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SP--NASA AMES OFFERS DATA MINING TECHNOLOGY

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NASA-SNOTE-020108-001Federal

Contract Overview

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AI Contract Overview

NASA Ames Research Center is hosting a special briefing to introduce PERILOG, its newest patent-pending data mining technology, which is available for licensing to firms interested in enhancing their software solutions. PERILOG is designed to extract contextually relevant data by analyzing the degree of association between large numbers of term pairs in text or other sequences, producing models that capture structural relationships. The technology statistically compares these models against a query model to generate ranked search results, and provides users with advanced query tools capable of automatically generating search options. The licensing event is scheduled for Tuesday, January 29, 2002, from 10 a.m. to noon at the NASA Ames Research Center in Moffett Field, California, and will include a light lunch. Interested parties are encouraged to register online and can obtain further information by contacting Patrick Hung. This opportunity enables organizations to incorporate cutting-edge data mining capabilities into their software products through licensing PERILOG.

General Info

NASA Ames hosts January 29 briefing to license PERILOG, a patent-pending advanced data mining technology.

Agency

N/A

NAICS

519290 - Web Search Portals and All Other Information Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

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Timeline

PostedJan 8

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Organization & Contact Information

AgencyN/A

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Organization / Agency

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Full Description

A special briefing to introduce you to NASA's newest patent-pending data mining technology is being held at NASA Ames Research Center. The briefing is an opportunity for your firm to license PERILOG, and leverage its powerful capabilities for your software solutions products. Product Profile: PERILOG unearths data that is contextually relevant to the subject being investigated. The software measures the degree of contextual association for large numbers of terms pairs in text (or any other sequence) to produce models that capture the structure of the text. PERILOG statistically compares these models to measure their degree of similarity to a query model, develops a ranking, and presents the search results to the user. Furthermore, the user has access to powerful query tools that, for example, generate search options automatically. The licensing event will be held at the NASA Ames Research Center, Moffett Field, California, on Tuesday, January 29, 2002, from 10 a.m. to noon and will include a light lunch. Please register on-line at http://ettc.usc.edu/ames/perilog/homepage.html For additional information, please contact Patrick Hung at +1 (555) 000-0000.

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