Masters Theses

Title

Identification of character non-independence in phylogenetic data using data mining and neural network techniques

Keywords and Phrases

Hartigan statistic

Abstract

"Difficult problems force innovative approaches and attention to detail, and their pursuit often results in contributions beyond the initial scope. This thesis investigates the data mining process resulting from examining the hypothesis of character non-independence in phylogenetic analyses. Phylogenetics is the study of identifying and classifying evolutionary relationships of organisms and plays an important role in the organization of biological data at levels ranging from molecules to ecosystems. It forms the basis of many biological research questions; hence, highly accurate estimates of evolutionary history are fundamentally important to most biological applications"--Abstract, leaf iv.

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

University of Missouri--Rolla

Publication Date

Fall 2004

Journal article titles appearing in thesis/dissertation

  • Identifying character non-independence in phylogenetic data using data mining techniques
  • Self-organizing maps: identifying character non-independence in phylogenetic data

Pagination

x, 72 leaves

Rights

© 2004 Venkat Ram Ghatti, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Self-organizing systems
Data mining
Phylogeny

Thesis Number

T 8696

Print OCLC #

62315217

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b5407847~S5

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