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Data feed management automation : an empirical approach

Abstract

dc:description.abstract

This thesis proposes a framework for automation of data feed management and control. The framework can be classified into two broad areas i) building an ontology for a feed system and ii) developing a test suite, that is, a set of statistical models to analyze and diagnose feeds and formalize the results to feedback into the ontology. This thesis concentrates more on the latter and will only outline the course of action required for the former. Detailed descriptions of the statistical models that are part of the test suite are given and their strengths and weaknesses discussed. Practical results of implementing the test suite on a data feed system are analyzed. Various open and unexplored areas, issues and concerns are also discussed.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Computer Science - (M.S.)
Discipline thesis:degree_discipline
Computer Science
Year
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Majumder, Dibyendu
Contributors dc:contributor
  • Narain Gehani
  • Tamraparni Dasu
  • Jon Wright

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/465
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1464

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Majumder, Dibyendu. Data feed management automation : an empirical approach. 2005. https://digitalcommons.njit.edu/theses/465