Howard J. Hamilton

ORCID

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 28

Top Venues

Canadian Conference on AI

CoRR

DaWaK

Int. J. Comput. Games Technol.

Publications

Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
Trust-based Blockchain Mechanism for V2X Networks in a Smart Grid Environment. CCECE (2023)
Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
Early-stage Conflict Detection in HLF-based Delay-critical IoT Networks. CNS (2023)
Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
TABI: Trust-Based ABAC Mechanism for Edge-IoT Using Blockchain Technology. IEEE Access 11 (2023)
Richard Dosselmann, Howard J. Hamilton
Limiting sensitive values in an anonymized table while reducing information loss via p-proportion. Secur. Priv. 5 (3) (2022)
N. C. Ruckiya Sinorina, Howard J. Hamilton, Sandra Zilles
Efficient Removal of Weak Associations in Consensus Clustering. ICAART (3) (2022)
Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton
An Adaptive QoS and Trust-Based Lightweight Secure Routing Algorithm for WSNs. IEEE Internet Things J. 9 (23) (2022)
Anthony Beug, Howard J. Hamilton
Splitting Large Convolutional Neural Network Layers to Run Real-Time Applications on Mixed-Reality Hardware: Extended Abstract. VR Workshops (2022)
Abu Mohammad Hammad Ali, Howard J. Hamilton, Elizabeth Rayner, Boting Yang, Sandra Zilles
Aggregating Preferences Represented by Conditional Preference Networks. ADT (2021)
Ryan Laube, Howard J. Hamilton
Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study. IEEE BigData (2021)
Tasha Baller, Kaelen Bennett, Howard J. Hamilton
Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. Canadian Conference on AI (2021)
S. Mohammad Mirbagheri, Howard J. Hamilton
Mining high utility patterns in interval-based event sequences. Data Knowl. Eng. 135 (2021)
S. Mohammad Mirbagheri, Howard J. Hamilton
Similarity Matching of Temporal Event-Interval Sequences. Canadian Conference on AI (2020)
S. Mohammad Mirbagheri, Howard J. Hamilton
High-Utility Interval-Based Sequences. DaWaK (2020)
S. Mohammad Mirbagheri, Howard J. Hamilton
FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. DaWaK (2020)
Matthew T. Mann, Howard J. Hamilton
Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks. Canadian Conference on AI (2019)
S. Mohammad Mirbagheri, Howard J. Hamilton
High Utility Interval-Based Sequences. CoRR (2019)
S. Mohammad Mirbagheri, Howard J. Hamilton
FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences. CoRR (2019)
Richard Dosselmann, Mehdi Sadeqi, Howard J. Hamilton
A Tutorial on Computing t-Closeness. CoRR (2019)
Moslema Jahan, Howard J. Hamilton
A Knowledge Acquisition System for Price Change Rules. Canadian Conference on AI (2017)
Mondelle Simeon, Howard J. Hamilton
Real-Time Validation of Retail Gasoline Prices. DS (2017)
S. Mohammad Mirbagheri, Howard J. Hamilton
Time Prediction of the Next Refueling Event: A Case Study. Canadian Conference on AI (2017)
Ryan Marcotte, Howard J. Hamilton
Behavior Trees for Modelling Artificial Intelligence in Games: A Tutorial. Comput. Games J. 6 (3) (2017)
Mehdi Sadeqi, Howard J. Hamilton
Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs. IJCAI (2017)
Stacey Hala, Howard J. Hamilton, Paolo Domenici
Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm. Canadian Conference on AI (2016)
Mehdi Sadeqi, Howard J. Hamilton
Efficient Representation of Pattern Databases Using Acyclic Random Hypergraphs. ICAPS (2016)
Credell Simeon, Howard J. Hamilton, Robert J. Hilderman
Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. DSAA (2016)
Hassan Waqar Ahmad, Sandra Zilles, Howard J. Hamilton, Richard Dosselmann
Prediction of retail prices of products using local competitors. Int. J. Bus. Intell. Data Min. 11 (1) (2016)
Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann
Retail price time series imputation. Int. J. Bus. Intell. Data Min. 11 (1) (2016)
Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton, Mark Brigham
Discovery of Parameters for Animation of Midge Swarms. Discovery Science (2015)
Khantil Patel, Orland Hoeber, Howard J. Hamilton
Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams. Canadian Conference on AI (2015)
Johannes Moersch, Howard J. Hamilton
Variable-sized, circular bokeh depth of field effects. Graphics Interface (2014)
Daniel Schroeder, Howard J. Hamilton
Desirable Elements for a Particle System Interface. Int. J. Comput. Games Technol. 2014 (2014)
David Thue, Vadim Bulitko, Howard J. Hamilton
Implementation Cost and Efficiency for AI Experience Managers. Intelligent Narrative Technologies (2013)
Tina L. M. Derzaph, Howard J. Hamilton
Effects of Wind on Virtual Plants in Animation. Int. J. Comput. Games Technol. 2013 (2013)
Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles
Learning Models of Activities Involving Interacting Objects. IDA (2013)
Xin Wang, Camilo Rostoker, Howard J. Hamilton
A density-based spatial clustering for physical constraints. J. Intell. Inf. Syst. 38 (1) (2012)
Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton
Mining Interesting Correlated Contrast Sets. SGAI Conf. (2012)
Sean Targett, Victoria Verlysdonk, Howard J. Hamilton, Daryl H. Hepting
A Study of User Interface Modifications in World of Warcraft. Game Stud. 12 (2) (2012)
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT (2011)
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory (2011)
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier
A Bayesian Concept Learning Approach to Crowdsourcing. ITWP@IJCAI (2011)
Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles
Simultaneous Tracking and Activity Recognition. ICTAI (2011)
Kamran Karimi, Howard J. Hamilton
Generation and Interpretation of Temporal Decision Rules CoRR (2010)
Xin Wang, Wei Gu, Danielle Ziébelin, Howard J. Hamilton
An ontology-based framework for geospatial clustering. Int. J. Geogr. Inf. Sci. 24 (11) (2010)
Xing Li, Howard J. Hamilton, Kamran Karimi, Liqiang Geng
The Multi-Tree Cubing algorithm for computing iceberg cubes. J. Intell. Inf. Syst. 33 (2) (2009)
Mohd M. Anwar, Philip W. L. Fong, Xue-Dong Yang, Howard J. Hamilton
Visualizing Privacy Implications of Access Control Policies in Social Network Systems. DPM/SETOP (2009)
Kamran Karimi, Howard J. Hamilton
Using Dependence Diagrams to Summarize Decision Rule Sets. Canadian Conference on AI (2008)
Hong Yao, Howard J. Hamilton
Mining functional dependencies from data. Data Min. Knowl. Discov. 16 (2) (2008)
Liqiang Geng, Howard J. Hamilton, Larry Korba
Expectation Propagation in GenSpace Graphs for Summarization. DaWaK (2007)
Howard J. Hamilton
Interestingness in Data Mining. EGC (2007)
Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall
Efficient spatio-temporal data mining with GenSpace graphs. J. Appl. Log. 4 (2) (2006)
Liqiang Geng, Howard J. Hamilton
Interestingness measures for data mining: A survey. ACM Comput. Surv. 38 (3) (2006)
Shannon Blyth, Howard J. Hamilton
CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations. AIIDE (2006)
Hong Yao, Howard J. Hamilton
Mining itemset utilities from transaction databases. Data Knowl. Eng. 59 (3) (2006)
Guichong Li, Howard J. Hamilton
Searching for Pattern Rules. ICDM (2006)
Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng
The PDD Framework for Detecting Categories of Peculiar Data. ICDM (2006)
Xin Wang, Howard J. Hamilton
Clustering Spatial Data in The Presence of Obstacles. Int. J. Artif. Intell. Tools 14 (1-2) (2005)
Howard J. Hamilton, Kamran Karimi
The TIMERS II Algorithm for the Discovery of Causality. PAKDD (2005)
Xin Wang, Howard J. Hamilton
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets. Canadian Conference on AI (2005)
Xin Wang, Howard J. Hamilton
Towards an Ontology-Based Spatial Clustering Framework. Canadian Conference on AI (2005)
Howard J. Hamilton, Demyen Doug
A machine-discovery approach to the evaluation of hashing techniques. J. Exp. Theor. Artif. Intell. 17 (1-2) (2005)
Xin Wang, Camilo Rostoker, Howard J. Hamilton
Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators. PKDD (2004)
Xin Wang, Howard J. Hamilton
Clustering Spatial Data in the Presence of Obstacles. FLAIRS Conference (2004)
Guichong Li, Howard J. Hamilton
Basic Association Rules. SDM (2004)
Cory J. Butz, Hong Yao, Howard J. Hamilton
Towards Jointree Propagation with Conditional Probability Distributions. Rough Sets and Current Trends in Computing (2004)
Hong Yao, Howard J. Hamilton, Cory J. Butz
A Foundational Approach to Mining Itemset Utilities from Databases. SDM (2004)
Liqiang Geng, Howard J. Hamilton
Finding Interesting Summaries in GenSpace Graphs Efficiently. Canadian Conference on AI (2004)
Linhui Jiang, Howard J. Hamilton
Methods for Mining Frequent Sequential Patterns. Canadian Conference on AI (2003)
Kamran Karimi, Howard J. Hamilton
Discovering Temporal/Causal Rules: A Comparison of Methods. Canadian Conference on AI (2003)
Cory J. Butz, Hong Yao, Howard J. Hamilton
A Non-local Coarsening Result in Granular Probabilistic Networks. RSFDGrC (2003)
Brock Barber, Howard J. Hamilton
Extracting Share Frequent Itemsets with Infrequent Subsets. Data Min. Knowl. Discov. 7 (2) (2003)
Xin Wang, Howard J. Hamilton
DBRS: A Density-Based Spatial Clustering Method with Random Sampling. PAKDD (2003)
Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall
Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs. TIME (2003)
Kamran Karimi, Howard J. Hamilton
Distinguishing Causal and Acausal Temporal Relations. PAKDD (2003)
Robert J. Hilderman, Howard J. Hamilton
Measuring the interestingness of discovered knowledge: A principled approach. Intell. Data Anal. 7 (4) (2003)
Leah Findlater, Howard J. Hamilton
Iceberg-cube algorithms: An empirical evaluation on synthetic and real data. Intell. Data Anal. 7 (2) (2003)
Kamran Karimi, Howard J. Hamilton
RFCT: An Association-Based Causality Miner. Canadian Conference on AI (2002)
Xin Wang, Christine W. Chan, Howard J. Hamilton
Design of knowledge-based systems with the ontology-domain-system approach. SEKE (2002)
Hong Yao, Howard J. Hamilton, Cory J. Butz
FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. ICDM (2002)
Kamran Karimi, Howard J. Hamilton
Discovering Temporal Rules from Temporally Ordered Data. IDEAL (2002)
Y. Y. Yao, Howard J. Hamilton, Xuewei Wang
PagePrompter: An Intelligent Web Agent Created Using Data Mining Techniques. Rough Sets and Current Trends in Computing (2002)
Liqiang Geng, Howard J. Hamilton
ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets. ICDM (2002)
Howard J. Hamilton, Leah Findlater
Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining. FLAIRS Conference (2002)
Kamran Karimi, Howard J. Hamilton
TimeSleuth: A Tool for Discovering Causal and Temporal Rules. ICTAI (2002)
Brock Barber, Howard J. Hamilton
Parametric Algorithms for Mining Share Frequent Itemsets. J. Intell. Inf. Syst. 16 (3) (2001)
Howard J. Hamilton, Xuewei Wang, Y. Y. Yao
WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques. FLAIRS Conference (2001)
Robert J. Hilderman, Howard J. Hamilton
Evaluation of Interestingness Measures for Ranking Discovered Knowledge. PAKDD (2001)
Leah Findlater, Howard J. Hamilton
An Empirical Comparison of Methods for Iceberg-CUBE Construction. FLAIRS Conference (2001)
Howard J. Hamilton, Dee Jay Randall
Data Mining with Calendar Attributes. TSDM (2000)
Robert J. Hilderman, Howard J. Hamilton
Applying Objective Interestingness Measures in Data Mining Systems. PKDD (2000)
Bradley P. Kram, James A. Hall, Howard J. Hamilton
Support based measures applied to ice hockey scoring summaries. ICTAI (2000)
Yang Xiang, Xiaohua Hu, Nick Cercone, Howard J. Hamilton
Learning Pseudo-independent Models: Analytical and Experimental Results. Canadian Conference on AI (2000)
Robert J. Hilderman, Howard J. Hamilton
Principles for mining summaries using objective measures of interestingness. ICTAI (2000)
Brock Barber, Howard J. Hamilton
Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets. PKDD (2000)
Kamran Karimi, Howard J. Hamilton
Logical Decision Rules: Teaching C4.5 to Speak Prolog. IDEAL (2000)
Kamran Karimi, Julia Ann Johnson, Howard J. Hamilton
A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life. Rough Sets and Current Trends in Computing (2000)
Brock Barber, Howard J. Hamilton
Parametric Algorithms for Mining Share-Frequent Itemsets. ISMIS (2000)
Kamran Karimi, Howard J. Hamilton
Finding Temporal Relations: Causal Bayesian Networks vs. C4.5. ISMIS (2000)
Jianna Jian Zhang, Howard J. Hamilton, Nick Cercone
Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm. ISMIS (1999)
Robert J. Hilderman, Howard J. Hamilton, Nick Cercone
Data Mining in Large Databases Using Domain Generalization Graphs. J. Intell. Inf. Syst. 13 (3) (1999)

Howard J. Hamilton

Publication Activity (10 Years)

Top Topics

Top Venues