Howard J. Hamilton

According to our database1, Howard J. Hamilton authored at least 121 papers between 1992 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

High-Utility Interval-Based Sequences.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Similarity Matching of Temporal Event-Interval Sequences.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
A Tutorial on Computing t-Closeness.
CoRR, 2019

Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks.
Proceedings of the Advances in Artificial Intelligence, 2019

2017
Behavior Trees for Modelling Artificial Intelligence in Games: A Tutorial.
Comput. Games J., 2017

Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Real-Time Validation of Retail Gasoline Prices.
Proceedings of the Discovery Science - 20th International Conference, 2017

Time Prediction of the Next Refueling Event: A Case Study.
Proceedings of the Advances in Artificial Intelligence, 2017

A Knowledge Acquisition System for Price Change Rules.
Proceedings of the Advances in Artificial Intelligence, 2017

2016
Retail price time series imputation.
Int. J. Bus. Intell. Data Min., 2016

Prediction of retail prices of products using local competitors.
Int. J. Bus. Intell. Data Min., 2016

Word Segmentation Algorithms with Lexical Resources for Hashtag Classification.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Efficient Representation of Pattern Databases Using Acyclic Random Hypergraphs.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Discovery of Parameters for Animation of Midge Swarms.
Proceedings of the Discovery Science - 18th International Conference, 2015

Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Desirable Elements for a Particle System Interface.
Int. J. Comput. Games Technol., 2014

Variable-sized, circular bokeh depth of field effects.
Proceedings of the Graphics Interface 2014, 2014

2013
Effects of Wind on Virtual Plants in Animation.
Int. J. Comput. Games Technol., 2013

Learning Models of Activities Involving Interacting Objects.
Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Implementation Cost and Efficiency for AI Experience Managers.
Proceedings of the Intelligent Narrative Technologies VI, 2013

2012
A density-based spatial clustering for physical constraints.
J. Intell. Inf. Syst., 2012

A Study of User Interface Modifications in World of Warcraft.
Game Stud., 2012

Mining Interesting Correlated Contrast Sets.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

2011
Simultaneous Tracking and Activity Recognition.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach.
Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

A Bayesian Concept Learning Approach to Crowdsourcing.
Proceedings of the Interactive Decision Theory and Game Theory, 2011

2010
Causal Discovery.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

An ontology-based framework for geospatial clustering.
Int. J. Geogr. Inf. Sci., 2010

Generation and Interpretation of Temporal Decision Rules
CoRR, 2010

2009
The Multi-Tree Cubing algorithm for computing iceberg cubes.
J. Intell. Inf. Syst., 2009

Visualizing Privacy Implications of Access Control Policies in Social Network Systems.
Proceedings of the Data Privacy Management and Autonomous Spontaneous Security, 2009

2008
Mining functional dependencies from data.
Data Min. Knowl. Discov., 2008

Using Dependence Diagrams to Summarize Decision Rule Sets.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
Choosing the Right Lens: Finding What is Interesting in Data Mining.
Proceedings of the Quality Measures in Data Mining, 2007

Interestingness in Data Mining.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Expectation Propagation in GenSpace Graphs for Summarization.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

2006
Efficient spatio-temporal data mining with GenSpace graphs.
J. Appl. Log., 2006

Mining itemset utilities from transaction databases.
Data Knowl. Eng., 2006

Interestingness measures for data mining: A survey.
ACM Comput. Surv., 2006

The PDD Framework for Detecting Categories of Peculiar Data.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Searching for Pattern Rules.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations.
Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, 2006

2005
A machine-discovery approach to the evaluation of hashing techniques.
J. Exp. Theor. Artif. Intell., 2005

Clustering Spatial Data in The Presence of Obstacles.
Int. J. Artif. Intell. Tools, 2005

The TIMERS II Algorithm for the Discovery of Causality.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Towards an Ontology-Based Spatial Clustering Framework.
Proceedings of the Advances in Artificial Intelligence, 2005

A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets.
Proceedings of the Advances in Artificial Intelligence, 2005

Causal Discovery.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
A Foundational Approach to Mining Itemset Utilities from Databases.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Basic Association Rules.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Towards Jointree Propagation with Conditional Probability Distributions.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Finding Interesting Summaries in GenSpace Graphs Efficiently.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
Measuring the interestingness of discovered knowledge: A principled approach.
Intell. Data Anal., 2003

Iceberg-cube algorithms: An empirical evaluation on synthetic and real data.
Intell. Data Anal., 2003

Extracting Share Frequent Itemsets with Infrequent Subsets.
Data Min. Knowl. Discov., 2003

Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs.
Proceedings of the 10th International Symposium on Temporal Representation and Reasoning / 4th International Conference on Temporal Logic (TIME-ICTL 2003), 2003

A Non-local Coarsening Result in Granular Probabilistic Networks.
Proceedings of the Rough Sets, 2003

DBRS: A Density-Based Spatial Clustering Method with Random Sampling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Distinguishing Causal and Acausal Temporal Relations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Discovering Temporal/Causal Rules: A Comparison of Methods.
Proceedings of the Advances in Artificial Intelligence, 2003

Methods for Mining Frequent Sequential Patterns.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
Design of knowledge-based systems with the ontology-domain-system approach.
Proceedings of the 14th international conference on Software engineering and knowledge engineering, 2002

PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Discovering Temporal Rules from Temporally Ordered Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

TimeSleuth: A Tool for Discovering Causal and Temporal Rules.
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

RFCT: An Association-Based Causality Miner.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Parametric Algorithms for Mining Share Frequent Itemsets.
J. Intell. Inf. Syst., 2001

Evaluation of Interestingness Measures for Ranking Discovered Knowledge.
Proceedings of the Knowledge Discovery and Data Mining, 2001

WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

An Empirical Comparison of Methods for Iceberg-CUBE Construction.
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

2000
Data Mining with Calendar Attributes.
Proceedings of the Temporal, 2000

A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

Applying Objective Interestingness Measures in Data Mining Systems.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Finding Temporal Relations: Causal Bayesian Networks vs. C4.5.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Logical Decision Rules: Teaching C4.5 to Speak Prolog.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Support based measures applied to ice hockey scoring summaries.
Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

Principles for mining summaries using objective measures of interestingness.
Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

Learning Pseudo-independent Models: Analytical and Experimental Results.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Data Mining in Large Databases Using Domain Generalization Graphs.
J. Intell. Inf. Syst., 1999

Temporal Generalization with Domain Generalization Graphs.
Int. J. Pattern Recognit. Artif. Intell., 1999

Determining the incremental worth of members of an aggregate set through difference-based induction.
Int. J. Intell. Syst., 1999

Heuristic Measures of Interestingness.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Heuristic for Ranking the Interestigness of Discovered Knowledge.
Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm.
Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

Heuristic Selection of Aggregated Temporal Data for Knowledge Discovery.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999

Ranking the Interestingness of Summaries from Data Mining Systems.
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

1998
Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases.
IEEE Trans. Knowl. Data Eng., 1998

Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets.
Int. J. Artif. Intell. Tools, 1998

Generalization for Calendar Attributes using Domain Generalization Graphs.
Proceedings of the 5th Workshop on Temporal Representation and Reasoning, 1998

Generalization Lattices.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

Mining Market Basket Data Using Share Measures and Characterized Itemsets.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

A Technique for Generalizing Temporal Durations in Relational Databases.
Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

Learning English Syllabification Rules.
Proceedings of the Advances in Artificial Intelligence, 1998

1997
A Note on Regeneration with Virtual Copies.
IEEE Trans. Software Eng., 1997

Parallel Knowledge Discovery Using Domain Generalization Graphs.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

Share Based Measures for Itemsets.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

Learning English Syllabification for Words.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization.
Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

Data Visualization in the DB-Discover System.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

Inducing and Using Decision Rules in the GRG Knowledge Discovery System.
Proceedings of the Machine Learning: ECML-97, 1997

Machine Learning of Credible Classifications.
Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996
Grg: Knowledge Discovery using Information Generalization, Information Reduction, and Rule Generation.
Int. J. Artif. Intell. Tools, 1996

It's About Time: An Introduction to the Special Issue on Temporal Representation and Reasoning.
Comput. Intell., 1996

Discovering Classification Knowledge in Databases Using Rough Sets.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Induction of Classification Rules from Imperfect Data.
Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Attribute-oriented Induction Using Domain Generalization Graphs.
Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996

Attribute Selection Strategies fro Attribute-Oriented Generalization.
Proceedings of the Advances in Artificial Intelligence, 1996

1995
Estimating DBLEARN's Potential for Knowledge Discovery in Databases.
Comput. Intell., 1995

Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm.
Proceedings of the 14th Symposium on Reliable Distributed Systems, 1995

Using Rough Sets as Tools for Knowledge Discovery.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases.
Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

1994
Belief Revision in a Discrete Temporal Probability-Logic.
Proceedings of the TIME-94 International Workshop on Temporal Reasoning, 1994

1993
A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN.
Proceedings of the Rough Sets, 1993

1992
Using the IIPS Framework to Specify Machine-Discovery Problems.
Proceedings of the Computing and Information, 1992


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