default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHoward J. Hamilton
Howard John Hamilton
Person information
- affiliation: University of Regina, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j34]Aditya Pathak
, Irfan S. Al-Anbagi, Howard J. Hamilton:
Blockchain-Enhanced Zero Knowledge Proof-Based Privacy-Preserving Mutual Authentication for IoT Networks. IEEE Access 12: 118618-118636 (2024)- [j33]Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton:
SATI: Sidechain-Based Access Control & Trust Mechanism for IoT Networks. IEEE Trans. Netw. Serv. Manag. 21(5): 5888-5903 (2024) - [c102]Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton:
Privacy-Preserving Authentication Mechanism for P2P Energy Trading in Smart Grid Networks. ICC 2024: 3085-3090 - 2023
- [j32]Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton:
TABI: Trust-Based ABAC Mechanism for Edge-IoT Using Blockchain Technology. IEEE Access 11: 36379-36398 (2023) - [c101]Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton:
Trust-based Blockchain Mechanism for V2X Networks in a Smart Grid Environment. CCECE 2023: 496-501 - [c100]Aditya Pathak, Irfan S. Al-Anbagi, Howard J. Hamilton:
Early-stage Conflict Detection in HLF-based Delay-critical IoT Networks. CNS 2023: 1-6 - 2022
- [j31]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): 23826-23840 (2022) - [j30]Richard Dosselmann, Howard J. Hamilton:
Limiting sensitive values in an anonymized table while reducing information loss via p-proportion. Secur. Priv. 5(3) (2022) - [c99]N. C. Ruckiya Sinorina, Howard J. Hamilton, Sandra Zilles:
Efficient Removal of Weak Associations in Consensus Clustering. ICAART (3) 2022: 326-335 - [c98]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: 700-701 - 2021
- [j29]S. Mohammad Mirbagheri, Howard J. Hamilton:
Mining high utility patterns in interval-based event sequences. Data Knowl. Eng. 135: 101924 (2021) - [c97]Tasha Baller, Kaelen Bennett, Howard J. Hamilton:
Transfer Learning and Language Model Adaption for Low Resource Speech Recognition. Canadian AI 2021 - [c96]Abu Mohammad Hammad Ali, Howard J. Hamilton, Elizabeth Rayner, Boting Yang, Sandra Zilles:
Aggregating Preferences Represented by Conditional Preference Networks. ADT 2021: 3-18 - [c95]Ryan Laube, Howard J. Hamilton:
Wildfire Occurrence Prediction Using Time Series Classification: A Comparative Study. IEEE BigData 2021: 4178-4182 - [c94]Matthew Allan Hamilton, Anthony Paul Beug, Howard John Hamilton, Wil James Norton:
Augmented Reality Technology for People Living with Dementia and their Care Partners. ICVARS 2021: 21-30 - 2020
- [c93]S. Mohammad Mirbagheri, Howard J. Hamilton:
Similarity Matching of Temporal Event-Interval Sequences. Canadian AI 2020: 420-425 - [c92]S. Mohammad Mirbagheri, Howard J. Hamilton:
High-Utility Interval-Based Sequences. DaWaK 2020: 107-121 - [c91]S. Mohammad Mirbagheri, Howard J. Hamilton:
FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences. DaWaK 2020: 301-315
2010 – 2019
- 2019
- [c90]Matthew T. Mann, Howard J. Hamilton:
Automatic Generation of Video Game Character Images Using Augmented Structure-and-Style Networks. Canadian AI 2019: 387-393 - [i4]Richard Dosselmann, Mehdi Sadeqi, Howard J. Hamilton:
A Tutorial on Computing t-Closeness. CoRR abs/1911.11212 (2019) - [i3]S. Mohammad Mirbagheri, Howard J. Hamilton:
FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences. CoRR abs/1912.09445 (2019) - [i2]S. Mohammad Mirbagheri, Howard J. Hamilton:
High Utility Interval-Based Sequences. CoRR abs/1912.11165 (2019) - 2017
- [j28]Ryan Marcotte, Howard J. Hamilton:
Behavior Trees for Modelling Artificial Intelligence in Games: A Tutorial. Comput. Games J. 6(3): 171-184 (2017) - [c89]S. Mohammad Mirbagheri, Howard J. Hamilton:
Time Prediction of the Next Refueling Event: A Case Study. Canadian AI 2017: 109-114 - [c88]Moslema Jahan, Howard J. Hamilton:
A Knowledge Acquisition System for Price Change Rules. Canadian AI 2017: 215-226 - [c87]Mondelle Simeon, Howard J. Hamilton:
Real-Time Validation of Retail Gasoline Prices. DS 2017: 33-47 - [c86]Mehdi Sadeqi, Howard J. Hamilton:
Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs. IJCAI 2017: 4376-4383 - 2016
- [j27]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): 19-30 (2016) - [j26]Obaid Ullah Malik, Robert J. Hilderman, Howard J. Hamilton, Richard Dosselmann:
Retail price time series imputation. Int. J. Bus. Intell. Data Min. 11(1): 49-62 (2016) - [c85]Stacey Hala, Howard J. Hamilton, Paolo Domenici:
Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm. Canadian AI 2016: 40-45 - [c84]Mehdi Sadeqi, Howard J. Hamilton:
Efficient Representation of Pattern Databases Using Acyclic Random Hypergraphs. ICAPS 2016: 258-266 - [c83]Credell Simeon, Howard J. Hamilton, Robert J. Hilderman:
Word Segmentation Algorithms with Lexical Resources for Hashtag Classification. DSAA 2016: 743-751 - 2015
- [c82]Khantil Patel, Orland Hoeber, Howard J. Hamilton:
Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams. Canadian AI 2015: 196-203 - [c81]Judith Bjorndahl, Ashley Herman, Richard Hamilton, Howard J. Hamilton, Mark Brigham:
Discovery of Parameters for Animation of Midge Swarms. Discovery Science 2015: 17-24 - 2014
- [j25]Daniel Schroeder, Howard J. Hamilton:
Desirable Elements for a Particle System Interface. Int. J. Comput. Games Technol. 2014: 623809:1-623809:12 (2014) - [c80]Johannes Moersch, Howard J. Hamilton:
Variable-sized, circular bokeh depth of field effects. Graphics Interface 2014: 103-107 - 2013
- [j24]Tina L. M. Derzaph, Howard J. Hamilton:
Effects of Wind on Virtual Plants in Animation. Int. J. Comput. Games Technol. 2013: 674848:1-674848:11 (2013) - [c79]David Thue, Vadim Bulitko, Howard J. Hamilton:
Implementation Cost and Efficiency for AI Experience Managers. Intelligent Narrative Technologies 2013 - [c78]Cristina E. Manfredotti, Kim Steenstrup Pedersen, Howard J. Hamilton, Sandra Zilles:
Learning Models of Activities Involving Interacting Objects. IDA 2013: 285-297 - 2012
- [j23]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) - [j22]Xin Wang, Camilo Rostoker, Howard J. Hamilton:
A density-based spatial clustering for physical constraints. J. Intell. Inf. Syst. 38(1): 269-297 (2012) - [c77]Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton:
Mining Interesting Correlated Contrast Sets. SGAI Conf. 2012: 49-62 - 2011
- [c76]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory 2011 - [c75]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT 2011: 277-291 - [c74]Cristina E. Manfredotti, David J. Fleet, Howard J. Hamilton, Sandra Zilles:
Simultaneous Tracking and Activity Recognition. ICTAI 2011: 189-196 - [c73]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
A Bayesian Concept Learning Approach to Crowdsourcing. ITWP@IJCAI 2011 - 2010
- [j21]Xin Wang, Wei Gu, Danielle Ziébelin, Howard J. Hamilton:
An ontology-based framework for geospatial clustering. Int. J. Geogr. Inf. Sci. 24(11): 1601-1630 (2010) - [p3]Hong Yao, Cory J. Butz, Howard J. Hamilton:
Causal Discovery. Data Mining and Knowledge Discovery Handbook 2010: 949-958 - [i1]Kamran Karimi, Howard J. Hamilton:
Generation and Interpretation of Temporal Decision Rules. CoRR abs/1004.3334 (2010)
2000 – 2009
- 2009
- [j20]Xing Li, Howard J. Hamilton, Kamran Karimi, Liqiang Geng:
The Multi-Tree Cubing algorithm for computing iceberg cubes. J. Intell. Inf. Syst. 33(2): 179-208 (2009) - [c72]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: 106-120 - 2008
- [j19]Hong Yao, Howard J. Hamilton:
Mining functional dependencies from data. Data Min. Knowl. Discov. 16(2): 197-219 (2008) - [c71]Kamran Karimi, Howard J. Hamilton:
Using Dependence Diagrams to Summarize Decision Rule Sets. Canadian AI 2008: 163-172 - 2007
- [c70]Liqiang Geng, Howard J. Hamilton, Larry Korba:
Expectation Propagation in GenSpace Graphs for Summarization. DaWaK 2007: 449-458 - [c69]Howard J. Hamilton:
Interestingness in Data Mining. EGC 2007: 3 - [p2]Liqiang Geng, Howard J. Hamilton:
Choosing the Right Lens: Finding What is Interesting in Data Mining. Quality Measures in Data Mining 2007: 3-24 - [e4]Fabrice Guillet, Howard J. Hamilton:
Quality Measures in Data Mining. Studies in Computational Intelligence 43, Springer 2007, ISBN 978-3-540-44911-9 [contents] - 2006
- [j18]Liqiang Geng, Howard J. Hamilton:
Interestingness measures for data mining: A survey. ACM Comput. Surv. 38(3): 9 (2006) - [j17]Hong Yao, Howard J. Hamilton:
Mining itemset utilities from transaction databases. Data Knowl. Eng. 59(3): 603-626 (2006) - [j16]Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall:
Efficient spatio-temporal data mining with GenSpace graphs. J. Appl. Log. 4(2): 192-214 (2006) - [c68]Shannon Blyth, Howard J. Hamilton:
CrowdMixer: Multiple Agent Types in Situation-Based Crowd Simulations. AIIDE 2006: 15-20 - [c67]Mahesh Shrestha, Howard J. Hamilton, Yiyu Yao, Ken Konkel, Liqiang Geng:
The PDD Framework for Detecting Categories of Peculiar Data. ICDM 2006: 562-571 - [c66]Guichong Li, Howard J. Hamilton:
Searching for Pattern Rules. ICDM 2006: 933-937 - 2005
- [j15]Xin Wang, Howard J. Hamilton:
Clustering Spatial Data in The Presence of Obstacles. Int. J. Artif. Intell. Tools 14(1-2): 177-198 (2005) - [j14]Howard J. Hamilton, Demyen Doug:
A machine-discovery approach to the evaluation of hashing techniques. J. Exp. Theor. Artif. Intell. 17(1-2): 45-62 (2005) - [c65]Xin Wang, Howard J. Hamilton:
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets. Canadian AI 2005: 120-132 - [c64]Xin Wang, Howard J. Hamilton:
Towards an Ontology-Based Spatial Clustering Framework. Canadian AI 2005: 205-216 - [c63]Howard J. Hamilton, Kamran Karimi:
The TIMERS II Algorithm for the Discovery of Causality. PAKDD 2005: 744-750 - [p1]Hong Yao, Cory J. Butz, Howard J. Hamilton:
Causal Discovery. The Data Mining and Knowledge Discovery Handbook 2005: 945-955 - 2004
- [c62]Liqiang Geng, Howard J. Hamilton:
Finding Interesting Summaries in GenSpace Graphs Efficiently. Canadian AI 2004: 89-104 - [c61]Xin Wang, Howard J. Hamilton:
Clustering Spatial Data in the Presence of Obstacles. FLAIRS 2004: 312-318 - [c60]Xin Wang, Camilo Rostoker, Howard J. Hamilton:
Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators. PKDD 2004: 446-458 - [c59]Cory J. Butz, Hong Yao, Howard J. Hamilton:
Towards Jointree Propagation with Conditional Probability Distributions. Rough Sets and Current Trends in Computing 2004: 368-377 - [c58]Guichong Li, Howard J. Hamilton:
Basic Association Rules. SDM 2004: 166-177 - [c57]Hong Yao, Howard J. Hamilton, Cory J. Butz:
A Foundational Approach to Mining Itemset Utilities from Databases. SDM 2004: 482-486 - 2003
- [j13]Brock Barber, Howard J. Hamilton:
Extracting Share Frequent Itemsets with Infrequent Subsets. Data Min. Knowl. Discov. 7(2): 153-185 (2003) - [j12]Leah Findlater, Howard J. Hamilton:
Iceberg-cube algorithms: An empirical evaluation on synthetic and real data. Intell. Data Anal. 7(2): 77-97 (2003) - [j11]Robert J. Hilderman, Howard J. Hamilton:
Measuring the interestingness of discovered knowledge: A principled approach. Intell. Data Anal. 7(4): 347-382 (2003) - [c56]Kamran Karimi, Howard J. Hamilton:
Discovering Temporal/Causal Rules: A Comparison of Methods. AI 2003: 175-189 - [c55]Linhui Jiang, Howard J. Hamilton:
Methods for Mining Frequent Sequential Patterns. AI 2003: 486-491 - [c54]Kamran Karimi, Howard J. Hamilton:
Distinguishing Causal and Acausal Temporal Relations. PAKDD 2003: 234-240 - [c53]Xin Wang, Howard J. Hamilton:
DBRS: A Density-Based Spatial Clustering Method with Random Sampling. PAKDD 2003: 563-575 - [c52]Cory J. Butz, Hong Yao, Howard J. Hamilton:
A Non-local Coarsening Result in Granular Probabilistic Networks. RSFDGrC 2003: 686-689 - [c51]Howard J. Hamilton, Liqiang Geng, Leah Findlater, Dee Jay Randall:
Spatio-Temporal Data Mining with Expected Distribution Domain Generalization Graphs. TIME 2003: 181-191 - 2002
- [c50]Kamran Karimi, Howard J. Hamilton:
RFCT: An Association-Based Causality Miner. AI 2002: 334-338 - [c49]Howard J. Hamilton, Leah Findlater:
Looking Backward, Forward, and All Around: Temporal, Spatial, and Spatio-Temporal Data Mining. FLAIRS 2002: 481-485 - [c48]Liqiang Geng, Howard J. Hamilton:
ESRS: A Case Selection Algorithm Using Extended Similarity-based Rough Sets. ICDM 2002: 609-612 - [c47]Hong Yao, Howard J. Hamilton, Cory J. Butz:
FD_Mine: Discovering Functional Dependencies in a Database Using Equivalences. ICDM 2002: 729-732 - [c46]Kamran Karimi, Howard J. Hamilton:
TimeSleuth: A Tool for Discovering Causal and Temporal Rules. ICTAI 2002: 375-380 - [c45]Kamran Karimi, Howard J. Hamilton:
Discovering Temporal Rules from Temporally Ordered Data. IDEAL 2002: 25-30 - [c44]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: 506-513 - [c43]Xin Wang, Christine W. Chan, Howard J. Hamilton:
Design of knowledge-based systems with the ontology-domain-system approach. SEKE 2002: 233-236 - 2001
- [j10]Brock Barber, Howard J. Hamilton:
Parametric Algorithms for Mining Share Frequent Itemsets. J. Intell. Inf. Syst. 16(3): 277-293 (2001) - [c42]Howard J. Hamilton, Xuewei Wang, Y. Y. Yao:
WebAdaptor: Designing Adaptive Web Sites Using Data Mining Techniques. FLAIRS 2001: 128-132 - [c41]Leah Findlater, Howard J. Hamilton:
An Empirical Comparison of Methods for Iceberg-CUBE Construction. FLAIRS 2001: 244-248 - [c40]Robert J. Hilderman, Howard J. Hamilton:
Evaluation of Interestingness Measures for Ranking Discovered Knowledge. PAKDD 2001: 247-259 - 2000
- [c39]Yang Xiang, Xiaohua Hu, Nick Cercone, Howard J. Hamilton:
Learning Pseudo-independent Models: Analytical and Experimental Results. AI 2000: 227-239 - [c38]Robert J. Hilderman, Howard J. Hamilton:
Principles for mining summaries using objective measures of interestingness. ICTAI 2000: 72-81 - [c37]Bradley P. Kram, James A. Hall, Howard J. Hamilton:
Support based measures applied to ice hockey scoring summaries. ICTAI 2000: 352- - [c36]Kamran Karimi, Howard J. Hamilton:
Logical Decision Rules: Teaching C4.5 to Speak Prolog. IDEAL 2000: 85-90 - [c35]Kamran Karimi, Howard J. Hamilton:
Finding Temporal Relations: Causal Bayesian Networks vs. C4.5. ISMIS 2000: 266-273 - [c34]Brock Barber, Howard J. Hamilton:
Parametric Algorithms for Mining Share-Frequent Itemsets. ISMIS 2000: 562-572 - [c33]Brock Barber, Howard J. Hamilton:
Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets. PKDD 2000: 316-324 - [c32]Robert J. Hilderman, Howard J. Hamilton:
Applying Objective Interestingness Measures in Data Mining Systems. PKDD 2000: 432-439 - [c31]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: 642-646 - [c30]Howard J. Hamilton, Dee Jay Randall:
Data Mining with Calendar Attributes. TSDM 2000: 117-132 - [e3]Howard J. Hamilton:
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. Lecture Notes in Computer Science 1822, Springer 2000, ISBN 3-540-67557-4 [contents]
1990 – 1999
- 1999
- [j9]Avelino J. Gonzalez, Sylvia Daroszewski, Howard J. Hamilton:
Determining the incremental worth of members of an aggregate set through difference-based induction. Int. J. Intell. Syst. 14(3): 275-294 (1999) - [j8]Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman:
Temporal Generalization with Domain Generalization Graphs. Int. J. Pattern Recognit. Artif. Intell. 13(2): 195-217 (1999) - [j7]Robert J. Hilderman, Howard J. Hamilton, Nick Cercone:
Data Mining in Large Databases Using Domain Generalization Graphs. J. Intell. Inf. Syst. 13(3): 195-234 (1999) - [c29]Robert J. Hilderman, Howard J. Hamilton, Brock Barber:
Ranking the Interestingness of Summaries from Data Mining Systems. FLAIRS 1999: 100-106 - [c28]Howard J. Hamilton, Dee Jay Randall:
Heuristic Selection of Aggregated Temporal Data for Knowledge Discovery. IEA/AIE 1999: 714-723 - [c27]Jianna Jian Zhang, Howard J. Hamilton, Nick Cercone:
Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm. ISMIS 1999: 420-429 - [c26]Robert J. Hilderman, Howard J. Hamilton:
Heuristic for Ranking the Interestigness of Discovered Knowledge. PAKDD 1999: 204-209 - [c25]Robert J. Hilderman, Howard J. Hamilton:
Heuristic Measures of Interestingness. PKDD 1999: 232-241 - 1998
- [j6]Robert J. Hilderman, Howard J. Hamilton, Colin L. Carter, Nick Cercone:
Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets. Int. J. Artif. Intell. Tools 7(2): 189-220 (1998) - [j5]Colin L. Carter, Howard J. Hamilton:
Efficient Attribute-Oriented Generalization for Knowledge Discovery from Large Databases. IEEE Trans. Knowl. Data Eng. 10(2): 193-208 (1998) - [c24]Jian Zhang, Howard J. Hamilton:
Learning English Syllabification Rules. Canadian AI 1998: 246-258 - [c23]Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman:
A Technique for Generalizing Temporal Durations in Relational Databases. FLAIRS 1998: 193-197 - [c22]Avelino J. Gonzalez, Sylvia Daroszewski, Howard J. Hamilton:
Determining the Incremental Worth of Members of an Aggregate Set through Difference-Based Induction. FLAIRS 1998: 245-249 - [c21]Robert J. Hilderman, Colin L. Carter, Howard J. Hamilton, Nick Cercone:
Mining Market Basket Data Using Share Measures and Characterized Itemsets. PAKDD 1998: 159-170 - [c20]Howard J. Hamilton, Robert J. Hilderman, Liangchun Li, Dee Jay Randall:
Generalization Lattices. PKDD 1998: 328-336 - [c19]Dee Jay Randall, Howard J. Hamilton, Robert J. Hilderman:
Generalization for Calendar Attributes using Domain Generalization Graphs. TIME 1998: 177-184 - 1997
- [j4]Robert J. Hilderman, Howard J. Hamilton:
A Note on Regeneration with Virtual Copies. IEEE Trans. Software Eng. 23(1): 56-59 (1997) - [c18]Howard J. Hamilton, Ning Shan, Wojciech Ziarko:
Machine Learning of Credible Classifications. Australian Joint Conference on Artificial Intelligence 1997: 330-339 - [c17]Ning Shan, Howard J. Hamilton, Nick Cercone:
Inducing and Using Decision Rules in the GRG Knowledge Discovery System. ECML 1997: 234-241 - [c16]Robert J. Hilderman, Liangchun Li, Howard J. Hamilton:
Data Visualization in the DB-Discover System. ICTAI 1997: 474-477 - [c15]Brock Barber, Howard J. Hamilton:
A Comparison of Attribute Selection Strategies for Attribute-Oriented Generalization. ISMIS 1997: 106-116 - [c14]Jian Zhang, Howard J. Hamilton:
Learning English Syllabification for Words. ISMIS 1997: 177-186 - [c13]Colin L. Carter, Howard J. Hamilton, Nick Cercone:
Share Based Measures for Itemsets. PKDD 1997: 14-24 - [c12]Robert J. Hilderman, Howard J. Hamilton, Robert J. Kowalchuk, Nick Cercone:
Parallel Knowledge Discovery Using Domain Generalization Graphs. PKDD 1997: 25-35 - 1996
- [j3]Scott D. Goodwin, Howard J. Hamilton:
It's About Time: An Introduction to the Special Issue on Temporal Representation and Reasoning. Comput. Intell. 12: 357-358 (1996) - [j2]Ning Shan, Howard J. Hamilton, Nick Cercone:
Grg: Knowledge Discovery using Information Generalization, Information Reduction, and Rule Generation. Int. J. Artif. Intell. Tools 5(1-2): 99-112 (1996) - [c11]Brock Barber, Howard J. Hamilton:
Attribute Selection Strategies fro Attribute-Oriented Generalization. AI 1996: 429-441 - [c10]Howard J. Hamilton, Robert J. Hilderman, Nick Cercone:
Attribute-oriented Induction Using Domain Generalization Graphs. ICTAI 1996: 246-253 - [c9]Ning Shan, Howard J. Hamilton, Nick Cercone:
Induction of Classification Rules from Imperfect Data. ISMIS 1996: 118-127 - [c8]Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone:
Discovering Classification Knowledge in Databases Using Rough Sets. KDD 1996: 271-274 - [e2]Luca Chittaro, Scott D. Goodwin, Howard J. Hamilton, Angelo Montanari:
Proceedings of the Third International Workshop on Temporal Representation and Reasoning, TIME-96, Key West, Florida, USA, May 19-20, 1996. IEEE Computer Society 1996, ISBN 0-8186-7528-4 [contents] - 1995
- [j1]Howard J. Hamilton, David R. Fudger:
Estimating DBLEARN's Potential for Knowledge Discovery in Databases. Comput. Intell. 11: 280-296 (1995) - [c7]Ning Shan, Howard J. Hamilton, Nick Cercone:
GRG: knowledge discovery using information generalization, information reduction, and rule generation. ICTAI 1995: 372-379 - [c6]Colin L. Carter, Howard J. Hamilton:
Performance evaluation of attribute-oriented algorithms for knowledge discovery from databases. ICTAI 1995: 486-489 - [c5]Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone:
Using Rough Sets as Tools for Knowledge Discovery. KDD 1995: 263-268 - [c4]Robert J. Hilderman, Howard J. Hamilton:
Performance Analysis of a Regeneration-Based Dynamic Voting Algorithm. SRDS 1995: 196-205 - 1994
- [c3]Scott D. Goodwin, Howard J. Hamilton, Eric Neufeld, Abdul Sattar, André Trudel:
Belief Revision in a Discrete Temporal Probability-Logic. TIME 1994: 113-120 - [e1]Scott D. Goodwin, Howard J. Hamilton:
Proceedings of the TIME-94 International Workshop on Temporal Reasoning, Pensacola, Florida, USA, May 4, 1994. University of Regina, Regina, SK, Canada 1994, ISBN 0-7731-0278-7 [contents] - 1993
- [c2]David R. Fudger, Howard J. Hamilton:
A Heuristic for Evaluating Databases for Knowledge Discovery with DBLEARN. RSKD 1993: 44-51 - 1992
- [c1]Howard J. Hamilton, J. Michael Dyck:
Using the IIPS Framework to Specify Machine-Discovery Problems. ICCI 1992: 266-269
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-31 21:08 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
