SCALE: a scalable framework for efficiently clustering transactional data

JOURNAL ARTICLE published January 2010 in Data Mining and Knowledge Discovery

Authors: Hua Yan | Keke Chen | Ling Liu | Zhang Yi

Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning

JOURNAL ARTICLE published May 2022 in Data Mining and Knowledge Discovery

Authors: Hankui Peng | Nicos G. Pavlidis

Reinforcing Web-object Categorization Through Interrelationships

JOURNAL ARTICLE published 3 May 2006 in Data Mining and Knowledge Discovery

Authors: GUI-RONG XUE | YONG YU | DOU SHEN | QIANG YANG | HUA-JUN ZENG | ZHENG CHEN

Adequate condensed representations of patterns

JOURNAL ARTICLE published August 2008 in Data Mining and Knowledge Discovery

Authors: Arnaud Soulet | Bruno Crémilleux

Harnessing the strengths of anytime algorithms for constant data streams

JOURNAL ARTICLE published October 2009 in Data Mining and Knowledge Discovery

Authors: Philipp Kranen | Thomas Seidl

Relational peculiarity-oriented mining

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

Authors: Muneaki Ohshima | Ning Zhong | YiYu Yao | Chunnian Liu

Using core-periphery structure to predict high centrality nodes in time-varying networks

JOURNAL ARTICLE published September 2018 in Data Mining and Knowledge Discovery

Authors: Soumya Sarkar | Sandipan Sikdar | Sanjukta Bhowmick | Animesh Mukherjee

Guest Editorial: Special Issue on impacting patient care by mining medical data

JOURNAL ARTICLE published May 2010 in Data Mining and Knowledge Discovery

Authors: Rómer E. Rosales | R. Bharat Rao

JOURNAL ARTICLE published 2000 in Data Mining and Knowledge Discovery

Authors: Surajit Chaudhuri

Properties of the sample estimators used for statistical normalization of feature vectors

JOURNAL ARTICLE published November 2015 in Data Mining and Knowledge Discovery

Authors: Mikhail Y. Prostov | Maria M. Suarez-Alvarez | Yuriy I. Prostov

JOURNAL ARTICLE published 1998 in Data Mining and Knowledge Discovery

Authors: Jef Wijsen | Robert Meersman

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

RTG: a recursive realistic graph generator using random typing

JOURNAL ARTICLE published October 2009 in Data Mining and Knowledge Discovery

Authors: Leman Akoglu | Christos Faloutsos

G-Tries: a data structure for storing and finding subgraphs

JOURNAL ARTICLE published March 2014 in Data Mining and Knowledge Discovery

Authors: Pedro Ribeiro | Fernando Silva

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 combinatorial multi-armed bandit approach to correlation clustering

JOURNAL ARTICLE published July 2023 in Data Mining and Knowledge Discovery

Authors: F. Gullo | D. Mandaglio | A. Tagarelli

Discovering episodes with compact minimal windows

JOURNAL ARTICLE published July 2014 in Data Mining and Knowledge Discovery

Authors: Nikolaj Tatti

JOURNAL ARTICLE published 1997 in Data Mining and Knowledge Discovery

Authors: David W. Pfitzner | John K. Salmon | Thomas Sterling

A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection

JOURNAL ARTICLE published May 2010 in Data Mining and Knowledge Discovery

Authors: Xia Jiang | Gregory F. Cooper

JOURNAL ARTICLE published 1999 in Data Mining and Knowledge Discovery

Authors: Y. Xiang | T. Chu