| 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), 1-37, 2008 | 6318 | 2008 |
| Feature selection for knowledge discovery and data mining H Liu, H Motoda Springer Science & Business Media, 2012 | 2806 | 2012 |
| Computational methods of feature selection H Liu, H Motoda CRC Press, 2007 | 1587 | 2007 |
| An apriori-based algorithm for mining frequent substructures from graph data A Inokuchi, T Washio, H Motoda European conference on principles of data mining and knowledge discovery, 13-23, 2000 | 1487 | 2000 |
| Feature extraction, construction and selection: A data mining perspective H Liu, H Motoda Springer Science & Business Media, 1998 | 1356* | 1998 |
| A flash-memory based file system. A Kawaguchi, S Nishioka, H Motoda USENIX, 155-164, 1995 | 761 | 1995 |
| State of the art of graph-based data mining T Washio, H Motoda Acm Sigkdd Explorations Newsletter 5 (1), 59-68, 2003 | 645 | 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 | 449 | 2010 |
| Complete mining of frequent patterns from graphs: Mining graph data A Inokuchi, T Washio, H Motoda Machine Learning 50 (3), 321-354, 2003 | 390 | 2003 |
| Consistency based feature selection M Dash, H Liu, H Motoda Pacific-Asia conference on knowledge discovery and data mining, 98-109, 2000 | 287 | 2000 |
| On issues of instance selection H Liu, H Motoda Data Mining and Knowledge Discovery 6 (2), 115, 2002 | 262 | 2002 |
| Extracting influential nodes on a social network for information diffusion M Kimura, K Saito, R Nakano, H Motoda Data Mining and Knowledge Discovery 20 (1), 70-97, 2010 | 243 | 2010 |
| 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 | 233 | 2009 |
| A selective sampling approach to active feature selection H Liu, H Motoda, L Yu Artificial Intelligence 159 (1-2), 49-74, 2004 | 203 | 2004 |
| Learning continuous-time information diffusion model for social behavioral data analysis K Saito, M Kimura, K Ohara, H Motoda Asian Conference on Machine Learning, 322-337, 2009 | 188 | 2009 |
| Feature selection, extraction and construction H Motoda, H Liu Communication of IICM (Institute of Information and Computing Machinery …, 2002 | 166 | 2002 |
| Minimizing the spread of contamination by blocking links in a network. M Kimura, K Saito, H Motoda Aaai 8, 1175-1180, 2008 | 143 | 2008 |
| Feature selection with selective sampling H Liu, H Motoda, L Yu In Proceedings of the Nineteenth International Conference on Machine Learning, 2002 | 138 | 2002 |
| Selecting information diffusion models over social networks for behavioral analysis K Saito, M Kimura, K Ohara, H Motoda Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010 | 133 | 2010 |
| Learning diffusion probability based on node attributes in social networks K Saito, K Ohara, Y Yamagishi, M Kimura, H Motoda International Symposium on Methodologies for Intelligent Systems, 153-162, 2011 | 126 | 2011 |
