@article {1973206,
	title = {Using Importance Flooding to Identify Interesting Networks of Criminal Activity},
	journal = {Journal of the Association for Information Science and Technology},
	volume = {59},
	year = {2008},
	month = {2008},
	pages = {2099-2114},
	abstract = {Cross-jurisdictional law enforcement data sharing and analysis is of vital importance because law breakers regularly operate in multiple jurisdictions. Agencies continue to invest massive resources in various sharing initiatives despite several high-profile failures. Key difficulties include: privacy concerns, administrative issues, differences in data representation, and a need for better analysis tools. This work presents a methodology for sharing and analyzing investigation-relevant data and is potentially useful across large cross-jurisdictional data sets. The approach promises to allow crime analysts to use their time more effectively when creating link charts and performing similar analysis tasks. Many potential privacy and security pitfalls are avoided by reducing shared data requirements to labeled relationships between entities. Our importance flooding algorithm helps extract interesting networks of relationships from existing law enforcement records using user-controlled investigation heuristics, spreading activation, and path-based interestingness rules. In our experiments, several variations of the importance flooding approach outperformed relationship-weight-only methods in matching expert-selected associations. We find that accuracy in not substantially affected by reasonable variations in algorithm parameters and demonstrate that user feedback and additional, case-specific information can be usefully added to the computational model.},
	keywords = {Accounting, BIS},
	url = {http://people.oregonstate.edu/~marshaby/Papers/Marshall_JASIST_ImportanceFlooding_PrePrint.pdf},
	author = {Marshall,Byron and Chen,Hsinchun and Kaza,Siddharth}
}
@article {1973211,
	title = {User-Centered Evaluation of Arizona BioPathway: An Information Extraction, Integration, and Visualization System},
	journal = {IEEE Transactions on Information Technology in Biomedicine},
	volume = {11},
	year = {2007},
	month = {2007},
	pages = {527-536},
	abstract = {Explosive growth in biomedical research has made automated information extraction, knowledge integration, and visualization increasingly important and critically needed. The Arizona BioPathway (ABP) system extracts and displays biological regulatory pathway information from the abstracts of journal articles. This study uses relations extracted from more than 200 PubMed abstracts presented in a tabular and graphical user interface with built-in search and aggregation functionality. This article presents a task-centered assessment of the usefulness and usability of the ABP system focusing on its relation aggregation and visualization functionalities. Results suggest that our graph-based visualization is more efficient in supporting pathway analysis tasks and is perceived as more useful and easier to use as compared to a text-based literature viewing method. Relation aggregation significantly contributes to knowledge acquisition efficiency. Together, the graphic and tabular views in the ABP Visualizer provide a flexible and effective interface for pathway relation browsing and analysis. Our study contributes to pathway-related research and biological information extraction by assessing the value of a multi-view, relation-based interface which supports user-controlled exploration of pathway information across multiple granularities.},
	keywords = {Accounting, BIS},
	url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4300830\&arnumber=4300844\&count=17\&index=5},
	author = {Qui{\~n}ones,Karin  D. and Su,Hua and Marshall,Byron and Eggers,Shauna and Chen,Hsinchun}
}
@conference {1984601,
	title = {Using Importance Flooding to Identify Interesting Networks of Criminal Activity},
	booktitle = {Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI-2006), IEEE},
	year = {2006},
	month = {2006},
	address = {San Diego, CA},
	keywords = {Accounting, BIS},
	url = {http://people.oregonstate.edu/~marshaby/Papers/Marshall_ISI_2006.pdf},
	author = {Marshall,Byron and Chen,Hsinchun}
}
