ThemeRiver: Visualizing Thematic Changes in Large Document Collections
IEEE Transactions on Visualization and Computer Graphics
Greedy approximation algorithms for finding dense components in a graph
APPROX '00 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Graph-based technologies for intelligence analysis
Communications of the ACM - Homeland security
A graph-theoretic approach to extract storylines from search results
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Information Fusion for Intelligence Analysis
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Model-guided information discovery for intelligence analysis
Proceedings of the 14th ACM international conference on Information and knowledge management
Supporting insight-based information exploration in intelligence analysis
Communications of the ACM - Supporting exploratory search
Extracting meaningful entities from police narrative reports
dg.o '02 Proceedings of the 2002 annual national conference on Digital government research
Intelligence Analysis Modeling
ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01
NetLens: iterative exploration of content-actor network data
Information Visualization
A multi-agent system of evidential reasoning for intelligence analyses
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
IEEE Transactions on Knowledge and Data Engineering
Palantir: a framework for collaborative incident response and investigation
Proceedings of the 8th Symposium on Identity and Trust on the Internet
Intelligence Analysis Using Titan
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Principles and Tools for Collaborative Entity-Based Intelligence Analysis
IEEE Transactions on Visualization and Computer Graphics
Using support vector machines for terrorism information extraction
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Criminal incident data association using the OLAP technology
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Fuzzy association rule mining for community crime pattern discovery
ACM SIGKDD Workshop on Intelligence and Security Informatics
Applying interestingness measures to Ansar forum texts
ACM SIGKDD Workshop on Intelligence and Security Informatics
Tell me what i need to know: succinctly summarizing data with itemsets
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Entity workspace: an evidence file that aids memory, inference, and reading
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
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The "where do I start?" problem is a veritable one in intelligence analysis. We identify several classes of algorithmic strategies that can supply starting points to analysts in their exploration of a document collection. We present nine methods with origins in association analysis, graph metrics, and probabilistic modeling, and systematically evaluate them over multiple document collections. One of these methods, a novel approach to modeling "surprise", is our specific contribution and, further, supports the iterative refinement of suggestions based on user feedback. We demonstrate how these methods guide the analysts to start their investigation on intelligence document collections. Our results reveal selective superiorities of the algorithmic strategies and lead to several design recommendations for creating document exploration capabilities.