Chance Discovery with Data Crystallization: Discovering Unobservable Events

Abstract

The method of data crystallizing reveals the hidden structure by inserting dummy items corresponding to unobservable, i.e., hidden events, to the given incomplete and ill-structured data on past events. The existence of those hidden events and their location in the environment were visualized as a result of data crystallization. The method was evaluated by applying to 1) the simulated data using the 9/11 terrorist network and 2) test data provided by Dr. Bob Schrag via. It was further applied to two real-business domains: 1) redesigning surface inspection system (SIS), and 2) extracting the essence of flow of arguments in the negotiation logs for hypothetical two companies with respect to three business proposals.

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Document Details

Document Type
Technical Report
Publication Date
Nov 19, 2007
Accession Number
ADA474758

Entities

People

  • Katsumi Nitta

Organizations

  • Tokyo Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Commerce
  • Computer Science
  • Crystallization
  • Data Mining
  • Data Science
  • Environment
  • Information Science
  • Machine Learning
  • Negotiations
  • Network Science
  • Social Networks
  • Social Sciences
  • Systems Engineering
  • Systems Science
  • Terrorists

Readers

  • Materials Science and Engineering.
  • Military History
  • Systems Analysis and Design