2008 |
24 | EE | Christopher J. Matheus,
Mieczyslaw M. Kokar,
Robert Dionne:
A Demonstration of Formal Policy Reasoning Using an Extended Version of BaseVISor.
POLICY 2008: 225-227 |
23 | EE | Jakub Moskal,
Christopher J. Matheus:
Detection of Suspicious Activity Using Different Rule Engines - Comparison of BaseVISor, Jena and Jess Rule Engines.
RuleML 2008: 73-80 |
2006 |
22 | EE | Christopher J. Matheus,
Kenneth Baclawski,
Mieczyslaw M. Kokar:
BaseVISor: A Triples-Based Inference Engine Outfitted to Process RuleML and R-Entailment Rules.
RuleML 2006: 67-74 |
2005 |
21 | EE | Christopher J. Matheus,
Mieczyslaw M. Kokar,
Kenneth Baclawski,
Jerzy Letkowski:
An Application of Semantic Web Technologies to Situation Awareness.
International Semantic Web Conference 2005: 944-958 |
20 | EE | Christopher J. Matheus:
Position Paper: Using Ontology-based Rules for Situation Awareness and Information Fusion.
Rule Languages for Interoperability 2005 |
19 | EE | Christopher J. Matheus,
Kenneth Baclawski,
Mieczyslaw M. Kokar,
Jerzy Letkowski:
Using SWRL and OWL to Capture Domain Knowledge for a Situation Awareness Application Applied to a Supply Logistics Scenario.
RuleML 2005: 130-144 |
2004 |
18 | EE | Kenneth Baclawski,
Christopher J. Matheus,
Mieczyslaw M. Kokar,
Jerzy Letkowski,
Paul A. Kogut:
Towards a Symptom Ontology for Semantic Web Applications.
International Semantic Web Conference 2004: 650-667 |
17 | EE | Christopher J. Matheus:
SWRLp: An XML-Based SWRL Presentation Syntax.
RuleML 2004: 194-199 |
2003 |
16 | EE | Christopher J. Matheus,
Mieczyslaw M. Kokar,
Kenneth Baclawski,
Jerzy Letkowski:
Constructing RuleML-Based Domain Theories on Top of OWL Ontologies.
RuleML 2003: 81-94 |
2000 |
15 | EE | Ming Tan,
Johnson Lee,
Hao Xu,
Joshua Introne,
Christopher J. Matheus:
Wireless usage analysis for capacity planning and beyond: a data warehouse approach.
NOMS 2000: 905-917 |
1999 |
14 | | Richard Brandau,
Tony Confrey,
Alin D'Silva,
Christopher J. Matheus,
Robert Weihmayer:
Reinventing GTE with Information Technology.
IEEE Computer 32(3): 50-58 (1999) |
1996 |
13 | | Christopher J. Matheus,
Gregory Piatetsky-Shapiro,
Dwight McNeill:
Selecting and reporting What Is Interesting.
Advances in Knowledge Discovery and Data Mining 1996: 495-515 |
1994 |
12 | | Gregory Piatetsky-Shapiro,
Christopher J. Matheus:
The Interingness of Deviations.
KDD Workshop 1994: 25-36 |
11 | | Christopher J. Matheus,
Gregory Piatetsky-Shapiro,
Dwight McNeill:
An Application of KEFM to the Analysis of Healthcare Information.
KDD Workshop 1994: 441-452 |
10 | | Gregory Piatetsky-Shapiro,
Christopher J. Matheus,
Padhraic Smyth,
Ramasamy Uthurusamy:
KDD-93: Progress and Challenges in Knowledge Discovery in Databases.
AI Magazine 15(3): 77-82 (1994) |
1993 |
9 | EE | Christopher J. Matheus,
Philip K. Chan,
Gregory Piatetsky-Shapiro:
Systems for Knowledge Discovery in Databases.
IEEE Trans. Knowl. Data Eng. 5(6): 903-913 (1993) |
1992 |
8 | | William J. Frawley,
Gregory Piatetsky-Shapiro,
Christopher J. Matheus:
Knowledge Discovery in Databases: An Overview.
AI Magazine 13(3): 57-70 (1992) |
1991 |
7 | | Christopher J. Matheus:
The Need for Constructive Induction.
ML 1991: 173-177 |
6 | | Richard S. Sutton,
Christopher J. Matheus:
Learning Polynomial Functions by Feature Construction.
ML 1991: 208-212 |
5 | EE | Terence D. Sanger,
Richard S. Sutton,
Christopher J. Matheus:
Iterative Construction of Sparse Polynomial Approximations.
NIPS 1991: 1064-1071 |
4 | | William J. Frawley,
Gregory Piatetsky-Shapiro,
Christopher J. Matheus:
Knowledge Discovery in Databases: An Overview.
Knowledge Discovery in Databases 1991: 1-30 |
1990 |
3 | | Christopher J. Matheus:
Adding Domain Knowledge to SBL Through Feature Construction.
AAAI 1990: 803-808 |
1989 |
2 | | Christopher J. Matheus,
Larry A. Rendell:
Constructive Induction On Decision Trees.
IJCAI 1989: 645-650 |
1987 |
1 | | Christopher J. Matheus,
William E. Hohensee:
Learning in artificial neural systems.
Computational Intelligence 3: 283-294 (1987) |