| Top 10 algorithms in data mining X Wu, V Kumar, J Ross Quinlan, J Ghosh, Q Yang, H Motoda, ... Knowledge and information systems 14, 1-37, 2008 | 7975 | 2008 |
| Feature selection for knowledge discovery and data mining H Liu, H Motoda Springer science & business media, 2012 | 3180 | 2012 |
| Computational methods of feature selection H Liu, H Motoda CRC press, 2007 | 1785 | 2007 |
| An apriori-based algorithm for mining frequent substructures from graph data A Inokuchi, T Washio, H Motoda Principles of Data Mining and Knowledge Discovery: 4th European Conference …, 2000 | 1594 | 2000 |
| Feature extraction, construction and selection: A data mining perspective H Liu, H Motoda Springer Science & Business Media, 1998 | 1526* | 1998 |
| A flash-memory based file system. A Kawaguchi, S Nishioka, H Motoda USENIX, 155-164, 1995 | 795 | 1995 |
| State of the art of graph-based data mining T Washio, H Motoda Acm Sigkdd Explorations Newsletter 5 (1), 59-68, 2003 | 684 | 2003 |
| Feature selection: An ever evolving frontier in data mining H Liu, H Motoda, R Setiono, Z Zhao Feature selection in data mining, 4-13, 2010 | 591 | 2010 |
| Complete mining of frequent patterns from graphs: Mining graph data A Inokuchi, T Washio, H Motoda Machine Learning 50, 321-354, 2003 | 407 | 2003 |
| Consistency based feature selection M Dash, H Liu, H Motoda Knowledge Discovery and Data Mining. Current Issues and New Applications …, 2000 | 303 | 2000 |
| On issues of instance selection H Liu, H Motoda Data Mining and Knowledge Discovery 6 (2), 115, 2002 | 289 | 2002 |
| Blocking links to minimize contamination spread in a social network M Kimura, K Saito, H Motoda ACM Transactions on Knowledge Discovery from Data (TKDD) 3 (2), 1-23, 2009 | 279 | 2009 |
| Extracting influential nodes on a social network for information diffusion M Kimura, K Saito, R Nakano, H Motoda Data Mining and Knowledge Discovery 20, 70-97, 2010 | 259 | 2010 |
| Feature selection, extraction and construction H Motoda, H Liu Communication of IICM (Institute of Information and Computing Machinery …, 2002 | 245 | 2002 |
| A selective sampling approach to active feature selection H Liu, H Motoda, L Yu Artificial Intelligence 159 (1-2), 49-74, 2004 | 219 | 2004 |
| Learning continuous-time information diffusion model for social behavioral data analysis K Saito, M Kimura, K Ohara, H Motoda Advances in Machine Learning: First Asian Conference on Machine Learning …, 2009 | 204 | 2009 |
| Minimizing the spread of contamination by blocking links in a network. M Kimura, K Saito, H Motoda Aaai 8, 1175-1180, 2008 | 171 | 2008 |
| Selecting information diffusion models over social networks for behavioral analysis K Saito, M Kimura, K Ohara, H Motoda Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 145 | 2010 |
| Advances in knowledge discovery and data mining R Campello, D Moulavi, J Sander, J Pei, VS Tseng, L Cao, H Motoda, ... Berlin, Heidelberg, 160-172, 2013 | 143 | 2013 |
| Learning diffusion probability based on node attributes in social networks K Saito, K Ohara, Y Yamagishi, M Kimura, H Motoda Foundations of Intelligent Systems: 19th International Symposium, ISMIS 2011 …, 2011 | 143 | 2011 |