Using the IIPS Framework to Specify Machine-Discovery Problems. - Howard J. Hamilton; J. Michael Dyck (ICCI, 1992)

A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN. - David R. Fudger; Howard J. Hamilton (RSKD, 1993)

Belief Revision in a Discrete Temporal Probability-Logic. - Scott D. Goodwin; Howard J. Hamilton; Eric Neufeld; Abdul Sattar 001; André Trudel (TIME, 1994)

Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases. - Colin L. Carter; Howard J. Hamilton (ICTAI, 1995)

Using Rough Sets as Tools for Knowledge Discovery. - Ning Shan; Wojciech Ziarko; Howard J. Hamilton; Nick Cercone (KDD, 1995)

Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. - Robert J. Hilderman; Howard J. Hamilton (SRDS, 1995)

Estimating DBLEARN's Potential for Knowledge Discovery in Databases. - Howard J. Hamilton; David R. Fudger (Comput. Intell., 1995)

Attribute Selection Strategies fro Attribute-Oriented Generalization. - Brock Barber; Howard J. Hamilton (AI, 1996)

Attribute-oriented Induction Using Domain Generalization Graphs. - Howard J. Hamilton; Robert J. Hilderman; Nick Cercone (ICTAI, 1996)

Induction of Classification Rules from Imperfect Data. - Ning Shan; Howard J. Hamilton; Nick Cercone (ISMIS, 1996)

Discovering Classification Knowledge in Databases Using Rough Sets. - Ning Shan; Wojciech Ziarko; Howard J. Hamilton; Nick Cercone (KDD, 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)

Grg: Knowledge Discovery using Information Generalization, Information Reduction, and Rule Generation. - Ning Shan; Howard J. Hamilton; Nick Cercone (Int. J. Artif. Intell. Tools, 1996)

Machine Learning of Credible Classifications. - Howard J. Hamilton; Ning Shan; Wojciech Ziarko (Australian Joint Conference on Artificial Intelligence, 1997)

Inducing and Using Decision Rules in the GRG Knowledge Discovery System. - Ning Shan; Howard J. Hamilton; Nick Cercone (ECML, 1997)

Data Visualization in the DB-Discover System. - Robert J. Hilderman; Liangchun Li; Howard J. Hamilton (ICTAI, 1997)

A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization. - Brock Barber; Howard J. Hamilton (ISMIS, 1997)

Learning English Syllabification for Words. - Jian Zhang; Howard J. Hamilton (ISMIS, 1997)

Share Based Measures for Itemsets. - Colin L. Carter; Howard J. Hamilton; Nick Cercone (PKDD, 1997)

Parallel Knowledge Discovery Using Domain Generalization Graphs. - Robert J. Hilderman; Howard J. Hamilton; Robert J. Kowalchuk; Nick Cercone (PKDD, 1997)

A Note on Regeneration with Virtual Copies. - Robert J. Hilderman; Howard J. Hamilton (IEEE Trans. Software Eng., 1997)

Learning English Syllabification Rules. - Jian Zhang; Howard J. Hamilton (Canadian AI, 1998)

A Technique for Generalizing Temporal Durations in Relational Databases. - Dee Jay Randall; Howard J. Hamilton; Robert J. Hilderman (FLAIRS, 1998)

Mining Market Basket Data Using Share Measures and Characterized Itemsets. - Robert J. Hilderman; Colin L. Carter; Howard J. Hamilton; Nick Cercone (PAKDD, 1998)

Generalization Lattices. - Howard J. Hamilton; Robert J. Hilderman; Liangchun Li; Dee Jay Randall (PKDD, 1998)

Generalization for Calendar Attributes using Domain Generalization Graphs. - Dee Jay Randall; Howard J. Hamilton; Robert J. Hilderman (TIME, 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)

Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases. - Colin L. Carter; Howard J. Hamilton (IEEE Trans. Knowl. Data Eng., 1998)

Ranking the Interestingness of Summaries from Data Mining Systems. - Robert J. Hilderman; Howard J. Hamilton; Brock Barber (FLAIRS, 1999)

Heuristic Selection of Aggregated Temporal Data for Knowledge Discovery. - Howard J. Hamilton; Dee Jay Randall (IEA/AIE, 1999)

Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm. - Jianna Jian Zhang; Howard J. Hamilton; Nick Cercone (ISMIS, 1999)

Heuristic for Ranking the Interestigness of Discovered Knowledge. - Robert J. Hilderman; Howard J. Hamilton (PAKDD, 1999)

Heuristic Measures of Interestingness. - Robert J. Hilderman; Howard J. Hamilton (PKDD, 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)

Temporal Generalization with Domain Generalization Graphs. - Dee Jay Randall; Howard J. Hamilton; Robert J. Hilderman (Int. J. Pattern Recognit. Artif. Intell., 1999)

Data Mining in Large Databases Using Domain Generalization Graphs. - Robert J. Hilderman; Howard J. Hamilton; Nick Cercone (J. Intell. Inf. Syst., 1999)

Learning Pseudo-independent Models: Analytical and Experimental Results. - Yang Xiang; Xiaohua Hu 001; Nick Cercone; Howard J. Hamilton (AI, 2000)

Principles for mining summaries using objective measures of interestingness. - Robert J. Hilderman; Howard J. Hamilton (ICTAI, 2000)

Support based measures applied to ice hockey scoring summaries. - Bradley P. Kram; James A. Hall; Howard J. Hamilton (ICTAI, 2000)

Logical Decision Rules: Teaching C4.5 to Speak Prolog. - Kamran Karimi; Howard J. Hamilton (IDEAL, 2000)

Finding Temporal Relations: Causal Bayesian Networks vs. C4.5. - Kamran Karimi; Howard J. Hamilton (ISMIS, 2000)

Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets. - Brock Barber; Howard J. Hamilton (PKDD, 2000)

Applying Objective Interestingness Measures in Data Mining Systems. - Robert J. Hilderman; Howard J. Hamilton (PKDD, 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 (Rough Sets and Current Trends in Computing, 2000)

Data Mining with Calendar Attributes. - Howard J. Hamilton; Dee Jay Randall (TSDM, 2000)

An Empirical Comparison of Methods for Iceberg-CUBE Construction. - Leah Findlater; Howard J. Hamilton (FLAIRS, 2001)

WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques. - Howard J. Hamilton; Xuewei Wang; Y. Y. Yao (FLAIRS, 2001)

Evaluation of Interestingness Measures for Ranking Discovered Knowledge. - Robert J. Hilderman; Howard J. Hamilton (PAKDD, 2001)

Parametric Algorithms for Mining Share Frequent Itemsets. - Brock Barber; Howard J. Hamilton (J. Intell. Inf. Syst., 2001)

RFCT: An Association-Based Causality Miner. - Kamran Karimi; Howard J. Hamilton (AI, 2002)

Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining. - Howard J. Hamilton; Leah Findlater (FLAIRS, 2002)

ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets. - Liqiang Geng; Howard J. Hamilton (ICDM, 2002)

FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. - Hong Yao; Howard J. Hamilton; Cory J. Butz (ICDM, 2002)

TimeSleuth: A Tool for Discovering Causal and Temporal Rules. - Kamran Karimi; Howard J. Hamilton (ICTAI, 2002)

Discovering Temporal Rules from Temporally Ordered Data. - Kamran Karimi; Howard J. Hamilton (IDEAL, 2002)

PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques. - Y. Y. Yao; Howard J. Hamilton; Xuewei Wang (Rough Sets and Current Trends in Computing, 2002)

Design of knowledge-based systems with the ontology-domain-system approach. - Xin Wang 004; Christine W. Chan; Howard J. Hamilton (SEKE, 2002)

Methods for Mining Frequent Sequential Patterns. - Linhui Jiang; Howard J. Hamilton (AI, 2003)

Discovering Temporal/Causal Rules: A Comparison of Methods. - Kamran Karimi; Howard J. Hamilton (AI, 2003)

Distinguishing Causal and Acausal Temporal Relations. - Kamran Karimi; Howard J. Hamilton (PAKDD, 2003)

DBRS: A Density-Based Spatial Clustering Method with Random Sampling. - Xin Wang 004; Howard J. Hamilton (PAKDD, 2003)

A Non-local Coarsening Result in Granular Probabilistic Networks. - Cory J. Butz; Hong Yao; Howard J. Hamilton (RSFDGrC, 2003)

Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs. - Howard J. Hamilton; Liqiang Geng; Leah Findlater; Dee Jay Randall (TIME, 2003)

Extracting Share Frequent Itemsets with Infrequent Subsets. - Brock Barber; Howard J. Hamilton (Data Min. Knowl. Discov., 2003)

Iceberg-cube algorithms: An empirical evaluation on synthetic and real data. - Leah Findlater; Howard J. Hamilton (Intell. Data Anal., 2003)

Measuring the interestingness of discovered knowledge: A principled approach. - Robert J. Hilderman; Howard J. Hamilton (Intell. Data Anal., 2003)

Finding Interesting Summaries in GenSpace Graphs Efficiently. - Liqiang Geng; Howard J. Hamilton (Canadian AI, 2004)

Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators. - Xin Wang 004; Camilo Rostoker; Howard J. Hamilton (PKDD, 2004)

Towards Jointree Propagation with Conditional Probability Distributions. - Cory J. Butz; Hong Yao; Howard J. Hamilton (Rough Sets and Current Trends in Computing, 2004)

Basic Association Rules. - Guichong Li; Howard J. Hamilton (SDM, 2004)

A Foundational Approach to Mining Itemset Utilities from Databases. - Hong Yao; Howard J. Hamilton; Cory J. Butz (SDM, 2004)

Causal Discovery. - Hong Yao; Cory J. Butz; Howard J. Hamilton (The Data Mining and Knowledge Discovery Handbook, 2005)

A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets. - Xin Wang 004; Howard J. Hamilton (Canadian AI, 2005)

Towards an Ontology-Based Spatial Clustering Framework. - Xin Wang 004; Howard J. Hamilton (Canadian AI, 2005)

The TIMERS II Algorithm for the Discovery of Causality. - Howard J. Hamilton; Kamran Karimi (PAKDD, 2005)

Clustering Spatial Data in The Presence of Obstacles. - Xin Wang 004; Howard J. Hamilton (Int. J. Artif. Intell. Tools, 2005)

A machine-discovery approach to the evaluation of hashing techniques. - Howard J. Hamilton; Demyen Doug (J. Exp. Theor. Artif. Intell., 2005)

CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations. - Shannon Blyth; Howard J. Hamilton (AIIDE, 2006)

Searching for Pattern Rules. - Guichong Li; Howard J. Hamilton (ICDM, 2006)

The PDD Framework for Detecting Categories of Peculiar Data. - Mahesh Shrestha; Howard J. Hamilton; Yiyu Yao; Ken Konkel; Liqiang Geng (ICDM, 2006)

Interestingness measures for data mining: A survey. - Liqiang Geng; Howard J. Hamilton (ACM Comput. Surv., 2006)

Mining itemset utilities from transaction databases. - Hong Yao; Howard J. Hamilton (Data Knowl. Eng., 2006)

Efficient spatio-temporal data mining with GenSpace graphs. - Howard J. Hamilton; Liqiang Geng; Leah Findlater; Dee Jay Randall (J. Appl. Log., 2006)

Expectation Propagation in GenSpace Graphs for Summarization. - Liqiang Geng; Howard J. Hamilton; Larry Korba (DaWaK, 2007)

Interestingness in Data Mining. - Howard J. Hamilton (EGC, 2007)

Choosing the Right Lens: Finding What is Interesting in Data Mining. - Liqiang Geng; Howard J. Hamilton (Quality Measures in Data Mining, 2007)

Using Dependence Diagrams to Summarize Decision Rule Sets. - Kamran Karimi; Howard J. Hamilton (Canadian AI, 2008)

Mining functional dependencies from data. - Hong Yao; Howard J. Hamilton (Data Min. Knowl. Discov., 2008)

Visualizing Privacy Implications of Access Control Policies in Social Network Systems. - Mohd M. Anwar; Philip W. L. Fong; Xue-Dong Yang; Howard J. Hamilton (DPM/SETOP, 2009)

The Multi-Tree Cubing algorithm for computing iceberg cubes. - Xing Li; Howard J. Hamilton; Kamran Karimi; Liqiang Geng (J. Intell. Inf. Syst., 2009)

Generation and Interpretation of Temporal Decision Rules - Kamran Karimi; Howard J. Hamilton (CoRR, 2010)

An ontology-based framework for geospatial clustering. - Xin Wang 004; Wei Gu; Danielle Ziébelin; Howard J. Hamilton (Int. J. Geogr. Inf. Sci., 2010)

Causal Discovery. - Hong Yao; Cory J. Butz; Howard J. Hamilton (Data Mining and Knowledge Discovery Handbook, 2010)

A Bayesian Concept Learning Approach to Crowdsourcing. - Paolo Viappiani; Sandra Zilles; Howard J. Hamilton; Craig Boutilier (Interactive Decision Theory and Game Theory, 2011)

Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. - Paolo Viappiani; Sandra Zilles; Howard J. Hamilton; Craig Boutilier (ADT, 2011)

Simultaneous Tracking and Activity Recognition. - Cristina E. Manfredotti; David J. Fleet; Howard J. Hamilton; Sandra Zilles (ICTAI, 2011)

Mining Interesting Correlated Contrast Sets. - Mondelle Simeon; Robert J. Hilderman; Howard J. Hamilton (SGAI Conf., 2012)

A Study of User Interface Modifications in World of Warcraft. - Sean Targett; Victoria Verlysdonk; Howard J. Hamilton; Daryl H. Hepting (Game Stud., 2012)

A density-based spatial clustering for physical constraints. - Xin Wang 004; Camilo Rostoker; Howard J. Hamilton (J. Intell. Inf. Syst., 2012)

Implementation Cost and Efficiency for AI Experience Managers. - David Thue; Vadim Bulitko; Howard J. Hamilton (Intelligent Narrative Technologies, 2013)

Learning Models of Activities Involving Interacting Objects. - Cristina E. Manfredotti; Kim Steenstrup Pedersen; Howard J. Hamilton; Sandra Zilles (IDA, 2013)

Effects of Wind on Virtual Plants in Animation. - Tina L. M. Derzaph; Howard J. Hamilton (Int. J. Comput. Games Technol., 2013)

Variable-sized, circular bokeh depth of field effects. - Johannes Moersch; Howard J. Hamilton (Graphics Interface, 2014)

Desirable Elements for a Particle System Interface. - Daniel Schroeder; Howard J. Hamilton (Int. J. Comput. Games Technol., 2014)

Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams. - Khantil Patel; Orland Hoeber; Howard J. Hamilton (Canadian AI, 2015)

Discovery of Parameters for Animation of Midge Swarms. - Judith Bjorndahl; Ashley Herman; Richard Hamilton; Howard J. Hamilton; Mark Brigham (Discovery Science, 2015)

Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm. - Stacey Hala; Howard J. Hamilton; Paolo Domenici (Canadian AI, 2016)

Efficient Representation of Pattern Databases Using Acyclic Random Hypergraphs. - Mehdi Sadeqi; Howard J. Hamilton (ICAPS, 2016)

Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. - Credell Simeon; Howard J. Hamilton; Robert J. Hilderman (DSAA, 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)

Retail price time series imputation. - Obaid Ullah Malik; Robert J. Hilderman; Howard J. Hamilton; Richard Dosselmann (Int. J. Bus. Intell. Data Min., 2016)

A Knowledge Acquisition System for Price Change Rules. - Moslema Jahan; Howard J. Hamilton (Canadian AI, 2017)

Time Prediction of the Next Refueling Event: A Case Study. - S. Mohammad Mirbagheri; Howard J. Hamilton (Canadian AI, 2017)

Real-Time Validation of Retail Gasoline Prices. - Mondelle Simeon; Howard J. Hamilton (DS, 2017)

Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs. - Mehdi Sadeqi; Howard J. Hamilton (IJCAI, 2017)

Behavior Trees for Modelling Artificial Intelligence in Games: A Tutorial. - Ryan Marcotte; Howard J. Hamilton (Comput. Games J., 2017)

Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks. - Matthew T. Mann; Howard J. Hamilton (Canadian AI, 2019)

A Tutorial on Computing t-Closeness. - Richard Dosselmann; Mehdi Sadeqi; Howard J. Hamilton (CoRR, 2019)

Similarity Matching of Temporal Event-Interval Sequences. - S. Mohammad Mirbagheri; Howard J. Hamilton (Canadian AI, 2020)

High-Utility Interval-Based Sequences. - S. Mohammad Mirbagheri; Howard J. Hamilton (DaWaK, 2020)

FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. - S. Mohammad Mirbagheri; Howard J. Hamilton (DaWaK, 2020)

Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. - Tasha Baller; Kaelen Bennett; Howard J. Hamilton (Canadian AI, 2021)

Aggregating Preferences Represented by Conditional Preference Networks. - Abu Mohammad Hammad Ali; Howard J. Hamilton; Elizabeth Rayner; Boting Yang; Sandra Zilles (ADT, 2021)

Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study. - Ryan Laube; Howard J. Hamilton (IEEE BigData, 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 (ICVARS, 2021)

Mining high utility patterns in interval-based event sequences. - S. Mohammad Mirbagheri; Howard J. Hamilton (Data Knowl. Eng., 2021)

Efficient Removal of Weak Associations in Consensus Clustering. - N. C. Ruckiya Sinorina; Howard J. Hamilton; Sandra Zilles (ICAART (3), 2022)

Splitting Large Convolutional Neural Network Layers to Run Real-Time Applications on Mixed-Reality Hardware: Extended Abstract. - Anthony Beug; Howard J. Hamilton (VR Workshops, 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)

Limiting sensitive values in an anonymized table while reducing information loss via p-proportion. - Richard Dosselmann; Howard J. Hamilton (Secur. Priv., 2022)

Trust-based Blockchain Mechanism for V2X Networks in a Smart Grid Environment. - Aditya Pathak; Irfan S. Al-Anbagi; Howard J. Hamilton (CCECE, 2023)

Early-stage Conflict Detection in HLF-based Delay-critical IoT Networks. - Aditya Pathak; Irfan S. Al-Anbagi; Howard J. Hamilton (CNS, 2023)

TABI: Trust-Based ABAC Mechanism for Edge-IoT Using Blockchain Technology. - Aditya Pathak; Irfan S. Al-Anbagi; Howard J. Hamilton (IEEE Access, 2023)

Privacy-Preserving Authentication Mechanism for P2P Energy Trading in Smart Grid Networks. - Aditya Pathak; Irfan S. Al-Anbagi; Howard J. Hamilton (ICC, 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)

SATI: Sidechain-Based Access Control & Trust Mechanism for IoT Networks. - Aditya Pathak; Irfan S. Al-Anbagi; Howard J. Hamilton (IEEE Trans. Netw. Serv. Manag., 2024)