Heterogeneous Computing for Data Stream Mining
2016 master's thesis by Vladimir Petko at University of Waikato
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Heterogeneous Computing for Data Stream Mining
Summary
Heterogeneous Computing for Data Stream Mining is a master's thesis[1].
Key Facts
- Heterogeneous Computing for Data Stream Mining's instance of is recorded as master's thesis[2].
- Heterogeneous Computing for Data Stream Mining's publisher is recorded as Waikato Research Commons[3].
- Heterogeneous Computing for Data Stream Mining's place of publication is recorded as Hamilton[4].
- Heterogeneous Computing for Data Stream Mining's language of work or name is recorded as English[5].
- Heterogeneous Computing for Data Stream Mining's country of origin is recorded as New Zealand[6].
- Heterogeneous Computing for Data Stream Mining's publication date is recorded as +2016-00-00T00:00:00Z[7].
- Heterogeneous Computing for Data Stream Mining's main subject is recorded as data stream mining[8].
- Heterogeneous Computing for Data Stream Mining's main subject is recorded as k-nearest neighbors algorithm[9].
- Heterogeneous Computing for Data Stream Mining's main subject is recorded as k-d tree[10].
- Heterogeneous Computing for Data Stream Mining's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/10524[11].
- Heterogeneous Computing for Data Stream Mining's Handle ID is recorded as 10289/10524[12].
- Heterogeneous Computing for Data Stream Mining's title is recorded as Heterogeneous Computing for Data Stream Mining[13].
- Heterogeneous Computing for Data Stream Mining's author name string is recorded as Vladimir Petko[14].
- Heterogeneous Computing for Data Stream Mining's thesis submitted to is recorded as University of Waikato[15].
- Heterogeneous Computing for Data Stream Mining's on focus list of Wikimedia project is recorded as NZThesisProject[16].
- Heterogeneous Computing for Data Stream Mining's copyright status is recorded as copyrighted[17].
- Heterogeneous Computing for Data Stream Mining's online access status is recorded as open access[18].
- Heterogeneous Computing for Data Stream Mining's thesis committee member is recorded as Bernhard Pfahringer[19].
Body
Designation and Status
Heterogeneous Computing for Data Stream Mining's instance of is recorded as master's thesis[2].