Howard J. Hamilton

According to our database, Howard J. Hamilton authored at least 136 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SATI: Sidechain-Based Access Control & Trust Mechanism for IoT Networks.

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton

IEEE Trans. Netw. Serv. Manag., October, 2024

Blockchain-Enhanced Zero Knowledge Proof-Based Privacy-Preserving Mutual Authentication for IoT Networks.

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton

IEEE Access, 2024

Privacy-Preserving Authentication Mechanism for P2P Energy Trading in Smart Grid Networks.

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton

Proceedings of the IEEE International Conference on Communications, 2024

2023

TABI: Trust-Based ABAC Mechanism for Edge-IoT Using Blockchain Technology.

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton

IEEE Access, 2023

Early-stage Conflict Detection in HLF-based Delay-critical IoT Networks.

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton

Proceedings of the IEEE Conference on Communications and Network Security, 2023

Trust-based Blockchain Mechanism for V2X Networks in a Smart Grid Environment.

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

2022

Limiting sensitive values in an anonymized table while reducing information loss via p-proportion.

Richard Dosselmann, Howard J. Hamilton

Secur. Priv., 2022

An Adaptive QoS and Trust-Based Lightweight Secure Routing Algorithm for WSNs.

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton

IEEE Internet Things J., 2022

Splitting Large Convolutional Neural Network Layers to Run Real-Time Applications on Mixed-Reality Hardware: Extended Abstract.

Anthony Beug, Howard J. Hamilton

Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Efficient Removal of Weak Associations in Consensus Clustering.

N. C. Ruckiya Sinorina, Howard J. Hamilton, Sandra Zilles

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021

Mining high utility patterns in interval-based event sequences.

S. Mohammad Mirbagheri, Howard J. Hamilton

Data Knowl. Eng., 2021

Augmented Reality Technology for People Living with Dementia and their Care Partners.

Matthew Allan Hamilton, Anthony Paul Beug, Howard John Hamilton, Wil James Norton

Proceedings of the ICVARS 2021: The 5th International Conference on Virtual and Augmented Reality Simulations, Melbourne, VIC, Australia, March 20, 2021

Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study.

Ryan Laube, Howard J. Hamilton

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Aggregating Preferences Represented by Conditional Preference Networks.

Abu Mohammad Hammad Ali, Howard J. Hamilton, Elizabeth Rayner, Boting Yang, Sandra Zilles

Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

Transfer Learning and Language Model Adaption for Low Resource Speech Recognition.

Tasha Baller, Kaelen Bennett, Howard J. Hamilton

Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020

FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences.

S. Mohammad Mirbagheri, Howard J. Hamilton

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

High-Utility Interval-Based Sequences.

S. Mohammad Mirbagheri, Howard J. Hamilton

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Similarity Matching of Temporal Event-Interval Sequences.

S. Mohammad Mirbagheri, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2020

2019

A Tutorial on Computing t-Closeness.

Richard Dosselmann, Mehdi Sadeqi, Howard J. Hamilton

CoRR, 2019

Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks.

Matthew T. Mann, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2019

2017

Behavior Trees for Modelling Artificial Intelligence in Games: A Tutorial.

Ryan Marcotte, Howard J. Hamilton

Comput. Games J., 2017

Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs.

Mehdi Sadeqi, Howard J. Hamilton

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Real-Time Validation of Retail Gasoline Prices.

Mondelle Simeon, Howard J. Hamilton

Proceedings of the Discovery Science - 20th International Conference, 2017

Time Prediction of the Next Refueling Event: A Case Study.

S. Mohammad Mirbagheri, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2017

A Knowledge Acquisition System for Price Change Rules.

Moslema Jahan, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2017

2016

Retail price time series imputation.

Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann

Int. J. Bus. Intell. Data Min., 2016

Prediction of retail prices of products using local competitors.

Hassan Waqar Ahmad, Sandra Zilles, Howard J. Hamilton, Richard Dosselmann

Int. J. Bus. Intell. Data Min., 2016

Word Segmentation Algorithms with Lexical Resources for Hashtag Classification.

Credell Simeon, Howard J. Hamilton, Robert J. Hilderman

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Efficient Representation of Pattern Databases Using Acyclic Random Hypergraphs.

Mehdi Sadeqi, Howard J. Hamilton

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.

Stacey Hala, Howard J. Hamilton, Paolo Domenici

Proceedings of the Advances in Artificial Intelligence, 2016

2015

Discovery of Parameters for Animation of Midge Swarms.

Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton, Mark Brigham

Proceedings of the Discovery Science - 18th International Conference, 2015

Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams.

Khantil Patel, Orland Hoeber, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Desirable Elements for a Particle System Interface.

Daniel Schroeder, Howard J. Hamilton

Int. J. Comput. Games Technol., 2014

Variable-sized, circular bokeh depth of field effects.

Johannes Moersch, Howard J. Hamilton

Proceedings of the Graphics Interface 2014, 2014

2013

Effects of Wind on Virtual Plants in Animation.

Tina L. M. Derzaph, Howard J. Hamilton

Int. J. Comput. Games Technol., 2013

Learning Models of Activities Involving Interacting Objects.

Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

Implementation Cost and Efficiency for AI Experience Managers.

David Thue, Vadim Bulitko, Howard J. Hamilton

Proceedings of the Intelligent Narrative Technologies VI, 2013

2012

A density-based spatial clustering for physical constraints.

Xin Wang, Camilo Rostoker, Howard J. Hamilton

J. Intell. Inf. Syst., 2012

A Study of User Interface Modifications in World of Warcraft.

Sean Targett, Victoria Verlysdonk, Howard J. Hamilton, Daryl H. Hepting

Game Stud., 2012

Mining Interesting Correlated Contrast Sets.

Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

2011

Simultaneous Tracking and Activity Recognition.

Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach.

Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier

Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

A Bayesian Concept Learning Approach to Crowdsourcing.

Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier

Proceedings of the Interactive Decision Theory and Game Theory, 2011

2010

Causal Discovery.

Hong Yao, Cory J. Butz, Howard J. Hamilton

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

An ontology-based framework for geospatial clustering.

Xin Wang, Wei Gu, Danielle Ziébelin, Howard J. Hamilton

Int. J. Geogr. Inf. Sci., 2010

Generation and Interpretation of Temporal Decision Rules

Kamran Karimi, Howard J. Hamilton

CoRR, 2010

2009

The Multi-Tree Cubing algorithm for computing iceberg cubes.

Xing Li, Howard J. Hamilton, Kamran Karimi, Liqiang Geng

J. Intell. Inf. Syst., 2009

Visualizing Privacy Implications of Access Control Policies in Social Network Systems.

Mohd M. Anwar, Philip W. L. Fong, Xue-Dong Yang, Howard J. Hamilton

Proceedings of the Data Privacy Management and Autonomous Spontaneous Security, 2009

2008

Mining functional dependencies from data.

Hong Yao, Howard J. Hamilton

Data Min. Knowl. Discov., 2008

Using Dependence Diagrams to Summarize Decision Rule Sets.

Kamran Karimi, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence , 2008

2007

Choosing the Right Lens: Finding What is Interesting in Data Mining.

Liqiang Geng, Howard J. Hamilton

Proceedings of the Quality Measures in Data Mining, 2007

Interestingness in Data Mining.

Howard J. Hamilton

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Expectation Propagation in GenSpace Graphs for Summarization.

Liqiang Geng, Howard J. Hamilton, Larry Korba

Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

2006

Efficient spatio-temporal data mining with GenSpace graphs.

Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall

J. Appl. Log., 2006

Mining itemset utilities from transaction databases.

Hong Yao, Howard J. Hamilton

Data Knowl. Eng., 2006

Interestingness measures for data mining: A survey.

Liqiang Geng, Howard J. Hamilton

ACM Comput. Surv., 2006

The PDD Framework for Detecting Categories of Peculiar Data.

Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Searching for Pattern Rules.

Guichong Li, Howard J. Hamilton

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations.

Shannon Blyth, Howard J. Hamilton

Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Conference, 2006

2005

A machine-discovery approach to the evaluation of hashing techniques.

Howard J. Hamilton, Demyen Doug

J. Exp. Theor. Artif. Intell., 2005

Clustering Spatial Data in The Presence of Obstacles.

Xin Wang, Howard J. Hamilton

Int. J. Artif. Intell. Tools, 2005

The TIMERS II Algorithm for the Discovery of Causality.

Howard J. Hamilton, Kamran Karimi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Towards an Ontology-Based Spatial Clustering Framework.

Xin Wang, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2005

A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets.

Xin Wang, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2005

Causal Discovery.

Hong Yao, Cory J. Butz, Howard J. Hamilton

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

2004

A Foundational Approach to Mining Itemset Utilities from Databases.

Hong Yao, Howard J. Hamilton, Cory J. Butz

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Basic Association Rules.

Guichong Li, Howard J. Hamilton

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Towards Jointree Propagation with Conditional Probability Distributions.

Cory J. Butz, Hong Yao, Howard J. Hamilton

Proceedings of the Rough Sets and Current Trends in Computing, 2004

Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators.

Xin Wang, Camilo Rostoker, Howard J. Hamilton

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Finding Interesting Summaries in GenSpace Graphs Efficiently.

Liqiang Geng, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2004

2003

Measuring the interestingness of discovered knowledge: A principled approach.

Robert J. Hilderman, Howard J. Hamilton

Intell. Data Anal., 2003

Iceberg-cube algorithms: An empirical evaluation on synthetic and real data.

Leah Findlater, Howard J. Hamilton

Intell. Data Anal., 2003

Extracting Share Frequent Itemsets with Infrequent Subsets.

Brock Barber, Howard J. Hamilton

Data Min. Knowl. Discov., 2003

Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs.

Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall

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.

Cory J. Butz, Hong Yao, Howard J. Hamilton

Proceedings of the Rough Sets, 2003

DBRS: A Density-Based Spatial Clustering Method with Random Sampling.

Xin Wang, Howard J. Hamilton

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Distinguishing Causal and Acausal Temporal Relations.

Kamran Karimi, Howard J. Hamilton

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Discovering Temporal/Causal Rules: A Comparison of Methods.

Kamran Karimi, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2003

Methods for Mining Frequent Sequential Patterns.

Linhui Jiang, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2003

2002

Design of knowledge-based systems with the ontology-domain-system approach.

Xin Wang, Christine W. Chan, Howard J. Hamilton

Proceedings of the 14th international conference on Software engineering and knowledge engineering, 2002

PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques.

Y. Y. Yao, Howard J. Hamilton, Xuewei Wang

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Discovering Temporal Rules from Temporally Ordered Data.

Kamran Karimi, Howard J. Hamilton

Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

TimeSleuth: A Tool for Discovering Causal and Temporal Rules.

Kamran Karimi, Howard J. Hamilton

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.

Hong Yao, Howard J. Hamilton, Cory J. Butz

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets.

Liqiang Geng, Howard J. Hamilton

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.

Howard J. Hamilton, Leah Findlater

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

RFCT: An Association-Based Causality Miner.

Kamran Karimi, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2002

2001

Parametric Algorithms for Mining Share Frequent Itemsets.

Brock Barber, Howard J. Hamilton

J. Intell. Inf. Syst., 2001

Evaluation of Interestingness Measures for Ranking Discovered Knowledge.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Knowledge Discovery and Data Mining, 2001

WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques.

Howard J. Hamilton, Xuewei Wang, Y. Y. Yao

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

An Empirical Comparison of Methods for Iceberg-CUBE Construction.

Leah Findlater, Howard J. Hamilton

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, 2001

2000

Data Mining with Calendar Attributes.

Howard J. Hamilton, Dee Jay Randall

Proceedings of the Temporal, 2000

A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life.

Kamran Karimi, Julia Ann Johnson, Howard J. Hamilton

Proceedings of the Rough Sets and Current Trends in Computing, 2000

Applying Objective Interestingness Measures in Data Mining Systems.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets.

Brock Barber, Howard J. Hamilton

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Finding Temporal Relations: Causal Bayesian Networks vs. C4.5.

Kamran Karimi, Howard J. Hamilton

Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Logical Decision Rules: Teaching C4.5 to Speak Prolog.

Kamran Karimi, Howard J. Hamilton

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

Support based measures applied to ice hockey scoring summaries.

Bradley P. Kram, James A. Hall, Howard J. Hamilton

Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

Principles for mining summaries using objective measures of interestingness.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

Learning Pseudo-independent Models: Analytical and Experimental Results.

Yang Xiang, Xiaohua Hu, Nick Cercone, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 2000

1999

Data Mining in Large Databases Using Domain Generalization Graphs.

Robert J. Hilderman, Howard J. Hamilton, Nick Cercone

J. Intell. Inf. Syst., 1999

Temporal Generalization with Domain Generalization Graphs.

Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman

Int. J. Pattern Recognit. Artif. Intell., 1999

Determining the incremental worth of members of an aggregate set through difference-based induction.

Avelino J. Gonzalez, Sylvia Daroszewski, Howard J. Hamilton

Int. J. Intell. Syst., 1999

Heuristic Measures of Interestingness.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1999

Heuristic for Ranking the Interestigness of Discovered Knowledge.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the Methodologies for Knowledge Discovery and Data Mining, 1999

Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm.

Jianna Jian Zhang, Howard J. Hamilton, Nick Cercone

Proceedings of the Foundations of Intelligent Systems, 11th International Symposium, 1999

Heuristic Selection of Aggregated Temporal Data for Knowledge Discovery.

Howard J. Hamilton, Dee Jay Randall

Proceedings of the Multiple Approaches to Intelligent Systems, 1999

Ranking the Interestingness of Summaries from Data Mining Systems.

Robert J. Hilderman, Howard J. Hamilton, Brock Barber

Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999

1998

Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases.

Colin L. Carter, Howard J. Hamilton

IEEE Trans. Knowl. Data Eng., 1998

Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets.

Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone

Int. J. Artif. Intell. Tools, 1998

Generalization for Calendar Attributes using Domain Generalization Graphs.

Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman

Proceedings of the 5th Workshop on Temporal Representation and Reasoning, 1998

Generalization Lattices.

Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1998

Mining Market Basket Data Using Share Measures and Characterized Itemsets.

Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone

Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

A Technique for Generalizing Temporal Durations in Relational Databases.

Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

Learning English Syllabification Rules.

Jian Zhang, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 1998

1997

A Note on Regeneration with Virtual Copies.

Robert J. Hilderman, Howard J. Hamilton

IEEE Trans. Software Eng., 1997

Parallel Knowledge Discovery Using Domain Generalization Graphs.

Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

Share Based Measures for Itemsets.

Colin L. Carter, Howard J. Hamilton, Nick Cercone

Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997

Learning English Syllabification for Words.

Jian Zhang, Howard J. Hamilton

Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization.

Brock Barber, Howard J. Hamilton

Proceedings of the Foundations of Intelligent Systems, 10th International Symposium, 1997

Data Visualization in the DB-Discover System.

Robert J. Hilderman, Liangchun Li, Howard J. Hamilton

Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

Inducing and Using Decision Rules in the GRG Knowledge Discovery System.

Ning Shan, Howard J. Hamilton, Nick Cercone

Proceedings of the Machine Learning: ECML-97, 1997

Machine Learning of Credible Classifications.

Howard J. Hamilton, Ning Shan, Wojciech Ziarko

Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996

Grg: Knowledge Discovery using Information Generalization, Information Reduction, and Rule Generation.

Ning Shan, Howard J. Hamilton, Nick Cercone

Int. J. Artif. Intell. Tools, 1996

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

Scott D. Goodwin, Howard J. Hamilton

Comput. Intell., 1996

Discovering Classification Knowledge in Databases Using Rough Sets.

Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone

Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Induction of Classification Rules from Imperfect Data.

Ning Shan, Howard J. Hamilton, Nick Cercone

Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Attribute-oriented Induction Using Domain Generalization Graphs.

Howard J. Hamilton, Robert J. Hilderman, Nick Cercone

Proceedings of the Eigth International Conference on Tools with Artificial Intelligence, 1996

Attribute Selection Strategies fro Attribute-Oriented Generalization.

Brock Barber, Howard J. Hamilton

Proceedings of the Advances in Artificial Intelligence, 1996

1995

Estimating DBLEARN's Potential for Knowledge Discovery in Databases.

Howard J. Hamilton, David R. Fudger

Comput. Intell., 1995

Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm.

Robert J. Hilderman, Howard J. Hamilton

Proceedings of the 14th Symposium on Reliable Distributed Systems, 1995

Using Rough Sets as Tools for Knowledge Discovery.

Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone

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.

Colin L. Carter, Howard J. Hamilton

Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, 1995

1994

Belief Revision in a Discrete Temporal Probability-Logic.

Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld, Abdul Sattar, André Trudel

Proceedings of the TIME-94 International Workshop on Temporal Reasoning, 1994

1993

A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN.

David R. Fudger, Howard J. Hamilton

Proceedings of the Rough Sets, 1993

1992

Using the IIPS Framework to Specify Machine-Discovery Problems.

Howard J. Hamilton, J. Michael Dyck

Proceedings of the Computing and Information, 1992