Carnegie Mellon University
Browse

Hypothesis Formation and Tracking in ARGUS

Download (82.66 kB)
journal contribution
posted on 2004-01-01, 00:00 authored by B. Cenk Gazen, Jaime G. Carbonell, Philip J. Hayes, Chun Jin, Eugene Fink

New Hypothesis formation may be an analyst-initiated activity, an automated process whereby a novel trend is discovered and tracked, or a hybrid one.  In the hybrid case, the system offers its discovery of novel, potentially interesting patterns for analyst review, leading to new hypothesis being formed and tracked, or to discarding the novelty as coincidental or uninteresting.  The ARGUS project assumes the third paradigm, where a combination of analysis of massive data – both historical and real-time streams – leads to automated creation of potential hypothesis for analysts to consider, discard, embellish, combine, and/or instruct ARGUS to track as a new persistent interest profile. 

History

Publisher Statement

All Rights Reserved

Date

2004-01-01

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC