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
42532008
Feature selection for knowledge discovery and data mining
H Liu, H Motoda
Springer Science & Business Media, 2012
22532012
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
12982000
Computational methods of feature selection
H Liu, H Motoda
CRC Press, 2007
11322007
Feature extraction, construction and selection: A data mining perspective
H Liu, H Motoda
Springer Science & Business Media, 1998
1051*1998
A flash-memory based file system.
A Kawaguchi, S Nishioka, H Motoda
USENIX, 155-164, 1995
6921995
State of the art of graph-based data mining
T Washio, H Motoda
Acm Sigkdd Explorations Newsletter 5 (1), 59-68, 2003
5632003
Complete mining of frequent patterns from graphs: Mining graph data
A Inokuchi, T Washio, H Motoda
Machine Learning 50 (3), 321-354, 2003
3592003
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
2922010
Consistency based feature selection
M Dash, H Liu, H Motoda
Pacific-Asia conference on knowledge discovery and data mining, 98-109, 2000
2292000
On issues of instance selection
H Liu, H Motoda
Data Mining and Knowledge Discovery 6 (2), 115-130, 2002
2082002
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
2002010
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), 9, 2009
1602009
A selective sampling approach to active feature selection
H Liu, H Motoda, L Yu
Artificial Intelligence 159 (1-2), 49-74, 2004
1562004
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
1392009
Feature selection with selective sampling
H Liu, H Motoda, L Yu
ICML, 395-402, 2002
1282002
Graph-based induction as a unified learning framework
K Yoshida, H Motoda, N Indurkhya
Applied Intelligence 4 (3), 297-316, 1994
1141994
CLIP: Concept learning from inference patterns
K Yoshida, H Motoda
Artificial Intelligence 75 (1), 63-92, 1995
1111995
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
1082010
Knowledge acquisition for knowledge-based systems
BR Gaines, JH Boose
Academic Press, 1988
1061988
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Articles 1–20