Mason Archival Repository Service

Evolutionary Machine Learning Framework for Big Data Sequence Mining

Show simple item record

dc.contributor.advisor De Jong, Kenneth A.
dc.contributor.author Kamath, Uday Krishna
dc.creator Kamath, Uday Krishna en_US
dc.date.accessioned 2014-09-18T01:56:56Z
dc.date.available 2014-09-18T01:56:56Z
dc.date.issued 2014-05 en_US
dc.identifier.uri https://hdl.handle.net/1920/8909
dc.description.abstract Sequence classification is an important problem in many real-world applications. Unlike
dc.format.extent 177 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 Uday Krishna Kamath en_US
dc.subject Computer science en_US
dc.subject Bioinformatics en_US
dc.subject Information science en_US
dc.subject Big Data en_US
dc.subject Bioinformatics en_US
dc.subject Classification en_US
dc.subject Feature Generation en_US
dc.subject Machine Learning en_US
dc.subject Sequence en_US
dc.title Evolutionary Machine Learning Framework for Big Data Sequence Mining en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Information Technology en
thesis.degree.grantor George Mason University en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics