Evaluating spammer detection systems for Twitter
2017 master's thesis by Trung Minh Ho at Unitec Institute of Technology
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Evaluating spammer detection systems for Twitter
Summary
Evaluating spammer detection systems for Twitter is a master's thesis[1].
Key Facts
- Evaluating spammer detection systems for Twitter's instance of is recorded as master's thesis[2].
- Evaluating spammer detection systems for Twitter was published by Research Bank[3].
- Evaluating spammer detection systems for Twitter's language of work or name is recorded as English[4].
- Evaluating spammer detection systems for Twitter's country of origin is recorded as New Zealand[5].
- Evaluating spammer detection systems for Twitter was released on 2017[6].
- Evaluating spammer detection systems for Twitter's main subject is computer security[7].
- Evaluating spammer detection systems for Twitter's main subject is pattern recognition[8].
- Evaluating spammer detection systems for Twitter's main subject is X[9].
- Evaluating spammer detection systems for Twitter's main subject is machine learning[10].
- Evaluating spammer detection systems for Twitter's work available at URL is recorded as https://www.researchbank.ac.nz/handle/10652/4525[11].
- Evaluating spammer detection systems for Twitter's title is recorded as Evaluating spammer detection systems for Twitter[12].
- Evaluating spammer detection systems for Twitter's author name string is recorded as Trung Minh Ho[13].
- Evaluating spammer detection systems for Twitter's thesis submitted to is recorded as Unitec Institute of Technology[14].
- Evaluating spammer detection systems for Twitter's on focus list of Wikimedia project is recorded as NZThesisProject[15].
- Evaluating spammer detection systems for Twitter's copyright status is recorded as copyrighted[16].
- Evaluating spammer detection systems for Twitter's online access status is recorded as open access[17].
- Evaluating spammer detection systems for Twitter's thesis committee member is recorded as Veronica Liesaputra[18].
- Evaluating spammer detection systems for Twitter's thesis committee member is recorded as Mahsa Mohaghegh[19].
- Evaluating spammer detection systems for Twitter's thesis submitted for degree is recorded as Master of Computing[20].
Body
Designation and Status
Evaluating spammer detection systems for Twitter's instance of is recorded as master's thesis[2].