2009 |
147 | EE | Thanaruk Theeramunkong,
Boonserm Kijsirikul,
Nick Cercone,
Tu Bao Ho:
Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings
Springer 2009 |
2008 |
146 | | Changjie Tang,
Charles X. Ling,
Xiaofang Zhou,
Nick Cercone,
Xue Li:
Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings
Springer 2008 |
145 | EE | Xiangdong An,
Nick Cercone:
Mining Causal Knowledge from Diagnostic Knowledge.
ADMA 2008: 556-562 |
144 | EE | Andrew Wong,
Nick Cercone:
A Distributed Multi-agent System implementation of the Human-Friendly MAS for Mining Stock Data.
Web Intelligence/IAT Workshops 2008: 621-625 |
143 | EE | Puntip Pattaraintakorn,
Nick Cercone:
Integrating rough set theory and medical applications.
Appl. Math. Lett. 21(4): 400-403 (2008) |
142 | EE | Xiangdong An,
Yang Xiang,
Nick Cercone:
Dynamic multiagent probabilistic inference.
Int. J. Approx. Reasoning 48(1): 185-213 (2008) |
2007 |
141 | | Jingtao Yao,
Pawan Lingras,
Wei-Zhi Wu,
Marcin S. Szczuka,
Nick Cercone,
Dominik Slezak:
Rough Sets and Knowledge Technology, Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings
Springer 2007 |
140 | EE | Jiye Li,
Nick Cercone,
Robin Cohen:
Addressing Missing Attributes during Data Mining Using Frequent Itemsets and Rough Set Based Predictions.
GrC 2007: 294-300 |
139 | EE | Jiye Li,
Nick Cercone,
Jianchao Han:
A Method of Finding Representative Sets of Rules.
GrC 2007: 330-335 |
138 | EE | Sumalee Sonamthiang,
Nick Cercone,
Kanlaya Naruedomkul:
Discovering Hierarchical Patterns of Students' Learning Behavior in Intelligent Tutoring Systems.
GrC 2007: 485-489 |
137 | EE | Sumalee Sonamthiang,
Nick Cercone,
Kanlaya Naruedomkul:
A Rough Set Based Map Granule.
RSEISP 2007: 290-299 |
136 | EE | Jianchao Han,
T. Y. Lin,
Jiye Li,
Nick Cercone:
Constructing Associative Classifiers from Decision Tables.
RSFDGrC 2007: 305-313 |
135 | EE | Puntip Pattaraintakorn,
Gregory M. Zaverucha,
Nick Cercone:
Web Based Health Recommender System Using Rough Sets, Survival Analysis and Rule-Based Expert Systems.
RSFDGrC 2007: 491-499 |
134 | EE | Jiye Li,
Puntip Pattaraintakorn,
Nick Cercone:
Rule Evaluations, Attributes, and Rough Sets: Extension and a Case Study.
T. Rough Sets 6: 152-171 (2007) |
133 | EE | Puntip Pattaraintakorn,
Nick Cercone:
Hybrid Rough Sets-Population Based System.
T. Rough Sets 7: 190-205 (2007) |
132 | EE | Puntip Pattaraintakorn,
Nick Cercone,
Kanlaya Naruedomkul:
Hybrid Rough Sets Intelligent System Architecture for Survival Analysis.
T. Rough Sets 7: 206-224 (2007) |
2006 |
131 | EE | Zhenmei Gu,
Nick Cercone:
Segment-Based Hidden Markov Models for Information Extraction.
ACL 2006 |
130 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
Auditing and Inference Control for Privacy Preservation in Uncertain Environments.
EuroSSC 2006: 159-173 |
129 | EE | Xiangdong An,
Nick Cercone:
Iterative Compilation of Multiagent Probabilistic Graphical Models.
IAT 2006: 233-239 |
128 | EE | Xiangdong An,
Nick Cercone:
Iterative Multiagent Probabilistic Inference.
IAT 2006: 240-246 |
127 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
A Bayesian Network Approach to Detecting Privacy Intrusion.
IAT Workshops 2006: 73-76 |
126 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
Privacy intrusion detection using dynamic Bayesian networks.
ICEC 2006: 208-215 |
125 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
Probabilistic Internal Privacy Intrusion Detection.
IDEAS 2006: 317-318 |
124 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
Dynamic inference control in privacy preference enforcement.
PST 2006: 24 |
123 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
Temporal Context Lie Detection and Generation.
Secure Data Management 2006: 30-47 |
122 | EE | Vlado Keselj,
Tony Abou-Assaleh,
Nick Cercone:
DalTREC 2006 QA System Jellyfish: Regular Expressions Mark-and-Match Approach to Question Answering.
TREC 2006 |
121 | EE | Nick Cercone:
Web Intelligence Meets Brain Informatics at the Language Barrier: A Procrustean Bed?
WImBI 2006: 59-72 |
120 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
Reasoning about obfuscated private information: who have lied and how to lie.
WPES 2006: 85-88 |
119 | EE | Xiangdong An,
Dawn N. Jutla,
Nick Cercone:
Privacy Preserving Multiagent Probabilistic Reasoning about Ambiguous Contexts: A Case Study.
Web Intelligence 2006: 801-807 |
118 | EE | Puntip Pattaraintakorn,
Nick Cercone,
Kanlaya Naruedomkul:
Rule learning: Ordinal prediction based on rough sets and soft-computing.
Appl. Math. Lett. 19(12): 1300-1307 (2006) |
117 | EE | Jiye Li,
Nick Cercone:
Introducing a Rule Importance Measure.
T. Rough Sets: 167-189 (2006) |
2005 |
116 | | Chutima Pisarn,
Thanaruk Theeramunkong,
Nick Cercone:
Spelling Recognition for Two Commonly-Used Thai Spelling Methods.
Artificial Intelligence and Applications 2005: 662-667 |
115 | EE | Puntip Pattaraintakorn,
Nick Cercone,
Kanlaya Naruedomkul:
Hybrid Intelligent Systems: Selecting Attributes for Soft-Computing Analysis.
COMPSAC (1) 2005: 319-325 |
114 | EE | Atorn Nuntiyagul,
Nick Cercone,
Kanlaya Naruedomkul:
Recovering "Lack of Words" in Text Categorization for Item Banks.
COMPSAC (2) 2005: 31-32 |
113 | EE | Tony Abou-Assaleh,
Nick Cercone,
Vlado Keselj:
A Probabilistic Evaluation Function for Relaxed Unification.
COMPSAC (2) 2005: 35-36 |
112 | EE | Jiye Li,
Nick Cercone:
Discovering and ranking important rules.
GrC 2005: 506-511 |
111 | EE | Atorn Nuntiyagul,
Kanlaya Naruedomkul,
Nick Cercone,
Damras Wongsawang:
PKIP: Feature Selection in Text Categorization for Item Banks.
ICTAI 2005: 212-216 |
110 | EE | Jiye Li,
Nick Cercone:
A Rough Set Based Model to Rank the Importance of Association Rules.
RSFDGrC (2) 2005: 109-118 |
109 | EE | Puntip Pattaraintakorn,
Nick Cercone,
Kanlaya Naruedomkul:
Selecting Attributes for Soft-Computing Analysis in Hybrid Intelligent Systems.
RSFDGrC (2) 2005: 698-708 |
108 | EE | Chutima Pisarn,
Thanaruk Theeramunkong,
Nick Cercone,
Junalux Chalidabhongse:
Thai Spelling Recognition Using a Continuous Speech Corpus.
Int. J. Comput. Proc. Oriental Lang. 18(4): 243-264 (2005) |
2004 |
107 | EE | Lalita Narupiyakul,
Calvin Thomas,
Nick Cercone,
Booncharoen Sirinaovakul:
Thai Syllable-Based Information Extraction Using Hidden Markov Models.
CICLing 2004: 537-546 |
106 | EE | Tony Abou-Assaleh,
Nick Cercone,
Vlado Keselj,
Ray Sweidan:
N-Gram-Based Detection of New Malicious Code.
COMPSAC Workshops 2004: 41-42 |
105 | EE | Xiangdong An,
Yang Xiang,
Nick Cercone:
Revising Markov Boundary for Multiagent Probabilistic Inference.
IAT 2004: 113-119 |
104 | EE | Tsau Young Lin,
Nick Cercone,
Xiaohua Hu,
Jianchao Han:
Intelligent Query Answering Based on Neighborhood Systems and Data Mining Techniques.
IDEAS 2004: 91-96 |
103 | | Puntip Pattaraintakorn,
Kanlaya Naruedomkul,
Nick Cercone:
Dual Problems: Attribute Selection and Example Selection.
International Conference on Internet Computing 2004: 60-65 |
102 | EE | Xiangdong An,
Yang Xiang,
Nick Cercone:
Probabilistic reasoning in dynamic multiagent systems.
NMR 2004: 16-24 |
101 | EE | Jiye Li,
Bin Tang,
Nick Cercone:
Applying Association Rules for Interesting Recommendations Using Rule Templates.
PAKDD 2004: 166-170 |
100 | EE | Tony Abou-Assaleh,
Nick Cercone,
Vlado Keselj,
Ray Sweidan:
Detection of New Malicious Code Using N-grams Signatures.
PST 2004: 193-196 |
99 | EE | Jianchao Han,
Nick Cercone,
Xiaohua Hu:
A Weighted Freshness Metric for Maintaining Search Engine Local Repository.
Web Intelligence 2004: 677-680 |
98 | | Asad Satti,
Nick Cercone,
Vlado Keselj:
Experiments in Web Page Classification for Semantic Web.
Workshop on Web-based Support Systems 2004: 137-141 |
97 | | Vlado Keselj,
Nick Cercone:
PPDN - a Framework for Peer-to-Peer Collaborative Research Network.
Workshop on Web-based Support Systems 2004: 88-93 |
96 | EE | Xiaohua Hu,
Nick Cercone:
A data warehouse/online analytic processing framework for web usage mining and business intelligence reporting.
Int. J. Intell. Syst. 19(7): 585-606 (2004) |
95 | EE | Yang Xiang,
Jae-Hyuck Lee,
Nick Cercone:
Toward better scoring metrics for pseudo-independent models.
Int. J. Intell. Syst. 19(8): 749-768 (2004) |
94 | EE | Aijun An,
Yanhui Huang,
Xiangji Huang,
Nick Cercone:
Feature Selection with Rough Sets for Web Page Classification.
T. Rough Sets: 1-13 (2004) |
2003 |
93 | EE | Xiaohua Hu,
Jianchao Han,
Nick Cercone:
Discovering Cyber Communities from the WWW.
COMPSAC 2003: 590-594 |
92 | EE | Xiangji Huang,
Fuchun Peng,
Aijun An,
Dale Schuurmans,
Nick Cercone:
Session Boundary Detection for Association Rule Learning Using n-Gram Language Models.
Canadian Conference on AI 2003: 237-251 |
91 | EE | Tony Abou-Assaleh,
Nick Cercone,
Vlado Keselj:
Towards the Theory of Relaxed Unification.
ISMIS 2003: 397-401 |
90 | EE | Tony Abou-Assaleh,
Nick Cercone:
Relaxed unification--Proposal.
Appl. Math. Lett. 16(5): 747-751 (2003) |
89 | | Xiangji Huang,
Fuchun Peng,
Dale Schuurmans,
Nick Cercone,
Stephen E. Robertson:
Applying Machine Learning to Text Segmentation for Information Retrieval.
Inf. Retr. 6(3-4): 333-362 (2003) |
88 | EE | Jianchao Han,
Xiaohua Hu,
Nick Cercone:
A visualization model of interactive knowledge discovery systems and its implementations.
Information Visualization 2(2): 105-125 (2003) |
2002 |
87 | EE | Xiangji Huang,
Nick Cercone,
Aijun An:
Comparison of interestingness functions for learning web usage patterns.
CIKM 2002: 617-620 |
86 | EE | Fuchun Peng,
Xiangji Huang,
Dale Schuurmans,
Nick Cercone:
Investigating the Relationship between Word Segmentation Performance and Retrieval Performance in Chinese IR.
COLING 2002 |
85 | EE | Tony Abou-Assaleh,
Nick Cercone:
Relaxed Unification - Proposal.
Canadian Conference on AI 2002: 364-365 |
84 | EE | Xiangji Huang,
Aijun An,
Nick Cercone,
Gary Promhouse:
Discovery of Interesting Association Rules from Livelink Web Log Data.
ICDM 2002: 763-766 |
83 | EE | Jianchao Han,
Nick Cercone:
Interactive Construction of Classification Rules.
PAKDD 2002: 529-534 |
82 | EE | Fuchun Peng,
Xiangji Huang,
Dale Schuurmans,
Nick Cercone,
Stephen E. Robertson:
Using self-supervised word segmentation in Chinese information retrieval.
SIGIR 2002: 349-350 |
81 | | Nick Cercone,
Booncharoen Sirinaovakul,
Vilas Wuwongse:
Introduction to the Special Issue.
Computational Intelligence 18(3): 253-253 (2002) |
80 | | Kanlaya Naruedomkul,
Nick Cercone:
Generate and Repair Machine Translation.
Computational Intelligence 18(3): 254-269 (2002) |
79 | EE | Nick Cercone,
Lijun Hou,
Vlado Keselj,
Aijun An,
Kanlaya Naruedomkul,
Xiaohua Hu:
From Computational Intelligence to Web Intelligence.
IEEE Computer 35(11): 72-76 (2002) |
78 | EE | Charles X. Ling,
Nick Cercone:
Editorial Notes.
Int. J. Found. Comput. Sci. 13(4): 473-475 (2002) |
2001 |
77 | | Nick Cercone,
Tsau Young Lin,
Xindong Wu:
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November - 2 December 2001, San Jose, California, USA
IEEE Computer Society 2001 |
76 | EE | Aijun An,
Nick Cercone,
Xiangji Huang:
A Case Study for Learning from Imbalanced Data Sets.
Canadian Conference on AI 2001: 1-15 |
75 | EE | Jianchao Han,
Nick Cercone:
Interactive Construction of Decision Trees.
PAKDD 2001: 575-580 |
74 | EE | Nick Cercone:
From Computational Intelligence to Web Intelligence: An Ensemble from Potpourri.
Web Intelligence 2001: 30-42 |
73 | EE | Jianchao Han,
Nick Cercone:
Implementation Issues and Paradigms of Visual KDD Systems.
Web Intelligence 2001: 454-463 |
72 | | Aijun An,
Nick Cercone:
Rule Quality Measures for Rule Induction Systems: Description and Evaluation.
Computational Intelligence 17(3): 409-424 (2001) |
71 | | Xiaohua Hu,
Nick Cercone:
Discovering Maximal Generalized Decision Rules Through Horixontal and Vertical Data Reduction.
Computational Intelligence 17(3): 684-702 (2001) |
2000 |
70 | EE | Jianchao Han,
Aijun An,
Nick Cercone:
CViz: An Interactive Visualization System for Rule Induction.
Canadian Conference on AI 2000: 214-226 |
69 | EE | Yang Xiang,
Xiaohua Hu,
Nick Cercone,
Howard J. Hamilton:
Learning Pseudo-independent Models: Analytical and Experimental Results.
Canadian Conference on AI 2000: 227-239 |
68 | EE | Jianchao Han,
Nick Cercone:
Typical Example Selection for Learning Classifiers.
Canadian Conference on AI 2000: 347-356 |
67 | EE | Aijun An,
Nick Cercone:
Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach.
ISMIS 2000: 119-129 |
66 | EE | Jianchao Han,
Nick Cercone:
RuleViz: a model for visualizing knowledge discovery process.
KDD 2000: 244-253 |
65 | | Jianchao Han,
Nick Cercone:
AViz: A Visualization System for Discovering Numeric Association Rules.
PAKDD 2000: 269-280 |
64 | EE | Jianchao Han,
Xiaohua Hu,
Nick Cercone:
Supervised Learning: A Generalized Rough Set Approach.
Rough Sets and Current Trends in Computing 2000: 322-329 |
63 | | Nick Cercone,
Kiyoshi Kogure,
Kanlaya Naruedomkul:
Introduction To the Special Issue on the 1999 Pacific Association for Computational Linguistics Conference.
Computational Intelligence 16(4): 499-500 (2000) |
62 | | Xiangji Huang,
Stephen E. Robertson,
Nick Cercone,
Aijun An:
Probability-Based Chinese Text Processing and Retrieval.
Computational Intelligence 16(4): 552-569 (2000) |
1999 |
61 | | Aijun An,
Nick Cercone,
Christine W. Chan:
ORTES: The Design of a Real-Time Control Expert System.
ISMIS 1999: 319-329 |
60 | | Jianna Jian Zhang,
Howard J. Hamilton,
Nick Cercone:
Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm.
ISMIS 1999: 420-429 |
59 | EE | Jianchao Han,
Nick Cercone:
DVIZ: A System for Visualizing Data Mining.
PAKDD 1999: 390-399 |
58 | EE | Aijun An,
Nick Cercone:
Discretization of Continuous Attributes for Learning Classification Rules.
PAKDD 1999: 509-514 |
57 | | Jianna Jian Zhang,
Nick Cercone:
The Iterated Version Space Learning.
RSFDGrC 1999: 472-481 |
56 | | Aijun An,
Nick Cercone:
An Empirical Study on Rule Quality Measures.
RSFDGrC 1999: 482-491 |
55 | | Kanlaya Naruedomkul,
Nick Cercone,
Booncharoen Sirinaovakul:
English-Thai Translation: Initial Experiments with a Multiphase Translation System.
Computational Intelligence 15: 128-151 (1999) |
54 | EE | Nick Cercone,
Aijun An,
Christine W. Chan:
Rule-Induction and Case-Based Reasoning: Hybrid Architectures Appear Advantageous.
IEEE Trans. Knowl. Data Eng. 11(1): 166-174 (1999) |
53 | | 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) |
52 | EE | Xiaohua Hu,
Nick Cercone:
Data Mining via Discretization, Generalization and Rough Set Feature Selection.
Knowl. Inf. Syst. 1(1): 33-60 (1999) |
1998 |
51 | | Aijun An,
Nick Cercone:
ELEM2: A Learning System for More Accurate Classifications.
Canadian Conference on AI 1998: 426-441 |
50 | | 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 |
49 | EE | Robert J. Hilderman,
Howard J. Hamilton,
Colin L. Carter,
Nick Cercone:
Mining Association Rules from Market Basket Data using Share Measures and Characterized Itemsets.
International Journal on Artificial Intelligence Tools 7(2): 189-220 (1998) |
1997 |
48 | | Ning Shan,
Howard J. Hamilton,
Nick Cercone:
Inducing and Using Decision Rules in the GRG Knowledge Discovery System.
ECML 1997: 234-241 |
47 | | Aijun An,
Nick Cercone,
Christine W. Chan:
Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving.
ICCBR 1997: 499-508 |
46 | EE | Xiaohua Hu,
Nick Cercone:
Learning Maximal Generalized Decision Rules via Discretization, Generalization, and Rough Set Feature Selection.
ICTAI 1997: 548- |
45 | | Colin L. Carter,
Howard J. Hamilton,
Nick Cercone:
Share Based Measures for Itemsets.
PKDD 1997: 14-24 |
44 | | Robert J. Hilderman,
Howard J. Hamilton,
Robert J. Kowalchuk,
Nick Cercone:
Parallel Knowledge Discovery Using Domain Generalization Graphs.
PKDD 1997: 25-35 |
43 | | Aijun An,
Christine W. Chan,
Ning Shan,
Nick Cercone,
Wojciech Ziarko:
Applying Knowledge Discovery to Predict Water-Supply Consumption.
IEEE Expert 12(4): 72-78 (1997) |
42 | | Yang Xiang,
S. K. Michael Wong,
Nick Cercone:
A ``Microscopic'' Study of Minimum Entropy Search in Learning Decomposable Markov Networks.
Machine Learning 26(1): 65-92 (1997) |
1996 |
41 | EE | Xiaohua Hu,
Nick Cercone:
Mining Knowledge Rules from Databases: A Rough Set Approach.
ICDE 1996: 96-105 |
40 | | Howard J. Hamilton,
Robert J. Hilderman,
Nick Cercone:
Attribute-oriented Induction Using Domain Generalization Graphs.
ICTAI 1996: 246-253 |
39 | | Ning Shan,
Howard J. Hamilton,
Nick Cercone:
Induction of Classification Rules from Imperfect Data.
ISMIS 1996: 118-127 |
38 | | Wojciech Ziarko,
Nick Cercone,
Xiaohua Hu:
Rule Discovery from Databases with Decision Matrices.
ISMIS 1996: 653-662 |
37 | | Ning Shan,
Wojciech Ziarko,
Howard J. Hamilton,
Nick Cercone:
Discovering Classification Knowledge in Databases Using Rough Sets.
KDD 1996: 271-274 |
36 | EE | Yang Xiang,
S. K. Michael Wong,
Nick Cercone:
Critical Remarks on Single Link Search in Learning Belief Networks.
UAI 1996: 564-571 |
35 | EE | Jiawei Han,
Yue Huang,
Nick Cercone,
Yongjian Fu:
Intelligent Query Answering by Knowledge Discovery Techniques.
IEEE Trans. Knowl. Data Eng. 8(3): 373-390 (1996) |
1995 |
34 | | Xiaohua Hu,
Nick Cercone:
Rough Sets Similarity-Based Learning from Databases.
KDD 1995: 162-167 |
33 | | Ning Shan,
Wojciech Ziarko,
Howard J. Hamilton,
Nick Cercone:
Using Rough Sets as Tools for Knowledge Discovery.
KDD 1995: 263-268 |
32 | | Xiaohua Hu,
Nick Cercone:
Learning in Relational Databases: A Rough Set Approach.
Computational Intelligence 11: 323-338 (1995) |
31 | | Yang Xiang,
S. K. Michael Wong,
Nick Cercone:
Quantification of Unvertainty in Classification Rules Discovered from Databases.
Computational Intelligence 11: 427-441 (1995) |
30 | | Xu Wu,
Nick Cercone,
Tadao Ichikawa:
A Knowledge-based System for Generating Informative Responsens to Indirect Database Queries.
J. Intell. Inf. Syst. 5(1): 5-23 (1995) |
1994 |
29 | EE | Xiaohua Hu,
Nick Cercone:
Discovery of Decision Rules in Relational Databases: A Rough Set Approach.
CIKM 1994: 392-400 |
28 | | Xiaohua Hu,
Ning Shan,
Nick Cercone,
Wojciech Ziarko:
DBROUGH: A Rough Set Based Knowledge Discovery System.
ISMIS 1994: 386-395 |
27 | | Xiaohua Hu,
Nick Cercone,
Jinshi Xie:
Learning Data Trend Regularities From Databases in a Dynamic Environment.
KDD Workshop 1994: 323-334 |
26 | | Christine W. Chan,
Nick Cercone,
Aijun An,
Paitoon Tontiwachwuthikul:
Object-Oriented Modelling and Simulation of an Expert System for Monitoring and Control of a Water Distribution System.
OOIS 1994: 130-133 |
25 | EE | Jiawei Han,
Yongjian Fu,
Yue Huang,
Yandong Cai,
Nick Cercone:
DBLearn: A System Prototype for Knowledge Discovery in Relational Databases.
SIGMOD Conference 1994: 516 |
1993 |
24 | | T. Pattabhiraman,
Nick Cercone:
Decision-Theoretic Salience Interactions in Language Generation.
IJCAI 1993: 1246-1252 |
23 | | Nick Cercone,
Paul McFetridge,
Jiawei Han,
Fred Popowich:
Human-Computer Interfaces: DBLEARN and System X.
RSKD 1993: 32-43 |
22 | | Yang Xiang,
S. K. Michael Wong,
Nick Cercone:
Quantifying Uncertainty of Knowledge Discovered From Databases.
RSKD 1993: 63-73 |
21 | | Xiaohua Hu,
Nick Cercone,
Jiawei Han:
An Attribute-Oriented Rough Set Approach for Knowledge Discovery in Databases.
RSKD 1993: 90-99 |
20 | EE | Jiawei Han,
Yandong Cai,
Nick Cercone:
Data-Driven Discovery of Quantitative Rules in Relational Databases.
IEEE Trans. Knowl. Data Eng. 5(1): 29-40 (1993) |
19 | EE | Nick Cercone,
Mas Tsuchiya:
Guest Editors' Introduction.
IEEE Trans. Knowl. Data Eng. 5(6): 901-902 (1993) |
1992 |
18 | EE | Jiawei Han,
Yandong Cai,
Nick Cercone:
Knowledge Discovery in Databases: An Attribute-Oriented Approach.
VLDB 1992: 547-559 |
17 | | T. Pattabhiraman,
Nick Cercone:
Introduction.
Computational Intelligence 8: 72-76 (1992) |
1991 |
16 | | Yandong Cai,
Nick Cercone,
Jiawei Han:
Attribute-Oriented Induction in Relational Databases.
Knowledge Discovery in Databases 1991: 213-228 |
15 | | Yandong Cai,
Nick Cercone,
Jiawei Han:
Learning in relational databases: an attribute-oriented approach.
Computational Intelligence 7: 119-132 (1991) |
14 | EE | Rakesh Agrawal,
Nick Cercone,
David Choy:
A Message to TCDE Members.
IEEE Data Eng. Bull. 14(3): 1 (1991) |
1990 |
13 | EE | Yandong Cai,
Nick Cercone,
Jiawei Han:
An Attribute-Oriented Approach for Learning Classification Rules from Relational Databases.
ICDE 1990: 281-288 |
1989 |
12 | | Nick Cercone:
Better Tool for Professionals: Knowledge Based Systems.
IFIP Congress 1989: 191-192 |
11 | | T. Pattabhiraman,
Nick Cercone:
Representing and Using Protosemantic Information in Generating Bus Route Descriptions.
KBCS 1989: 341-352 |
10 | | Tomek Strzalkowski,
Nick Cercone:
Non-Singular Concepts in Natural Language Discourse.
Computational Linguistics 15(3): 171-186 (1989) |
1988 |
9 | EE | Mimi Kao,
Nick Cercone,
Wo-Shun Luk:
Providing Quality Responses with Natural Language Interfaces: The Null Value Problem.
IEEE Trans. Software Eng. 14(7): 959-984 (1988) |
1987 |
8 | EE | Mimi Kao,
Nick Cercone,
Wo-Shun Luk:
What do you mean ``Null''? Turning Null Responses into Quality Responses.
ICDE 1987: 356-364 |
1986 |
7 | | Nick Cercone,
Gordon I. McCalla:
Accessing Knowledge through Natural Language.
Advances in Computers 25: 1-99 (1986) |
6 | | Tomek Strzalkowski,
Nick Cercone:
A framework for computing extrasentential references.
Computational Intelligence 2: 159-179 (1986) |
1985 |
5 | | Gordon I. McCalla,
Nick Cercone:
Artificial Intelligence in Canada: A Review.
AI Magazine 5(4): 50-58 (1985) |
4 | | Nick Cercone,
J. Boates,
M. Krause:
An Interactive System for Finding Perfect Hash Functions.
IEEE Software 2(6): 38-53 (1985) |
1983 |
3 | | Gordon I. McCalla,
Nick Cercone:
Approaches to Knowledge Representation - Guest Editors' Introduction.
IEEE Computer 16(10): 12-18 (1983) |
1977 |
2 | | Nick Cercone:
A Note on Representing Adjectives and Adverbs.
IJCAI 1977: 139-140 |
1975 |
1 | | Nick Cercone,
Lenhart K. Schubert:
Toward a State Based Conceptual Representation.
IJCAI 1975: 83-90 |