Paper
18 February 1997 Timeline analysis tools for law enforcement
John Mucks
Author Affiliations +
Proceedings Volume 2938, Command, Control, Communications, and Intelligence Systems for Law Enforcement; (1997) https://doi.org/10.1117/12.266723
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States
Abstract
The timeline analysis system (TAS) was developed by Rome Laboratory to assist intelligence analysts with the comprehension of large amounts of information. Under the TAS program data visualization, manipulation and reasoning tools were developed in close coordination with end users. The initial TAS prototype was developed for foreign command and control analysts at Space Command in Colorado Springs and was fielded there in 1989. The TAS prototype replaced manual paper timeline maintenance and analysis techniques and has become an integral part of Space Command's information infrastructure. TAS was designed to be domain independent and has been tailored and proliferated to a number of other users. The TAS program continues to evolve because of strong user support. User funded enhancements and Rome Lab funded technology upgrades have significantly enhanced TAS over the years and will continue to do so for the foreseeable future. TAS was recently provided to the New York State Police (NYSP) for evaluation using actual case data. Timeline analysis it turns out is a popular methodology used in law enforcement. The evaluation has led to a more comprehensive application and evaluation project sponsored by the National Institute of Justice (NIJ). This paper describes the capabilities of TAS, results of the initial NYSP evaluation and the plan for a more comprehensive NYSP evaluation.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Mucks "Timeline analysis tools for law enforcement", Proc. SPIE 2938, Command, Control, Communications, and Intelligence Systems for Law Enforcement, (18 February 1997); https://doi.org/10.1117/12.266723
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KEYWORDS
Data modeling

Prototyping

Associative arrays

Data visualization

Machine learning

Process modeling

Visualization

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