Kouzou Ohara

Noboru Babaguchi, Kouzou Ohara, Kouichi Katsurada, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Learning information diffusion model in a social network for predicting influence of nodes

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2011, Intell. Data Anal..

Cl-GBI : A Novel Strategy to Extract Typical Patterns from Graph Data(Graph Data Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2004 .

A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2014, SBP.

Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2009, ACML.

Sample Reuse in the Covariance Matrix Adaptation Evolution Strategy Based on Importance Sampling

Youhei Akimoto, Kouzou Ohara, Shinichi Shirakawa, 2015, GECCO.

Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2003, Active Mining.

F-015 Extraction of Latent Preferences for Improving Serendipity in Recommender System

Kouzou Ohara, Shinichi Shirakawa, Suguru Maeda, 2013 .

Sample Reuse via Importance Sampling in Information Geometric Optimization pdf

Youhei Akimoto, Kouzou Ohara, Shinichi Shirakawa, 2018, ArXiv.

Cl-GBI: A Novel Strategy to Extract Typical Patterns from Graph Data (Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ and IEICE-SIGAI on Active Mining) -- (Session 4: Web Data Mining)

Hiroshi Motoda, Kouzou Ohara, Phu Chien Nguyen, 2004 .

Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2020, DS.

Non-monotonic inference system handling knowledge allowing classified exceptions

Noboru Babaguchi, Kouzou Ohara, Tadahiro Kitahashi, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2015, PAKDD.

Knowledge Management and Acquisition for Intelligent Systems: 16th Pacific Rim Knowledge Acquisition Workshop, PKAW 2019, Cuvu, Fiji, August 26–27, 2019, Proceedings

Kouzou Ohara, Quan Bai, 2019, PKAW.

Change Point Detection for Information Diffusion Tree

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2015, Discovery Science.

Accurate and efficient detection of critical links in network to minimize information loss

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2018, Journal of Intelligent Information Systems.

Which Targets to Contact First to Maximize Influence over Social Network

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2013, SBP.

Determination of General Concept in Learning Default Rules

Noboru Babaguchi, Kouzou Ohara, Tadahiro Kitahashi, 2000, PRICAI.

Opinion Formation by Voter Model with Temporal Decay Dynamics

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2012, ECML/PKDD.

Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2019, DS.

Efficient analysis of node influence based on SIR model over huge complex networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2014, 2014 International Conference on Data Science and Advanced Analytics (DSAA).

Learning to Predict Opinion Share in Social Networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2010, AAAI.

Constructing Decision Tree Based on Chunkingless Graph‐Based Induction

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2006 .

Super mediator - A new centrality measure of node importance for information diffusion over social network

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2016, Inf. Sci..

Constructive Inductive Learning Based on Meta-attributes

Noboru Babaguchi, Hiroshi Motoda, Kouzou Ohara, 2004, Discovery Science.

Efficient Learning of User Conformity on Review Score

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2015, SBP.

Efficient Detection of Hot Span in Information Diffusion from Observation pdf

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2011, ArXiv.

Learning Personal Preference From Viewer's Operations for Browsing and Its Application to Baseball Video Retrieval and Summarization

Noboru Babaguchi, Kouzou Ohara, Takehiro Ogura, 2007, IEEE Transactions on Multimedia.

Speeding-up node influence computation for huge social networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2015, International Journal of Data Science and Analytics.

An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2017, ISMIS.

Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2016, PRICAI.

Using a Hash-Based Method for Apriori-Based Graph Mining

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2004, PKDD.

Relational Algebraic Representation for Query Procedure in Advanced Logical DataBase Handling Incomplete Knowledge

Kouzou Ohara, Noboru Babaguchi, Tadahiro Kitahashi, 1995 .

Detecting Changes in Opinion Value Distribution for Voter Model

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2011, SBP.

Learning System for Default Rules Capable of Dynamically Determining Generality of Target Concept in a Class Hierarchy

Noboru Babaguchi, Kouzou Ohara, Tadahiro Kitahashi, 2002 .

Selecting Information Diffusion Models over Social Networks for Behavioral Analysis

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2010, ECML/PKDD.

Extracting Discriminative Patterns from Graph Structured Data Using Constrained Search

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2006, PKAW.

Combining activity-evaluation information with NMF for trust-link prediction in social media

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Finding Relation between PageRank and Voter Model

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2010, PKAW.

Learning to predict opinion share and detect anti-majority opinionists in social networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2013, Journal of Intelligent Information Systems.

Pruning Strategies Based on the Upper Bound of Information Gain for Discriminative Subgraph Mining

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2009, PKAW.

Constructing a Decision Tree for Graph-Structured Data and its Applications

Hiroshi Motoda, Kouzou Ohara, Tetsuya Yoshida, 2004, Fundam. Informaticae.

Extracting Cooperative Structure among Online Items from Share-Event Sequence

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2018 .

Which is more influential, "Who" or "When" for a user to rate in online review site?

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2018, Intell. Data Anal..

Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2010, PRICAI.

On Operations for Reconstructing the Complete/Incomplete Knowledge

Noboru Babaguchi, Kouzou Ohara, Kouichi Katsurada, 2000, European-Japanese Conference on Information Modelling and Knowledge Bases.

Graph embedding on spheres and its application to visualization of information diffusion data

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2012, WWW.

Effect of personalization on retrieval and summarization of sports video

Noboru Babaguchi, Kouzou Ohara, T. Ogura, 2003, Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint.

A Method to Divide Stream Data of Scores over Review Sites

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2014, PRICAI.

Learning Diffusion Probability Based on Node Attributes in Social Networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2011, ISMIS.

Learning Attribute-weighted Voter Model over Social Networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2011, ACML.

Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2004, JSAI Workshops.

Critical Link Identification Based on Bridge Detection for Network with Uncertain Connectivity

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2018, ISMIS.

Discovery of Super-Mediators of Information Diffusion in Social Networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2010, Discovery Science.

An Efficient Hypothesis Search Algorithm Based on Best-Bound Search

Noboru Babaguchi, Kouzou Ohara, Tadahiro Kitahashi, 2000, ILP Work-in-progress reports.

Converting Ordinary Rules into Default Rules Based on Contradiction of Knowledge Base

Noboru Babaguchi, Kouzou Ohara, Kouichi Katsurada, 2000, European-Japanese Conference on Information Modelling and Knowledge Bases.

Resampling-Based Framework for Estimating Node Centrality of Large Social Network

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2014, Discovery Science.

Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction

Takashi Washio, Hiroshi Motoda, Kouzou Ohara, 2006, PAKDD.

A Query Procedure for Allowing Exceptions in Advanced Logical Database

Noboru Babaguchi, Kouzou Ohara, Tadahiro Kitahashi, 1996, International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems.

Generative Models of Information Diffusion with Asynchronous Timedelay

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2010, ACML.

Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2012, SBP.

Critical Node Identification based on Articulation Point Detection for Uncertain Network

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2019, Int. J. Netw. Comput..

The Effect of Metaphoric Gestures on Schematic Understanding of Instruction Performed by a Pedagogical Conversational Agent

Kouzou Ohara, Dai Hasegawa, Shinichi Shirakawa, 2015, HCI.

Renewal of the Major Fields from New Generation Computing Vol. 37 (2019)

Masayuki Numao, Kouzou Ohara, Yutaka Matsuo, 2018, New Generation Computing.

Estimation of gestures for utterance text using conditional random fields

Kouzou Ohara, Dai Hasegawa, Shinichi Shirakawa, 2016 .

Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2013, International Journal of Data Science and Analytics.

Detecting changes in content and posting time distributions in social media

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

Identifying Super-Mediators of Information Diffusion in Social Networks

Masahiro Kimura, Kazumi Saito, Hiroshi Motoda, 2013, Discovery Science.

On Personalizing Video Portal System with Metadata

Noboru Babaguchi, Kouzou Ohara, Takehiro Ogura, 2003, KES.

General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment

Masahiro Kimura, Hiroshi Motoda, Takayasu Fushimi, 2021, Social Network Analysis and Mining.

Efficient computation of target-oriented link criticalness centrality in uncertain graphs

Masahiro Kimura, Hiroshi Motoda, Takayasu Fushimi, 2021, Intell. Data Anal..