Követés
Hiroshi Motoda
Hiroshi Motoda
E-mail megerősítve itt: ar.sanken.osaka-u.ac.jp - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
78872008
Feature selection for knowledge discovery and data mining
H Liu, H Motoda
Springer science & business media, 2012
31582012
Computational methods of feature selection
H Liu, H Motoda
CRC press, 2007
17732007
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
15872000
Feature extraction, construction and selection: A data mining perspective
H Liu, H Motoda
Springer Science & Business Media, 1998
1520*1998
A flash-memory based file system.
A Kawaguchi, S Nishioka, H Motoda
USENIX, 155-164, 1995
7911995
State of the art of graph-based data mining
T Washio, H Motoda
Acm Sigkdd Explorations Newsletter 5 (1), 59-68, 2003
6802003
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
5842010
Complete mining of frequent patterns from graphs: Mining graph data
A Inokuchi, T Washio, H Motoda
Machine Learning 50, 321-354, 2003
4042003
Consistency based feature selection
M Dash, H Liu, H Motoda
Knowledge Discovery and Data Mining. Current Issues and New Applications …, 2000
3032000
On issues of instance selection
H Liu, H Motoda
Data Mining and Knowledge Discovery 6 (2), 115, 2002
2892002
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
2762009
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
2572010
Feature selection, extraction and construction
H Motoda, H Liu
Communication of IICM (Institute of Information and Computing Machinery …, 2002
2432002
A selective sampling approach to active feature selection
H Liu, H Motoda, L Yu
Artificial Intelligence 159 (1-2), 49-74, 2004
2182004
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
2032009
Minimizing the spread of contamination by blocking links in a network.
M Kimura, K Saito, H Motoda
Aaai 8, 1175-1180, 2008
1682008
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
1452010
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
1422011
Feature selection with selective sampling
H Liu, H Motoda, L Yu
Proceedings of the Nineteenth International Conference on Machine Learning …, 2002
1422002
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