Data Mining and Knowledge Discovery

Authors: Saeid Hosseini | Saeed Najafipour | Ngai-Man Cheung | Hongzhi Yin | Mohammad Reza Kangavari | Xiaofang Zhou

Hierarchical visual event pattern mining and its applications

JOURNAL ARTICLE published May 2011 in Data Mining and Knowledge Discovery

Authors: Peng Cui | Zhi-Qiang Liu | Li-Feng Sun | Shi-Qiang Yang

An integrated, generic approach to pattern mining: data mining template library

JOURNAL ARTICLE published December 2008 in Data Mining and Knowledge Discovery

Authors: Vineet Chaoji | Mohammad Al Hasan | Saeed Salem | Mohammed J. Zaki

All normalized anti-monotonic overlap graph measures are bounded

JOURNAL ARTICLE published November 2011 in Data Mining and Knowledge Discovery

Authors: Toon Calders | Jan Ramon | Dries Van Dyck

Hierarchical co-clustering: off-line and incremental approaches

JOURNAL ARTICLE published January 2014 in Data Mining and Knowledge Discovery

Authors: Ruggero G. Pensa | Dino Ienco | Rosa Meo

Parameter-less co-clustering for star-structured heterogeneous data

JOURNAL ARTICLE published March 2013 in Data Mining and Knowledge Discovery

Authors: Dino Ienco | Céline Robardet | Ruggero G. Pensa | Rosa Meo

An improvement of the parameterized frequent directions algorithm

JOURNAL ARTICLE published March 2018 in Data Mining and Knowledge Discovery

Authors: Deena P. Francis | Kumudha Raimond

Streaming changepoint detection for transition matrices

JOURNAL ARTICLE published July 2021 in Data Mining and Knowledge Discovery

Research funded by Imperial College London (President’s PhD scholarship)

Authors: Joshua Plasse | Henrique Hoeltgebaum | Niall M. Adams

Making clusterings fairer by post-processing: algorithms, complexity results and experiments

JOURNAL ARTICLE published July 2023 in Data Mining and Knowledge Discovery

Research funded by Directorate for Computer and Information Science and Engineering (IIS-1908530,IIS-1910306)

Authors: Ian Davidson | Zilong Bai | Cindy Mylinh Tran | S. S. Ravi

Outlier detection using binary decision diagrams

JOURNAL ARTICLE published March 2017 in Data Mining and Knowledge Discovery

Authors: Takuro Kutsuna | Akihiro Yamamoto

Fast support vector machines for convolution tree kernels

JOURNAL ARTICLE published September 2012 in Data Mining and Knowledge Discovery

Authors: Aliaksei Severyn | Alessandro Moschitti

Reviewer acknowledgment

JOURNAL ARTICLE published July 2017 in Data Mining and Knowledge Discovery

Using regression makes extraction of shared variation in multiple datasets easy

JOURNAL ARTICLE published September 2016 in Data Mining and Knowledge Discovery

Research funded by Tekes (5159/31/2014,40228/13) | Academy of Finland (251170,26696)

Authors: Jussi Korpela | Andreas Henelius | Lauri Ahonen | Arto Klami | Kai Puolamäki