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Southern Illinois University

MACHINE LEARNING ALGORITHM PERFORMANCE OPTIMIZATION: SOLVING ISSUES OF BIG DATA ANALYSIS

Abstract

dc:description.abstract

Because of high complexity of time and space, generating machine learning models for big data is difficult. This research is introducing a novel approach to optimize the performance of learning algorithms with a particular focus on big data manipulation. To implement this method a machine learning platform using eighteen machine learning algorithms is implemented. This platform is tested using four different use cases and result is illustrated and analyzed.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
Campus Only Dissertation
Discipline thesis:degree_discipline
Computer Science
Year
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sohangir, Soroosh
Contributors dc:contributor
  • Mogharreban, Namdar

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://opensiuc.lib.siu.edu/dissertations/1111
OAI identifier oai:identifier
oai:opensiuc.lib.siu.edu:dissertations-2115

Chain of custody

source
Harvested from
Southern Illinois University
Base URL
opensiuc.lib.siu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Sohangir, Soroosh. MACHINE LEARNING ALGORITHM PERFORMANCE OPTIMIZATION: SOLVING ISSUES OF BIG DATA ANALYSIS. Campus Only Dissertation thesis, 2015. https://opensiuc.lib.siu.edu/dissertations/1111