Fraud Detection in Online Auctions
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Fraud Detection in Online Auctions
Summary
Fraud Detection in Online Auctions is a doctoral thesis[1].
Key Facts
- Fraud Detection in Online Auctions authored Sidney Tsang[2].
- Fraud Detection in Online Auctions's instance of is recorded as doctoral thesis[3].
- Fraud Detection in Online Auctions was published by ResearchSpace@Auckland[4].
- Fraud Detection in Online Auctions's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
- Fraud Detection in Online Auctions's country of origin is recorded as New Zealand[6].
- Fraud Detection in Online Auctions was released on 2014[7].
- Fraud Detection in Online Auctions's main subject is computer science[8].
- Fraud Detection in Online Auctions's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/25286[9].
- Fraud Detection in Online Auctions's title is recorded as Fraud Detection in Online Auctions[10].
- Fraud Detection in Online Auctions's copyright holder is recorded as Sidney Tsang[11].
- Fraud Detection in Online Auctions's thesis submitted to is recorded as University of Auckland[12].
- Fraud Detection in Online Auctions's on focus list of Wikimedia project is recorded as NZThesisProject[13].
- Fraud Detection in Online Auctions's copyright status is recorded as copyrighted[14].
- Fraud Detection in Online Auctions's online access status is recorded as open access[15].
- Fraud Detection in Online Auctions's thesis committee member is recorded as Gillian Dobbie[16].
- Fraud Detection in Online Auctions's thesis committee member is recorded as Yun Sing Koh[17].
- Fraud Detection in Online Auctions's thesis submitted for degree is recorded as Doctor of Philosophy[18].
Body
Designation and Status
Fraud Detection in Online Auctions's instance of is recorded as doctoral thesis[3].