activity
20132020
most citedDetection of money laundering groups using supervised learning in networks

33 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2020★ 2 cited

Less is More: Rejecting Unreliable Reviews for Product Question Answering

Shiwei Zhang, Xiuzhen Zhang, Jey Han Lau +2

Promptly and accurately answering questions on products is important for e-commerce applications. Manually answering product questions (e.g. on community question answering platfor…

cs.SI2016★ 33 cited

Detection of money laundering groups using supervised learning in networks

David Savage, Qingmai Wang, Pauline Chou +2

Money laundering is a major global problem, enabling criminal organisations to hide their ill-gotten gains and to finance further operations. Prevention of money laundering is seen…

cs.SI2016★ 2 cited

Detection of opinion spam based on anomalous rating deviation

David Savage, Xiuzhen Zhang, Xinghuo Yu +2

The publication of fake reviews by parties with vested interests has become a severe problem for consumers who use online product reviews in their decision making. To counter this…

cs.SI2016★ 11 cited

Anomaly detection in online social networks

David Savage, Xiuzhen Zhang, Xinghuo Yu +2

Anomalies in online social networks can signify irregular, and often illegal behaviour. Anomalies in online social networks can signify irregular, and often illegal behaviour. Dete…

cs.DS2013★ 17 cited

ReputationPro: The Efficient Approaches to Contextual Transaction Trust Computation in E-Commerce Environments

Haibin Zhang, Yan Wang, Xiuzhen Zhang +1

In e-commerce environments, the trustworthiness of a seller is utterly important to potential buyers, especially when the seller is unknown to them. Most existing trust evaluation…