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Extended missing data imputation via GANs for ranking applications

JOURNAL ARTICLE published July 2022 in Data Mining and Knowledge Discovery

Research funded by National Science Foundation (1934985,1940124) | National Science Foundation (1940276,2114143)

Authors: Grace Deng | Cuize Han | David S. Matteson

Improving position encoding of transformers for multivariate time series classification

JOURNAL ARTICLE published January 2024 in Data Mining and Knowledge Discovery

Authors: Navid Mohammadi Foumani | Chang Wei Tan | Geoffrey I. Webb | Mahsa Salehi

Link prediction in dynamic networks using random dot product graphs

JOURNAL ARTICLE published September 2021 in Data Mining and Knowledge Discovery

Authors: Francesco Sanna Passino | Anna S. Bertiger | Joshua C. Neil | Nicholas A. Heard

Modeling user interests from web browsing activities

JOURNAL ARTICLE published March 2017 in Data Mining and Knowledge Discovery

Authors: Fabio Gasparetti

A clustering comparison measure using density profiles and its application to the discovery of alternate clusterings

JOURNAL ARTICLE published November 2010 in Data Mining and Knowledge Discovery

Authors: Eric Bae | James Bailey | Guozhu Dong

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

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

JOURNAL ARTICLE published 1999 in Data Mining and Knowledge Discovery

Authors: Ashwin Srinivasan

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

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

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

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

The Hadamard decomposition problem

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

Authors: Martino Ciaperoni | Aristides Gionis | Heikki Mannila