Capturing and Using Patterns for Evidence Detection
Papers from the 2006 AAAI Fall Symposium
Ken Murray and Ian Harrison, Program Cochairs
Technical Report FS-06-02
Published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Strategies for Hypothesis-Driven Recognition in Rule-Based Systems / 1
Benjamin P. Rode
Efficient Name Variation Detection / 8
Luther Karl Branting
Alias Detection in Malicious Environments / 14
Patrick Pantel
Scoring Hypotheses from Threat Detection Technologies / 21
Robert C. Schrag and Masami Takikawa
Scoring Alerts from Threat Detection Technologies / 29
Robert C. Schrag, Masami Takikawa, Paul Goger, and James Eilbert
A Position Paper: Value of Information for Evidence Detection / 37
David L. Roberts and Tina Eliassi-Rad
Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching / 45
Brian Gallagher
CADRE: A System for Reasoning over Very Large Datasets / 54
Daniel F. Bostwick, Daniel B. Hunter, and Nicholas J. Pioch
Key Elements of an Evidence Detection System / 62
Jimmy Wan, Melanie Moy, Tim Darr, Thayne Coffman, Jim Snyder, Morgan Hollinger, and Braxton Thomason
Using an Episodic Memory Module for Pattern Capture and Recognition / 68
Dan Tecuci and Bruce Porter
Flexible Semantic Matching for Link Analysis: A Proposal / 74
Peter Z. Yeh, Bruce Porter, and Ken Barker
Tracking Quantity Fluctuations Using STT / 77
Robert C. Kahlert, Ben Rode, David Baxter, Michael Witbrock, Ken Forbus, Larry Birnbaum, Purvesh Shah, Dave Schneider, Kathy Panton, Alan Belasco, and David Crabbe
Fast Abductive Reasoning over Ontologies / 85
Daniel M. Davenport and Ray Hill
Using Lightweight NLP and Semantic Modeling to Realize the Internet's Potential as a Corporate Radar / 91
Alex Kass and Christopher Cowell-Shah
Presentation of Information for Link Analysis / 99
Jerome Thomere and Michael Wolverton
Issues in Algorithm Characterization for Link Analysis / 105
Michael Wolverton, Ian Harrison, and David Martin
The NFL Coaching Network: Analysis of the Social Network among Professional Football Coaches / 112
Andrew Fast and David Jensen
Pattern Recognition for Cognitive Performance Modeling / 120
Craig Haimson and Stacy Lovell
Event Recognition in Airborne Motion Imagery / 127
J. B. Burns, Christopher I. Connolly, J. F. Thomere, and M. J. Wolverton
Organizing Data for Link Analysis / 134
Ted Senator and John Cheng