Howard J. Hamilton

148 papers A* 8A 2B 23C 16Misc 13Journal 39Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Early Conflict Resolution Mechanism for Blockchain-Based Delay-Sensitive IoT Networks. IEEE Trans. Netw. Serv. Manag. Aditya Pathak, Irfan Al-Anbagi, Howard J. Hamilton
2025	—	`conf`	Early-Stage Conflict Resolution Mechanism for HLF-Based Delay-Critical IoT Network. ICC Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2024	J	`jnl`	Blockchain-Enhanced Zero Knowledge Proof-Based Privacy-Preserving Mutual Authentication for IoT Networks. IEEE Access Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2024	—	`conf`	Privacy-Preserving Authentication Mechanism for P2P Energy Trading in Smart Grid Networks. ICC Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2024	J	`jnl`	SATI: Sidechain-Based Access Control & Trust Mechanism for IoT Networks. IEEE Trans. Netw. Serv. Manag. Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2023	—	`conf`	Early-stage Conflict Detection in HLF-based Delay-critical IoT Networks. CNS Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2023	J	`jnl`	TABI: Trust-Based ABAC Mechanism for Edge-IoT Using Blockchain Technology. IEEE Access Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2023	—	`conf`	Trust-based Blockchain Mechanism for V2X Networks in a Smart Grid Environment. CCECE Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2022	J	`jnl`	An Adaptive QoS and Trust-Based Lightweight Secure Routing Algorithm for WSNs. IEEE Internet Things J. Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
2022	—	`conf`	Efficient Removal of Weak Associations in Consensus Clustering. ICAART (3) N. C. Ruckiya Sinorina, Howard J. Hamilton, Sandra Zilles
2022	J	`jnl`	Limiting sensitive values in an anonymized table while reducing information loss via p-proportion. Secur. Priv. Richard Dosselmann, Howard J. Hamilton
2022	—	`conf`	Splitting Large Convolutional Neural Network Layers to Run Real-Time Applications on Mixed-Reality Hardware: Extended Abstract. VR Workshops Anthony Beug, Howard J. Hamilton
2021	—	`conf`	Aggregating Preferences Represented by Conditional Preference Networks. ADT Abu Mohammad Hammad Ali, Howard J. Hamilton, Elizabeth Rayner, Boting Yang, Sandra Zilles
2021	J	`jnl`	Mining high utility patterns in interval-based event sequences. Data Knowl. Eng. S. Mohammad Mirbagheri, Howard J. Hamilton
2021	—	`conf`	Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. Canadian AI Tasha Baller, Kaelen Bennett, Howard J. Hamilton
2021	—	`conf`	Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study. IEEE BigData Ryan Laube, Howard J. Hamilton
2020	B	`conf`	FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. DaWaK S. Mohammad Mirbagheri, Howard J. Hamilton
2020	B	`conf`	High-Utility Interval-Based Sequences. DaWaK S. Mohammad Mirbagheri, Howard J. Hamilton
2020	—	`conf`	Similarity Matching of Temporal Event-Interval Sequences. Canadian AI S. Mohammad Mirbagheri, Howard J. Hamilton
2019	J	`jnl`	A Tutorial on Computing t-Closeness. CoRR Richard Dosselmann, Mehdi Sadeqi, Howard J. Hamilton
2019	—	`conf`	Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks. Canadian AI Matthew T. Mann, Howard J. Hamilton
2019	J	`jnl`	FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences. CoRR S. Mohammad Mirbagheri, Howard J. Hamilton
2019	J	`jnl`	High Utility Interval-Based Sequences. CoRR S. Mohammad Mirbagheri, Howard J. Hamilton
2017	—	`conf`	A Knowledge Acquisition System for Price Change Rules. Canadian AI Moslema Jahan, Howard J. Hamilton
2017	J	`jnl`	Behavior Trees for Modelling Artificial Intelligence in Games: A Tutorial. Comput. Games J. Ryan Marcotte, Howard J. Hamilton
2017	A*	`conf`	Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs. IJCAI Mehdi Sadeqi, Howard J. Hamilton
2017	B	`conf`	Real-Time Validation of Retail Gasoline Prices. DS Mondelle Simeon, Howard J. Hamilton
2017	—	`conf`	Time Prediction of the Next Refueling Event: A Case Study. Canadian AI S. Mohammad Mirbagheri, Howard J. Hamilton
2016	A*	`conf`	Efficient Representation of Pattern Databases Using Acyclic Random Hypergraphs. ICAPS Mehdi Sadeqi, Howard J. Hamilton
2016	J	`jnl`	Prediction of retail prices of products using local competitors. Int. J. Bus. Intell. Data Min. Hassan Waqar Ahmad, Sandra Zilles, Howard J. Hamilton, Richard Dosselmann
2016	J	`jnl`	Retail price time series imputation. Int. J. Bus. Intell. Data Min. Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann
2016	—	`conf`	Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm. Canadian AI Stacey Hala, Howard J. Hamilton, Paolo Domenici
2016	B	`conf`	Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. DSAA Credell Simeon, Howard J. Hamilton, Robert J. Hilderman
2015	B	`conf`	Discovery of Parameters for Animation of Midge Swarms. Discovery Science Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton, Mark Brigham
2015	—	`conf`	Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams. Canadian AI Khantil Patel, Orland Hoeber, Howard J. Hamilton
2014	J	`jnl`	Desirable Elements for a Particle System Interface. Int. J. Comput. Games Technol. Daniel Schroeder, Howard J. Hamilton
2014	B	`conf`	Variable-sized, circular bokeh depth of field effects. Graphics Interface Johannes Moersch, Howard J. Hamilton
2013	J	`jnl`	Effects of Wind on Virtual Plants in Animation. Int. J. Comput. Games Technol. Tina L. M. Derzaph, Howard J. Hamilton
2013	—	`conf`	Implementation Cost and Efficiency for AI Experience Managers. Intelligent Narrative Technologies David Thue, Vadim Bulitko, Howard J. Hamilton
2013	B	`conf`	Learning Models of Activities Involving Interacting Objects. IDA Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles
2012	J	`jnl`	A Study of User Interface Modifications in World of Warcraft. Game Stud. Sean Targett, Victoria Verlysdonk, Howard J. Hamilton, Daryl H. Hepting
2012	J	`jnl`	A density-based spatial clustering for physical constraints. J. Intell. Inf. Syst. Xin Wang, Camilo Rostoker, Howard J. Hamilton
2012	—	`conf`	Mining Interesting Correlated Contrast Sets. SGAI Conf. Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton
2011	—	`conf`	A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	—	`conf`	A Bayesian Concept Learning Approach to Crowdsourcing. ITWP@IJCAI Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	—	`conf`	Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
2011	B	`conf`	Simultaneous Tracking and Activity Recognition. ICTAI Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles
2010	J	`jnl`	An ontology-based framework for geospatial clustering. Int. J. Geogr. Inf. Sci. Xin Wang, Wei Gu, Danielle Ziébelin, Howard J. Hamilton
2010	—	`ch.`	Causal Discovery. Data Mining and Knowledge Discovery Handbook Hong Yao, Cory J. Butz, Howard J. Hamilton
2010	J	`jnl`	Generation and Interpretation of Temporal Decision Rules CoRR Kamran Karimi, Howard J. Hamilton
2009	J	`jnl`	The Multi-Tree Cubing algorithm for computing iceberg cubes. J. Intell. Inf. Syst. Xing Li, Howard J. Hamilton, Kamran Karimi, Liqiang Geng
2009	—	`conf`	Visualizing Privacy Implications of Access Control Policies in Social Network Systems. DPM/SETOP Mohd M. Anwar, Philip W. L. Fong, Xue-Dong Yang, Howard J. Hamilton
2008	J	`jnl`	Mining functional dependencies from data. Data Min. Knowl. Discov. Hong Yao, Howard J. Hamilton
2008	—	`conf`	Using Dependence Diagrams to Summarize Decision Rule Sets. Canadian AI Kamran Karimi, Howard J. Hamilton
2007	—	`ch.`	Choosing the Right Lens: Finding What is Interesting in Data Mining. Quality Measures in Data Mining Liqiang Geng, Howard J. Hamilton
2007	B	`conf`	Expectation Propagation in GenSpace Graphs for Summarization. DaWaK Liqiang Geng, Howard J. Hamilton, Larry Korba
2007	—	`conf`	Interestingness in Data Mining. EGC Howard J. Hamilton
2007	—	`book`	Quality Measures in Data Mining Fabrice Guillet, Howard J. Hamilton
2006	—	`conf`	CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations. AIIDE Shannon Blyth, Howard J. Hamilton
2006	J	`jnl`	Efficient spatio-temporal data mining with GenSpace graphs. J. Appl. Log. Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall
2006	J	`jnl`	Interestingness measures for data mining: A survey. ACM Comput. Surv. Liqiang Geng, Howard J. Hamilton
2006	J	`jnl`	Mining itemset utilities from transaction databases. Data Knowl. Eng. Hong Yao, Howard J. Hamilton
2006	A*	`conf`	Searching for Pattern Rules. ICDM Guichong Li, Howard J. Hamilton
2006	A*	`conf`	The PDD Framework for Detecting Categories of Peculiar Data. ICDM Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng
2005	—	`conf`	A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets. Canadian AI Xin Wang, Howard J. Hamilton
2005	J	`jnl`	A machine-discovery approach to the evaluation of hashing techniques. J. Exp. Theor. Artif. Intell. Howard J. Hamilton, Demyen Doug
2005	—	`ch.`	Causal Discovery. The Data Mining and Knowledge Discovery Handbook Hong Yao, Cory J. Butz, Howard J. Hamilton
2005	J	`jnl`	Clustering Spatial Data in The Presence of Obstacles. Int. J. Artif. Intell. Tools Xin Wang, Howard J. Hamilton
2005	B	`conf`	The TIMERS II Algorithm for the Discovery of Causality. PAKDD Howard J. Hamilton, Kamran Karimi
2005	—	`conf`	Towards an Ontology-Based Spatial Clustering Framework. Canadian AI Xin Wang, Howard J. Hamilton
2004	A	`conf`	A Foundational Approach to Mining Itemset Utilities from Databases. SDM Hong Yao, Howard J. Hamilton, Cory J. Butz
2004	A	`conf`	Basic Association Rules. SDM Guichong Li, Howard J. Hamilton
2004	Misc	`conf`	Clustering Spatial Data in the Presence of Obstacles. FLAIRS Xin Wang, Howard J. Hamilton
2004	—	`conf`	Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators. PKDD Xin Wang, Camilo Rostoker, Howard J. Hamilton
2004	—	`conf`	Finding Interesting Summaries in GenSpace Graphs Efficiently. Canadian AI Liqiang Geng, Howard J. Hamilton
2004	—	`conf`	Towards Jointree Propagation with Conditional Probability Distributions. Rough Sets and Current Trends in Computing Cory J. Butz, Hong Yao, Howard J. Hamilton
2003	—	`conf`	A Non-local Coarsening Result in Granular Probabilistic Networks. RSFDGrC Cory J. Butz, Hong Yao, Howard J. Hamilton
2003	B	`conf`	DBRS: A Density-Based Spatial Clustering Method with Random Sampling. PAKDD Xin Wang, Howard J. Hamilton
2003	Misc	`conf`	Discovering Temporal/Causal Rules: A Comparison of Methods. AI Kamran Karimi, Howard J. Hamilton
2003	B	`conf`	Distinguishing Causal and Acausal Temporal Relations. PAKDD Kamran Karimi, Howard J. Hamilton
2003	J	`jnl`	Extracting Share Frequent Itemsets with Infrequent Subsets. Data Min. Knowl. Discov. Brock Barber, Howard J. Hamilton
2003	J	`jnl`	Iceberg-cube algorithms: An empirical evaluation on synthetic and real data. Intell. Data Anal. Leah Findlater, Howard J. Hamilton
2003	J	`jnl`	Measuring the interestingness of discovered knowledge: A principled approach. Intell. Data Anal. Robert J. Hilderman, Howard J. Hamilton
2003	Misc	`conf`	Methods for Mining Frequent Sequential Patterns. AI Linhui Jiang, Howard J. Hamilton
2003	C	`conf`	Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs. TIME Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall
2002	C	`conf`	Design of knowledge-based systems with the ontology-domain-system approach. SEKE Xin Wang, Christine W. Chan, Howard J. Hamilton
2002	C	`conf`	Discovering Temporal Rules from Temporally Ordered Data. IDEAL Kamran Karimi, Howard J. Hamilton
2002	A*	`conf`	ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets. ICDM Liqiang Geng, Howard J. Hamilton
2002	A*	`conf`	FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. ICDM Hong Yao, Howard J. Hamilton, Cory J. Butz
2002	Misc	`conf`	Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining. FLAIRS Howard J. Hamilton, Leah Findlater
2002	—	`conf`	PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques. Rough Sets and Current Trends in Computing Y. Y. Yao, Howard J. Hamilton, Xuewei Wang
2002	Misc	`conf`	RFCT: An Association-Based Causality Miner. AI Kamran Karimi, Howard J. Hamilton
2002	B	`conf`	TimeSleuth: A Tool for Discovering Causal and Temporal Rules. ICTAI Kamran Karimi, Howard J. Hamilton
2001	Misc	`conf`	An Empirical Comparison of Methods for Iceberg-CUBE Construction. FLAIRS Leah Findlater, Howard J. Hamilton
2001	B	`conf`	Evaluation of Interestingness Measures for Ranking Discovered Knowledge. PAKDD Robert J. Hilderman, Howard J. Hamilton
2001	J	`jnl`	Parametric Algorithms for Mining Share Frequent Itemsets. J. Intell. Inf. Syst. Brock Barber, Howard J. Hamilton
2001	Misc	`conf`	WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques. FLAIRS Howard J. Hamilton, Xuewei Wang, Y. Y. Yao
2000	—	`conf`	A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life. Rough Sets and Current Trends in Computing Kamran Karimi, Julia Ann Johnson, Howard J. Hamilton
2000	Misc	`ed.`	Advances in Artificial Intelligence, 13th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2000, Montréal, Quebec, Canada, May 14-17, 2000, Proceedings AI Howard J. Hamilton
2000	—	`conf`	Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets. PKDD Brock Barber, Howard J. Hamilton
2000	—	`conf`	Applying Objective Interestingness Measures in Data Mining Systems. PKDD Robert J. Hilderman, Howard J. Hamilton
2000	—	`conf`	Data Mining with Calendar Attributes. TSDM Howard J. Hamilton, Dee Jay Randall
2000	C	`conf`	Finding Temporal Relations: Causal Bayesian Networks vs. C4.5. ISMIS Kamran Karimi, Howard J. Hamilton
2000	Misc	`conf`	Learning Pseudo-independent Models: Analytical and Experimental Results. AI Yang Xiang, Xiaohua Hu, Nick Cercone, Howard J. Hamilton
2000	C	`conf`	Logical Decision Rules: Teaching C4.5 to Speak Prolog. IDEAL Kamran Karimi, Howard J. Hamilton
2000	C	`conf`	Parametric Algorithms for Mining Share-Frequent Itemsets. ISMIS Brock Barber, Howard J. Hamilton
2000	B	`conf`	Principles for mining summaries using objective measures of interestingness. ICTAI Robert J. Hilderman, Howard J. Hamilton
2000	B	`conf`	Support based measures applied to ice hockey scoring summaries. ICTAI Bradley P. Kram, James A. Hall, Howard J. Hamilton
1999	J	`jnl`	Data Mining in Large Databases Using Domain Generalization Graphs. J. Intell. Inf. Syst. Robert J. Hilderman, Howard J. Hamilton, Nick Cercone
1999	J	`jnl`	Determining the incremental worth of members of an aggregate set through difference-based induction. Int. J. Intell. Syst. Avelino J. Gonzalez, Sylvia Daroszewski, Howard J. Hamilton
1999	—	`conf`	Heuristic Measures of Interestingness. PKDD Robert J. Hilderman, Howard J. Hamilton
1999	C	`conf`	Heuristic Selection of Aggregated Temporal Data for Knowledge Discovery. IEA/AIE Howard J. Hamilton, Dee Jay Randall
1999	B	`conf`	Heuristic for Ranking the Interestigness of Discovered Knowledge. PAKDD Robert J. Hilderman, Howard J. Hamilton
1999	C	`conf`	Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm. ISMIS Jianna Jian Zhang, Howard J. Hamilton, Nick Cercone
1999	Misc	`conf`	Ranking the Interestingness of Summaries from Data Mining Systems. FLAIRS Robert J. Hilderman, Howard J. Hamilton, Brock Barber
1999	J	`jnl`	Temporal Generalization with Domain Generalization Graphs. Int. J. Pattern Recognit. Artif. Intell. Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
1998	Misc	`conf`	A Technique for Generalizing Temporal Durations in Relational Databases. FLAIRS Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
1998	Misc	`conf`	Determining the Incremental Worth of Members of an Aggregate Set through Difference-Based Induction. FLAIRS Avelino J. Gonzalez, Sylvia Daroszewski, Howard J. Hamilton
1998	J	`jnl`	Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases. IEEE Trans. Knowl. Data Eng. Colin L. Carter, Howard J. Hamilton
1998	—	`conf`	Generalization Lattices. PKDD Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall
1998	C	`conf`	Generalization for Calendar Attributes using Domain Generalization Graphs. TIME Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman
1998	—	`conf`	Learning English Syllabification Rules. Canadian AI Jian Zhang, Howard J. Hamilton
1998	J	`jnl`	Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets. Int. J. Artif. Intell. Tools Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone
1998	B	`conf`	Mining Market Basket Data Using Share Measures and Characterized Itemsets. PAKDD Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone
1997	C	`conf`	A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization. ISMIS Brock Barber, Howard J. Hamilton
1997	J	`jnl`	A Note on Regeneration with Virtual Copies. IEEE Trans. Software Eng. Robert J. Hilderman, Howard J. Hamilton
1997	B	`conf`	Data Visualization in the DB-Discover System. ICTAI Robert J. Hilderman, Liangchun Li, Howard J. Hamilton
1997	—	`conf`	Inducing and Using Decision Rules in the GRG Knowledge Discovery System. ECML Ning Shan, Howard J. Hamilton, Nick Cercone
1997	C	`conf`	Learning English Syllabification for Words. ISMIS Jian Zhang, Howard J. Hamilton
1997	—	`conf`	Machine Learning of Credible Classifications. Australian Joint Conference on Artificial Intelligence Howard J. Hamilton, Ning Shan, Wojciech Ziarko
1997	—	`conf`	Parallel Knowledge Discovery Using Domain Generalization Graphs. PKDD Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone
1997	—	`conf`	Share Based Measures for Itemsets. PKDD Colin L. Carter, Howard J. Hamilton, Nick Cercone
1996	Misc	`conf`	Attribute Selection Strategies fro Attribute-Oriented Generalization. AI Brock Barber, Howard J. Hamilton
1996	B	`conf`	Attribute-oriented Induction Using Domain Generalization Graphs. ICTAI Howard J. Hamilton, Robert J. Hilderman, Nick Cercone
1996	A*	`conf`	Discovering Classification Knowledge in Databases Using Rough Sets. KDD Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone
1996	J	`jnl`	Grg: Knowledge Discovery using Information Generalization, Information Reduction, and Rule Generation. Int. J. Artif. Intell. Tools Ning Shan, Howard J. Hamilton, Nick Cercone
1996	C	`conf`	Induction of Classification Rules from Imperfect Data. ISMIS Ning Shan, Howard J. Hamilton, Nick Cercone
1996	J	`jnl`	It's About Time: An Introduction to the Special Issue on Temporal Representation and Reasoning. Comput. Intell. Scott D. Goodwin, Howard J. Hamilton
1996	C	`ed.`	Proceedings of the Third International Workshop on Temporal Representation and Reasoning, TIME-96, Key West, Florida, USA, May 19-20, 1996 TIME Luca Chittaro, Scott D. Goodwin, Howard J. Hamilton, Angelo Montanari
1995	J	`jnl`	Estimating DBLEARN's Potential for Knowledge Discovery in Databases. Comput. Intell. Howard J. Hamilton, David R. Fudger
1995	B	`conf`	GRG: knowledge discovery using information generalization, information reduction, and rule generation. ICTAI Ning Shan, Howard J. Hamilton, Nick Cercone
1995	B	`conf`	Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. SRDS Robert J. Hilderman, Howard J. Hamilton
1995	B	`conf`	Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases. ICTAI Colin L. Carter, Howard J. Hamilton
1995	A*	`conf`	Using Rough Sets as Tools for Knowledge Discovery. KDD Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone
1994	C	`conf`	Belief Revision in a Discrete Temporal Probability-Logic. TIME Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld, Abdul Sattar, André Trudel
1994	C	`ed.`	Proceedings of the TIME-94 International Workshop on Temporal Reasoning, Pensacola, Florida, USA, May 4, 1994 TIME Scott D. Goodwin, Howard J. Hamilton
1993	—	`conf`	A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN. RSKD David R. Fudger, Howard J. Hamilton
1992	C	`conf`	Using the IIPS Framework to Specify Machine-Discovery Problems. ICCI Howard J. Hamilton, J. Michael Dyck