Hiroshi Motoda

Publication Activity (10 Years)

Years Active: 1983-2023
Publications (10 Years): 25

Top Venues

PRICAI

Soc. Netw. Anal. Min.

Intell. Data Anal.

Publications

Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Constructing outlier-free histograms with variable bin-width based on distance minimization. Intell. Data Anal. 27 (1) (2023)
Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition. Soc. Netw. Anal. Min. 12 (1) (2022)
Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Efficient computation of target-oriented link criticalness centrality in uncertain graphs. Intell. Data Anal. 25 (5) (2021)
Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. ASONAM (2021)
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment. Soc. Netw. Anal. Min. 11 (1) (2021)
Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. DS (2020)
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks. ASONAM (2020)
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. IEEE BigData (2020)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes. Int. J. Data Sci. Anal. 9 (2) (2020)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. DS (2019)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Critical Node Identification based on Articulation Point Detection for Uncertain Network. Int. J. Netw. Comput. 9 (2) (2019)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Efficient Identification of Critical Links Based on Reachability Under the Presence of Time Constraint. PRICAI (2) (2019)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity. ISMIS (2018)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity. PRICAI (1) (2018)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Critical Node Identification Based on Articulation Point Detection for Network with Uncertain Connectivity. CANDAR (2018)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Accurate and efficient detection of critical links in network to minimize information loss. J. Intell. Inf. Syst. 51 (2) (2018)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Which is more influential, "Who" or "When" for a user to rate in online review site? Intell. Data Anal. 22 (3) (2018)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network. ISMIS (2017)
Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Discovering Cooperative Structure Among Online Items for Attention Dynamics. ICDM Workshops (2017)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links. DSAA (2017)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability. PRICAI (2016)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Super mediator - A new centrality measure of node importance for information diffusion over social network. Inf. Sci. 329 (2016)
Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Speeding-up node influence computation for huge social networks. Int. J. Data Sci. Anal. 1 (1) (2016)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Accelerating Computation of Distance Based Centrality Measures for Spatial Networks. DS (2016)
Minsoo Choy, Daehoon Kim, Jae-Gil Lee, Heeyoung Kim, Hiroshi Motoda
Looking back on the current day: interruptibility prediction using daily behavioral features. UbiComp (2016)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network. PAKDD (1) (2015)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Efficient Learning of User Conformity on Review Score. SBP (2015)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Change Point Detection for Information Diffusion Tree. Discovery Science (2015)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Change point detection for burst analysis from an observed information diffusion sequence of tweets. J. Intell. Inf. Syst. 44 (2) (2015)
Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Combining activity-evaluation information with NMF for trust-link prediction in social media. IEEE BigData (2015)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor. SBP (2014)
Huan Liu, Jiawei Han, Hiroshi Motoda
Uncovering deception in social media. Soc. Netw. Anal. Min. 4 (1) (2014)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Resampling-Based Framework for Estimating Node Centrality of Large Social Network. Discovery Science (2014)
Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media. PRICAI (2014)
Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Efficient analysis of node influence based on SIR model over huge complex networks. DSAA (2014)
Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
Welcome from DSAA 2014 chairs. DSAA (2014)
Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
A Method to Divide Stream Data of Scores over Review Sites. PRICAI (2014)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes. ACML (2013)
Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Learning to predict opinion share and detect anti-majority opinionists in social networks. J. Intell. Inf. Syst. 41 (1) (2013)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Detecting changes in content and posting time distributions in social media. ASONAM (2013)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Identifying Super-Mediators of Information Diffusion in Social Networks. Discovery Science (2013)
Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda
Introduction: special issue of selected papers of ACML 2012. Mach. Learn. 92 (2-3) (2013)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Which Targets to Contact First to Maximize Influence over Social Network. SBP (2013)
Longbing Cao, Philip S. Yu, Hiroshi Motoda, Graham Williams
Special issue on behavior computing. Knowl. Inf. Syst. 37 (2) (2013)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Detecting changes in information diffusion patterns over social networks. ACM Trans. Intell. Syst. Technol. 4 (3) (2013)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models. SBP (2012)
Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Burst Detection in a Sequence of Tweets Based on Information Diffusion Model. Discovery Science (2012)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Efficient discovery of influential nodes for SIS models in social networks. Knowl. Inf. Syst. 30 (3) (2012)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks CoRR (2012)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Graph embedding on spheres and its application to visualization of information diffusion data. WWW (Companion Volume) (2012)
Shoko Kato, Akihiro Koide, Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. PKAW (2012)
Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Opinion Formation by Voter Model with Temporal Decay Dynamics. ECML/PKDD (2) (2012)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Detecting Changes in Opinion Value Distribution for Voter Model. SBP (2011)
Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, Hiroshi Motoda
Learning Diffusion Probability Based on Node Attributes in Social Networks. ISMIS (2011)
Akihiro Koide, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Estimating Diffusion Probability Changes for AsIC-SIS Model. ACML (2011)
Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Speeding Up Bipartite Graph Visualization Method. Australasian Conference on Artificial Intelligence (2011)
Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. Discovery Science (2011)
Kouzou Ohara, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Efficient Detection of Hot Span in Information Diffusion from Observation CoRR (2011)
Hiroshi Motoda
Learning Information Diffusion Models from Observation and Its Application to Behavior Analysis. SocInfo (2011)
Yuki Yamagishi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Learning Attribute-weighted Voter Model over Social Networks. ACML (2011)
Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Learning information diffusion model in a social network for predicting influence of nodes. Intell. Data Anal. 15 (4) (2011)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network. SBP (2010)
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiroshi Motoda
Extracting influential nodes on a social network for information diffusion. Data Min. Knowl. Discov. 20 (1) (2010)
Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda
Learning to Predict Opinion Share in Social Networks. AAAI (2010)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Generative Models of Information Diffusion with Asynchronous Timedelay. ACML (2010)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay. PRICAI (2010)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Selecting Information Diffusion Models over Social Networks for Behavioral Analysis. ECML/PKDD (3) (2010)
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
Preface. FSDM (2010)
Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara
Finding Relation between PageRank and Voter Model. PKAW (2010)
Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, Masahiro Kimura
Acquiring Expected Influence Curve from Single Diffusion Sequence. PKAW (2010)
Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
Editorial. Intell. Data Anal. 14 (4) (2010)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Discovery of Super-Mediators of Information Diffusion in Social Networks. Discovery Science (2010)
Huan Liu, Hiroshi Motoda, Rudy Setiono, Zheng Zhao
Feature Selection: An Ever Evolving Frontier in Data Mining. FSDM (2010)
Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis. ACML (2009)
Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Discovering Influential Nodes for SIS Models in Social Networks. Discovery Science (2009)
Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
Blocking links to minimize contamination spread in a social network. ACM Trans. Knowl. Discov. Data 3 (2) (2009)
Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
Efficient Estimation of Influence Functions for SIS Model on Social Networks. IJCAI (2009)
Tu Bao Ho, Zhi-Hua Zhou, Hiroshi Motoda
Preface. Int. J. Softw. Informatics 3 (1) (2009)
Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito, Hiroshi Motoda
Community analysis of influential nodes for information diffusion on a social network. IJCNN (2008)
Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14 (1) (2008)
Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
What Does an Information Diffusion Model Tell about Social Network Structure?. PKAW (2008)
Kouzou Ohara, Masahiro Hara, Kiyoto Takabayashi, Hiroshi Motoda, Takashi Washio
Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining. PKAW (2008)
Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model. PRICAI (2008)
Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Effective Visualization of Information Diffusion Process over Complex Networks. ECML/PKDD (2) (2008)
Masahiro Kimura, Kazumi Saito, Hiroshi Motoda
Minimizing the Spread of Contamination by Blocking Links in a Network. AAAI (2008)
Alexandre Termier, Marie-Christine Rousset, Michèle Sebag, Kouzou Ohara, Takashi Washio, Hiroshi Motoda
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm. IEEE Trans. Knowl. Data Eng. 20 (3) (2008)
Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda
A Classification Method Based on Subspace Clustering and Association Rules. New Gener. Comput. 25 (3) (2007)
Yang Sok Kim, Byeong Ho Kang, Paul Compton, Hiroshi Motoda
Search engine retrieval of changing information. WWW (2007)
Hiroshi Motoda
Pattern Discovery from Graph-Structured Data - A Data Mining Perspective. IEA/AIE (2007)
Fuminori Adachi, Takashi Washio, Hiroshi Motoda
Scientific Discovery of Dynamic Models Based on Scale-type Constraints. Inf. Media Technol. 2 (1) (2007)
Kenta Fukata, Takashi Washio, Hiroshi Motoda
A Method to Search ARX Model Orders and Its Application to Sales Dynamics Analysis. ICDM Workshops (2006)
Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio
Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction. PAKDD (2006)
Takashi Washio, Yasuo Shinnou, Katsutoshi Yada, Hiroshi Motoda, Takashi Okada
Analysis on a Relation Between Enterprise Profit and Financial State by Using Data Mining Techniques. JSAI (2006)
Toshiko Wakaki, Hiroyuki Itakura, Masaki Tamura, Hiroshi Motoda, Takashi Washio
A study on rough set-aided feature selection for automatic web-page classification. Web Intell. Agent Syst. 4 (4) (2006)
Kiyoto Takabayashi, Phu Chien Nguyen, Kouzou Ohara, Hiroshi Motoda, Takashi Washio
Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search. PKAW (2006)
Hiroshi Motoda
What Can We Do with Graph-Structured Data? - A Data Mining Perspective. Australian Conference on Artificial Intelligence (2006)
Takashi Washio, Koutarou Nakanishi, Hiroshi Motoda
Deriving Class Association Rules Based on Levelwise Subspace Clustering. PKDD (2005)
Takashi Washio, Fuminori Adachi, Hiroshi Motoda
Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics. IJCAI (2005)
Tetsuya Yoshida, Hiroshi Motoda
Performance evaluation of fusing two different knowledge sources in Ripple Down Rules method. AMT (2005)
Takashi Washio, Fuminori Adachi, Hiroshi Motoda
SCALETRACK: A System to Discover Dynamic Law Equations Containing Hidden States and Chaos. Discovery Science (2005)

Hiroshi Motoda.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hiroshi Motoda