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Academic Journal
BIS

“Using Importance Flooding to Identify Interesting Networks of Criminal Activity”

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.
Details

2099-2114 pages 2008 Journal of the Association for Information Science and Technology Byron Marshall Hsinchun Chen Siddharth Kaza View on: Google Scholar

Conference
BIS

“Visualizing Aggregated Biological Pathway Relations”

The Genescene development team has constructed an aggregation interface for automatically-extracted biomedical pathway
relations that is intended to help researchers identify and process relevant information from the vast digital library of abstracts found in the National Library of Medicine’s PubMed collection.
Users view extracted relations at various levels of relational granularity in an interactive and visual node-link interface. Anecdotal feedback reported here suggests that this multigranular visual paradigm aligns well with various research tasks,
helping users find relevant articles and discover new information.
Details

2005 Proceedings of the 2005 Joint ACM/IEEE Conference on Digital Libraries (JCDL 2005), June 7-11, 2005 , Denver, CO Byron Marshall Karin Quinones Hua Su Shauna Eggers Hsinchun Chen View on: Google Scholar

Academic Journal
BIS

“Visualizing Basic Accounting Flows: Does XBRL + Model + Animation = Understanding?”

The usefulness of XBRL (eXtensible Business Reporting Language) in facilitating efficient data sharing is clear, but widespread use of XBRL also promises to support more effective analysis processes. This format should allow managers, investors, regulators, and students to aggregate, compare and analyze financial information. This study explores an XBRL-based visualization tool that maps the organization of financial statements captured in the XBRL formalism into a graphical representation that organizes, depicts, and animates financial data. We show that our tool integrates and presents profitability, liquidity, financing, and market value data in a manner recognizable to business students. Our findings suggest the promise of XBRL-based visualization tools both in helping students grasp basic accounting concepts and in facilitating financial analysis in general.
Details

27-54 pages 2010 Byron Marshall Kristian Mortenson Amy Bourne Kevin Price View on: Google Scholar

Conference
BIS

“Visualizing basic accounting flows: does XBRL + model + animation = understanding?”

The usefulness of XBRL (eXtensible Business Reporting Language) in facilitating efficient data sharing is clear, but widespread use of XBRL also promises to support more effective analysis processes. Representing traditional financial statements in this electronic and interoperable format should allow managers, investors, regulators, and importantly students to aggregate, compare and analyze financial information. Processing such data requires an understanding of the underlying paradigms embedded in consolidated sets of financial statements. This work explores the feasibility and effectiveness of an XBRL-based visualization tool, presenting an organizational framework, mapping that framework to financial statements and the XBRL formalism, and demonstrating a visual representation that organizes, depicts, and animates financial data. We show that our tool integrates and presents profitability, liquidity, financing, and market value data in a manner recognizable to business students in introductory financial accounting classes. This preliminary finding suggests the promise of XBRL-based visualization tools both in helping students grasp basic accounting concepts and in facilitating financial analysis in general.
Details

2009 American Accounting Association 18th Annual Strategic and Emerging Technologies Research Workshop Byron Marshall Kristian Mortenson Amy Bourne Kevin Price Andrew Marshall

Academic Journal
BIS

“What Do They Know About Me In The Cloud? A Comparative Law Perspective On Protecting the Privacy and Security of Sensitive Consumer Data”

How much does the cloud know about us? Should we care? In cloud computing, sensitive personal data flows in a global network of internet connected computers, creating attractive targets for hackers, challenging law enforcement and raising concerns about government surveillance. From an information privacy perspective, this article discusses how well the management information systems practices and laws in the United States and Europe protect the privacy and security of sensitive consumer data in the cloud. It examines policies and proposed regulations and makes suggestions for legal reforms in both jurisdictions to protect the privacy and security of sensitive information.
Details

413-482 pages 2013 Nancy King VT Raja View on: Google Scholar

Conference
BIS

“World vs. Method: Educational Standard Formulation Impacts Document Retrieval”

Although initiatives are underway in the educational community to consolidate disparate collections of educational standards, little has been done to explore the impact of educational standard formulation on information retrieval. Recent research contrasts two categories of educational standards: ‘World’ (topical domain-related concepts) and ‘Method’ (investigative and epistemological principles). This paper explores the information retrieval implications of the World vs. Method distinction. We find that experts are more likely to agree about which educational resources align with a Method standard but that a typical automatic standard assignment tool is more likely to assign a World standard to an educational resource. Further, a text-based information retrieval system is more likely to be accurate in retrieving documents relevant to a World standard as compared to a Method standard. These findings have implications both for educational standard formulation (combining World and Method components in a standard may improve retrieval) and for digital library builders who want to help teachers identify useful, standards-aligned learning objects.
Details

2011 Proceedings of the Joint Conference on Digital Libraries (JCDL'11),Ottawa, Canada. Byron Marshall Rene Reitsma View on: Google Scholar