Efficient joins to process stream data
2012 doctoral thesis by Muhammad Naeem at University of Auckland
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Efficient joins to process stream data
Summary
Efficient joins to process stream data is a doctoral thesis[1].
Key Facts
- Efficient joins to process stream data authored M Asif Naeem[2].
- Efficient joins to process stream data's instance of is recorded as doctoral thesis[3].
- Efficient joins to process stream data was published by ResearchSpace@Auckland[4].
- Efficient joins to process stream data's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
- Efficient joins to process stream data's country of origin is recorded as New Zealand[6].
- Efficient joins to process stream data was released on 2012[7].
- Efficient joins to process stream data's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/16925[8].
- Efficient joins to process stream data's title is recorded as Efficient joins to process stream data[9].
- Efficient joins to process stream data's copyright holder is recorded as M Asif Naeem[10].
- Efficient joins to process stream data's thesis submitted to is recorded as University of Auckland[11].
- Efficient joins to process stream data's on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Efficient joins to process stream data's copyright status is recorded as copyrighted[13].
- Efficient joins to process stream data's online access status is recorded as open access[14].
- Efficient joins to process stream data's thesis committee member is recorded as Gillian Dobbie[15].
- Efficient joins to process stream data's thesis committee member is recorded as Gerald Weber[16].
- Efficient joins to process stream data's thesis submitted for degree is recorded as Doctor of Philosophy[17].
Body
Designation and Status
Efficient joins to process stream data's instance of is recorded as doctoral thesis[3].