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Christopher J. Matheus
2010 – today
- 2012
[c23]Christopher J. Matheus, Aidan Boran, Dominic Carr, Rem Collier, Barnard Kroon, Olga Murdoch, Gregory M. P. O'Hare, Michael J. O'Grady: Semantic Network Monitoring and Control over Heterogeneous Network Models and Protocols, . AMT 2012: 433-444
[c22]Aidan Boran, Ivan Bedini, Christopher J. Matheus, Peter F. Patel-Schneider, Stefan Bischof: An Empirical Analysis of Semantic Techniques Applied to a Network Management Classification Problem. Web Intelligence 2012: 90-96- 2011
[c21]Aidan Boran, Ivan Bedini, Christopher J. Matheus, Peter F. Patel-Schneider, John Keeney: Choosing Between Axioms, Rules and Queries: Experiments in Semantic Integration Techniques. OWLED 2011
[c20]Aidan Boran, Ivan Bedini, Christopher J. Matheus, Peter F. Patel-Schneider, John Keeney: A Smart Campus Prototype for Demonstrating the Semantic Integration of Heterogeneous Data. RR 2011: 238-243
[c19]Ivan Bedini, Christopher J. Matheus, Peter F. Patel-Schneider, Aidan Boran, Benjamin Nguyen: Transforming XML Schema to OWL Using Patterns. ICSC 2011: 102-109
[c18]John Keeney, Aidan Boran, Ivan Bedini, Christopher J. Matheus, Peter F. Patel-Schneider: Approaches to Relating and Integrating Semantic Data from Heterogeneous Sources. Web Intelligence 2011: 170-177- 2010
[j7]Brian Ulicny, Mieczyslaw M. Kokar, Christopher J. Matheus: Metrics For Monitoring A Social-Political Blogosphere: A Malaysian Case Study. IEEE Internet Computing 14(2): 34-44 (2010)
2000 – 2009
- 2009
[j6]Mieczyslaw M. Kokar, Christopher J. Matheus, Kenneth Baclawski: Ontology-based situation awareness. Information Fusion 10(1): 83-98 (2009)- 2008
[c17]Christopher J. Matheus, Mieczyslaw M. Kokar, Robert Dionne: A Demonstration of Formal Policy Reasoning Using an Extended Version of BaseVISor. POLICY 2008: 225-227
[c16]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
[c15]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
[c14]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
[c13]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
[c12]Christopher J. Matheus: Position Paper: Using Ontology-based Rules for Situation Awareness and Information Fusion. Rule Languages for Interoperability 2005- 2004
[c11]
[c10]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- 2003
[c9]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
[c8]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
1990 – 1999
- 1999
[j5]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
[p2]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
[j4]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)
[c7]Gregory Piatetsky-Shapiro, Christopher J. Matheus: The Interingness of Deviations. KDD Workshop 1994: 25-36
[c6]Christopher J. Matheus, Gregory Piatetsky-Shapiro, Dwight McNeill: An Application of KEFM to the Analysis of Healthcare Information. KDD Workshop 1994: 441-452- 1993
[j3]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
[j2]William J. Frawley, Gregory Piatetsky-Shapiro, Christopher J. Matheus: Knowledge Discovery in Databases: An Overview. AI Magazine 13(3): 57-70 (1992)- 1991
[c5]
[c4]Richard S. Sutton, Christopher J. Matheus: Learning Polynomial Functions by Feature Construction. ML 1991: 208-212
[c3]Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus: Iterative Construction of Sparse Polynomial Approximations. NIPS 1991: 1064-1071
[p1]William J. Frawley, Gregory Piatetsky-Shapiro, Christopher J. Matheus: Knowledge Discovery in Databases: An Overview. Knowledge Discovery in Databases 1991: 1-30- 1990
[c2]Christopher J. Matheus: Adding Domain Knowledge to SBL Through Feature Construction. AAAI 1990: 803-808
1980 – 1989
- 1989
[c1]Christopher J. Matheus, Larry A. Rendell: Constructive Induction On Decision Trees. IJCAI 1989: 645-650- 1987
[j1]Christopher J. Matheus, William E. Hohensee: Learning in artificial neural systems. Computational Intelligence 3: 283-294 (1987)
Coauthor Index
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last updated on 2013-06-13 23:09 CEST by the dblp team



