Hiroshi Motoda
TitleCited byYear
Top 10 algorithms in data mining
X Wu, V Kumar, JR Quinlan, J Ghosh, Q Yang, H Motoda, GJ McLachlan, ...
Knowledge and information systems 14 (1), 1-37, 2008
46022008
Feature selection for knowledge discovery and data mining
H Liu, H Motoda
Springer Science & Business Media, 2012
23402012
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
13402000
Computational methods of feature selection
H Liu, H Motoda
CRC Press, 2007
11802007
Feature extraction, construction and selection: A data mining perspective
H Liu, H Motoda
Springer Science & Business Media, 1998
1101*1998
A flash-memory based file system.
A Kawaguchi, S Nishioka, H Motoda
USENIX, 155-164, 1995
6991995
State of the art of graph-based data mining
T Washio, H Motoda
Acm Sigkdd Explorations Newsletter 5 (1), 59-68, 2003
5732003
Complete mining of frequent patterns from graphs: Mining graph data
A Inokuchi, T Washio, H Motoda
Machine Learning 50 (3), 321-354, 2003
3652003
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
3272010
Consistency based feature selection
M Dash, H Liu, H Motoda
Pacific-Asia conference on knowledge discovery and data mining, 98-109, 2000
2512000
On issues of instance selection
H Liu, H Motoda
Data Mining and Knowledge Discovery 6 (2), 115, 2002
2172002
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, 2010
2052010
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
1702009
A selective sampling approach to active feature selection
H Liu, H Motoda, L Yu
Artificial Intelligence 159 (1-2), 49-74, 2004
1672004
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
1472009
Feature selection with selective sampling
H Liu, H Motoda, L Yu
ICML, 395-402, 2002
1292002
Knowledge acquisition for knowledge-based systems
BR Gaines, JH Boose
Academic Press, Inc., 1988
1191988
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
1132010
Graph-based induction as a unified learning framework
K Yoshida, H Motoda, N Indurkhya
Applied Intelligence 4 (3), 297-316, 1994
1121994
CLIP: Concept learning from inference patterns
K Yoshida, H Motoda
Artificial Intelligence 75 (1), 63-92, 1995
1111995
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Articles 1–20