The Mathematics of Information Coding, Extraction and Distribution.

Abstract

In the last decade, considerable engineering progress has been made in the technology of large-scale information systems. We are now at the point where ambitious deployments of global information networks are soon to be realized but serious problems remain in the areas of scalability, modeling and applications. The workshop on 'The Mathematics of Information Coding, Extraction and Distribution' brought together experts in various areas of mathematical and practical information theory and modeling to formulate the problems, explore new analytic methods and exchange ideas. We addressed applications areas such as data mining, compression, database theory and machine learning, with special attention to the interactions between these areas from the analytical and mathematical points of view. The workshop devoted half time to dissemination of new technical results and half time to the formulation of new paradigms and problems for future research. Proceeding of the workshop is under preparation and will appear in the IMA Volumes in Mathematics and its Applications Series to be published by Springer-Verlag, New York. Currently, submissions are being edited/refereed by George Cybenko, Dianne O'Leary, and Jorma Rissanen.

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Document Details

Document Type
Technical Report
Publication Date
Feb 14, 1997
Accession Number
ADA321389

Entities

People

  • Avner Friedman

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Data Mining
  • Engineering
  • Extraction
  • Information Systems
  • Information Theory
  • Machine Learning
  • Mathematics
  • New York
  • Workshops

Readers

  • Academic Conference Management
  • Calculus or Mathematical Analysis
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms