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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

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

Unsupervised feature based algorithms for time series extrinsic regression

JOURNAL ARTICLE published 19 May 2024 in Data Mining and Knowledge Discovery

Research funded by Agencia Española de Investigación (PID2020-115454GB-C22 / AEI / 10.13039 / 501100011033) | NextGenerationEU (UCOR01MS) | Engineering and Physical Sciences Research Council (EP/W030756/1,EP/W030756/1) | São Paulo Research Foundation (#2022/12486-4 and #2022/00305-5,#2022/03176-1)

Authors: David Guijo-Rubio | Matthew Middlehurst | Guilherme Arcencio | Diego Furtado Silva | Anthony Bagnall

A Bit Level Representation for Time Series Data Mining with Shape Based Similarity

JOURNAL ARTICLE published 12 June 2006 in Data Mining and Knowledge Discovery

Authors: Anthony Bagnall | Chotirat “Ann” Ratanamahatana | Eamonn Keogh | Stefano Lonardi | Gareth Janacek

A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction

JOURNAL ARTICLE published July 2023 in Data Mining and Knowledge Discovery

Authors: Fanling Huang | Yangdong Deng

Behavioral event data and their analysis

JOURNAL ARTICLE published November 2012 in Data Mining and Knowledge Discovery

Authors: Ian Davidson | Sean Gilpin | Peter B. Walker

Eigenvectors of directed graphs and importance scores: dominance, T-Rank, and sink remedies

JOURNAL ARTICLE published January 2010 in Data Mining and Knowledge Discovery

Authors: J. Bjelland | M. Burgess | G. Canright | K. Engø-Monsen

A framework for condensation-based anonymization of string data

JOURNAL ARTICLE published June 2008 in Data Mining and Knowledge Discovery

Authors: Charu C. Aggarwal | Philip S. Yu

Efficient algorithms for segmentation of item-set time series

JOURNAL ARTICLE published December 2008 in Data Mining and Knowledge Discovery

Authors: Parvathi Chundi | Daniel J. Rosenkrantz

Information Preserving Time Decompositions of Time Stamped Documents*

JOURNAL ARTICLE published 12 June 2006 in Data Mining and Knowledge Discovery

Authors: Parvathi Chundi | Daniel J. Rosenkrantz

A recurrent neural network architecture to model physical activity energy expenditure in older people

JOURNAL ARTICLE published January 2022 in Data Mining and Knowledge Discovery

Authors: Stylianos Paraschiakos | Cláudio Rebelo de Sá | Jeremiah Okai | P. Eline Slagboom | Marian Beekman | Arno Knobbe

An overlap sensitive neural network for class imbalanced data

JOURNAL ARTICLE published July 2021 in Data Mining and Knowledge Discovery

Authors: Shaukat Ali Shahee | Usha Ananthakumar

Building an Association Rules Framework to Improve Product Assortment Decisions

JOURNAL ARTICLE published January 2004 in Data Mining and Knowledge Discovery

Authors: Tom Brijs | Gilbert Swinnen | Koen Vanhoof | Geert Wets

An exemplar-based clustering using efficient variational message passing

JOURNAL ARTICLE published January 2021 in Data Mining and Knowledge Discovery

Authors: Mohamed Hamza Ibrahim | Rokia Missaoui

Dynamic slate recommendation with gated recurrent units and Thompson sampling

JOURNAL ARTICLE published September 2022 in Data Mining and Knowledge Discovery

Research funded by Norges Forskningsråd (294330,237718)

Authors: Simen Eide | David S. Leslie | Arnoldo Frigessi

Provable randomized rounding for minimum-similarity diversification

JOURNAL ARTICLE published March 2022 in Data Mining and Knowledge Discovery

Authors: Bruno Ordozgoiti | Ananth Mahadevan | Antonis Matakos | Aristides Gionis

Affinity-driven blog cascade analysis and prediction

JOURNAL ARTICLE published March 2014 in Data Mining and Knowledge Discovery

Authors: Hui Li | Sourav S Bhowmick | Aixin Sun | Jiangtao Cui

FiSH: fair spatial hot spots

JOURNAL ARTICLE published July 2023 in Data Mining and Knowledge Discovery

Authors: Deepak P. | Sowmya S. Sundaram

Interpreting deep learning models with marginal attribution by conditioning on quantiles

JOURNAL ARTICLE published July 2022 in Data Mining and Knowledge Discovery

Authors: Michael Merz | Ronald Richman | Andreas Tsanakas | Mario V. Wüthrich