Kazumi Saito

According to our database1, Kazumi Saito
  • authored at least 144 papers between 1993 and 2018.
  • has a "Dijkstra number"2 of five.

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Bibliography

2018
Pivot Generation Algorithm with a Complete Binary Tree for Efficient Exact Similarity Search.
IEICE Transactions, 2018

2017
Efficient Similarity Search with a Pivot-Based Complete Binary Tree.
IEICE Transactions, 2017

Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

An Accurate and Efficient Method to Detect Critical Links to Maintain Information Flow in Network.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Accelerating Greedy K-Medoids Clustering Algorithm with L_1 Distance by Pivot Generation.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Discovering Cooperative Structure Among Online Items for Attention Dynamics.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Maximizing Network Performance Based on Group Centrality by Creating Most Effective k-Links.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Super mediator - A new centrality measure of node importance for information diffusion over social network.
Inf. Sci., 2016

Speeding-up node influence computation for huge social networks.
I. J. Data Science and Analytics, 2016

Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights.
Proceedings of the Social Informatics - 8th International Conference, 2016

Pivot-based k-means Algorithm for Numerous-class Data Sets.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Modeling of Travel Behavior Processes from Social Media.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Accelerating Computation of Distance Based Centrality Measures for Spatial Networks.
Proceedings of the Discovery Science - 19th International Conference, 2016

Functional cluster extraction from large spatial networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Characterizing Similarity Structure of Spatial Networks Based on Degree Mixing Patterns.
Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016

2015
Change point detection for burst analysis from an observed information diffusion sequence of tweets.
J. Intell. Inf. Syst., 2015

Efficient Learning of User Conformity on Review Score.
Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Comparison of influence measures on structural changes focused on node functions.
Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015

Change Point Detection for Information Diffusion Tree.
Proceedings of the Discovery Science - 18th International Conference, 2015

Combining activity-evaluation information with NMF for trust-link prediction in social media.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015

2014
A New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

A Method to Divide Stream Data of Scores over Review Sites.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Similarity Search by Generating Pivots Based on Manhattan Distance.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

MDSR: An Eigenvector Approach to Core Analysis of Multiple Directed Graphs.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Estimating Network Structure from Anonymous Ego-centric Information.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2014

Efficient analysis of node influence based on SIR model over huge complex networks.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Resampling-Based Framework for Estimating Node Centrality of Large Social Network.
Proceedings of the Discovery Science - 17th International Conference, 2014

2013
Detecting changes in information diffusion patterns over social networks.
ACM TIST, 2013

Learning to predict opinion share and detect anti-majority opinionists in social networks.
J. Intell. Inf. Syst., 2013

Which Targets to Contact First to Maximize Influence over Social Network.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Identifying Super-Mediators of Information Diffusion in Social Networks.
Proceedings of the Discovery Science - 16th International Conference, 2013

Detecting changes in content and posting time distributions in social media.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Efficient discovery of influential nodes for SIS models in social networks.
Knowl. Inf. Syst., 2012

Learning Asynchronous-Time Information Diffusion Models and its Application to Behavioral Data Analysis over Social Networks
CoRR, 2012

Graph embedding on spheres and its application to visualization of information diffusion data.
Proceedings of the 21st World Wide Web Conference, 2012

Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Opinion Formation by Voter Model with Temporal Decay Dynamics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Network Analysis of Three Twitter Functions: Favorite, Follow and Mention.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Extracting Communities in Networks Based on Functional Properties of Nodes.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2012

Burst Detection in a Sequence of Tweets Based on Information Diffusion Model.
Proceedings of the Discovery Science - 15th International Conference, 2012

2011
Learning Attribute-weighted Voter Model over Social Networks.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Estimating Diffusion Probability Changes for AsIC-SIS Model.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Learning information diffusion model in a social network for predicting influence of nodes.
Intell. Data Anal., 2011

Efficient Detection of Hot Span in Information Diffusion from Observation
CoRR, 2011

Detecting Changes in Opinion Value Distribution for Voter Model.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2011

Fast approximate similarity search based on degree-reduced neighborhood graphs.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Learning Diffusion Probability Based on Node Attributes in Social Networks.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model.
Proceedings of the Discovery Science - 14th International Conference, 2011

Speeding Up Bipartite Graph Visualization Method.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Generative Models of Information Diffusion with Asynchronous Timedelay.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Extracting influential nodes on a social network for information diffusion.
Data Min. Knowl. Discov., 2010

Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network.
Proceedings of the Advances in Social Computing, 2010

Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Selecting Information Diffusion Models over Social Networks for Behavioral Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Acquiring Expected Influence Curve from Single Diffusion Sequence.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Finding Relation between PageRank and Voter Model.
Proceedings of the Knowledge Management and Acquisition for Smart Systems and Services, 2010

Fast similarity search on a large speech data set with neighborhood graph indexing.
Proceedings of the IEEE International Conference on Acoustics, 2010

Nominally Conditioned Linear Regression.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Discovery of Super-Mediators of Information Diffusion in Social Networks.
Proceedings of the Discovery Science - 13th International Conference, 2010

Learning to Predict Opinion Share in Social Networks.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
The k-Dense Method to Extract Communities from Complex Networks.
Proceedings of the Mining Complex Data, 2009

Blocking links to minimize contamination spread in a social network.
TKDD, 2009

Growth Analysis of Neighbor Network for Evaluation of Damage Progress.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Efficient Estimation of Influence Functions for SIS Model on Social Networks.
Proceedings of the IJCAI 2009, 2009

Discovering Influential Nodes for SIS Models in Social Networks.
Proceedings of the Discovery Science, 12th International Conference, 2009

Fast Similarity Search in Small-World Networks.
Proceedings of the Complex Networks, 2009

Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis.
Proceedings of the Advances in Machine Learning, 2009

2008
Recommendation Method for Improving Customer Lifetime Value.
IEEE Trans. Knowl. Data Eng., 2008

Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Extracting Communities from Complex Networks by the k-Dense Method.
IEICE Transactions, 2008

Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Effective Visualization of Information Diffusion Process over Complex Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

What Does an Information Diffusion Model Tell about Social Network Structure?.
Proceedings of the Knowledge Acquisition: Approaches, 2008

Prediction of Information Diffusion Probabilities for Independent Cascade Model.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Improving Search Efficiency of Incremental Variable Selection by Using Second-Order Optimal Criterion.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Community analysis of influential nodes for information diffusion on a social network.
Proceedings of the International Joint Conference on Neural Networks, 2008

Minimizing the Spread of Contamination by Blocking Links in a Network.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Sequence-based SOM: Visualizing transition of dynamic clusters.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
Bidirectional clustering of weights for neural networks with common weights.
Systems and Computers in Japan, 2007

Parametric Embedding for Class Visualization.
Neural Computation, 2007

A hybrid generative/discriminative approach to text classification with additional information.
Inf. Process. Manage., 2007

Modeling user behavior in recommender systems based on maximum entropy.
Proceedings of the 16th International Conference on World Wide Web, 2007

Prediction of Link Attachments by Estimating Probabilities of Information Propagation.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Pivot Learning for Efficient Similarity Search.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Interpretable Likelihood for Vector Representable Topic.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Selecting the Most Influential Nodes in Social Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

Semi-Supervised Learning for Multi-Component Data Classification.
Proceedings of the IJCAI 2007, 2007

Combining Burst Extraction Method and Sequence-Based SOM for Evaluation of Fracture Dynamics in Solid Oxide Fuel Cell.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Quantitative Revision of Scientific Models.
Proceedings of the Computational Discovery of Scientific Knowledge, 2007

Extracting Influential Nodes for Information Diffusion on a Social Network.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Parametric mixture model for multitopic text.
Systems and Computers in Japan, 2006

Tractable Models for Information Diffusion in Social Networks.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Finding Nominally Conditioned Multivariate Polynomials Using a Four-Layer Perceptron Having Shared Weights.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Improving Convergence Performance of PageRank Computation Based on Step-Length Calculation Approach.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Approximate Solutions for the Influence Maximization Problem in a Social Network.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Visualization Architecture Based on SOM for Two-Class Sequential Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Recommendation method for extending subscription periods.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Extracting Communities from Complex Networks by the k-dense Method.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Visual nonlinear discriminant analysis for classifier design.
Proceedings of the ESANN 2006, 2006

2005
Cross-entropy embedding of high-dimensional data using the neural gas model.
Neural Networks, 2005

Visualization of Anomalies Using Mixture Models.
J. Intelligent Manufacturing, 2005

Model Selection and Weight Sharing of Multi-layer Perceptrons.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Detecting Search Engine Spam from a Trackback Network in Blogspace.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Visualizing Dynamics of the Hot Topics Using Sequence-Based Self-organizing Maps.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

A Classifier Design Based on Combining Multiple Components by Maximum Entropy Principle.
Proceedings of the Information Retrieval Technology, 2005

A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design.
Proceedings of the Proceedings, 2005

2004
Modeling network growth with directional attachment and communities.
Systems and Computers in Japan, 2004

Modeling of growing networks with directional attachment and communities.
Neural Networks, 2004

Document Clustering at NTCIR-4 Workshop: Limiting Search Space of the K-Means Method Using Word Occurrence.
Proceedings of the Fourth NTCIR Workshop on Research in Information Access Technologies Information Retrieval, 2004

Parametric Embedding for Class Visualization.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Piecewise Multivariate Polynomials Using a Four-Layer Perceptron.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Extended Parametric Mixture Model for Robust Multi-labeled Text Categorization.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Visualisation of Anomaly Using Mixture Model.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003
Cross-Entropy Directed Embedding of Network Data.
Proceedings of the Machine Learning, 2003

Robust Induction of Process Models from Time-Series Data.
Proceedings of the Machine Learning, 2003

Modeling of growing networks with directional attachment and communities.
Proceedings of the ESANN 2003, 2003

Inducing Biological Models from Temporal Gene Expression Data.
Proceedings of the Discovery Science, 6th International Conference, 2003

Discovering Ecosystem Models from Time-Series Data.
Proceedings of the Discovery Science, 6th International Conference, 2003

2002
Extracting regression rules from neural networks.
Neural Networks, 2002

Discovering Empirical Laws of Web Dynamics.
Proceedings of the 2002 Symposium on Applications and the Internet (SAINT 2002), 28 January, 2002

Parametric Mixture Models for Multi-Labeled Text.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Single-shot detection of multiple categories of text using parametric mixture models.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Discovering Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables.
Proceedings of the Progress in Discovery Science, 2002

Structuring Neural Networks through Bidirectional Clustering of Weights.
Proceedings of the Discovery Science, 5th International Conference, 2002

Revising Qualitative Models of Gene Regulation.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Finding Polynomials to Fit Multivariate Data Having Numeric and Nominal Variables.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Computational Revision of Quantitative Scientific Models.
Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000
Second-Order Learning Algorithm with Squared Penalty Term.
Neural Computation, 2000

Discovery of Relevant Weights by Minimizing Cross-Validation Error.
Proceedings of the Knowledge Discovery and Data Mining, 2000

Discovery of Nominally Conditioned Polynomials Using Neural Networks, Vector Quantizers and Decision Trees.
Proceedings of the Discovery Science, 2000

Law discovery from financial data using neural networks.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

1999
Discovery of a Set of Nominally Conditioned Polynomials.
Proceedings of the Discovery Science, 1999

1998
Computational Characteristics of Law Discovery Using Neural Networks.
Proceedings of the Discovery Science, 1998

1997
Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks.
Neural Computation, 1997

Law Discovery using Neural Networks.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Second-order Learning Algorithm with Squared Penalty Term.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
A Connectionist Approach to Numeric Law Discorvery.
Proceedings of the Machine Intelligence 15, 1995

1994
Adaptive Concept Learning Algorithm.
Proceedings of the Technology and Foundations - Information Processing '94, Volume 1, Proceedings of the IFIP 13th World Computer Congress, Hamburg, Germany, 28 August, 1994

1993
A concept learning algorithm with adaptive search.
Proceedings of the Machine Intelligence 14, 1993


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