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  2. Crime in Singapore - Wikipedia

    en.wikipedia.org/wiki/Crime_in_Singapore

    The Singapore Police has taken action against transnational crime syndicates on its own or in combined operations with the Royal Malaysia Police: Thirteen transnational scam syndicates with the arrest of more than seventy persons (2022). [61] Home rental scams that incurred $1.3 million losses from 480 victims (2023). [63]

  3. 2024 in Singapore - Wikipedia

    en.wikipedia.org/wiki/2024_in_Singapore

    2 April – Joseph Schooling, who won Singapore's first ever Olympic gold medal, retires from swimming at 28. [25]15 April – Lee Hsien Loong announces his resignation as the Prime Minister of Singapore effective on 15 May 2024, paving the way for the assumption of Deputy Prime Minister and Finance Minister Lawrence Wong as the next Prime Minister of Singapore.

  4. Category:2024 in Singapore by month - Wikipedia

    en.wikipedia.org/wiki/Category:2024_in_Singapore...

    This page was last edited on 6 February 2025, at 16:32 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.

  5. Category:2024 events in Singapore by month - Wikipedia

    en.wikipedia.org/wiki/Category:2024_events_in...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  6. List of scams - Wikipedia

    en.wikipedia.org/wiki/List_of_scams

    Scams and confidence tricks are difficult to classify, because they change often and often contain elements of more than one type. Throughout this list, the perpetrator of the confidence trick is called the "con artist" or simply "artist", and the intended victim is the "mark".

  7. IRAS warns of tax discrepancy scam email with phishing link - AOL

    www.aol.com/news/singapores-iras-tax-discrepancy...

    IRAS warns recipients against providing their personal details in response to a scam email about income tax returns.

  8. Corruption in Singapore - Wikipedia

    en.wikipedia.org/wiki/Corruption_in_Singapore

    According to a Transparency International survey, an overwhelming majority of people in Singapore view cases of corruption by public officials or institutions as an extremely rare occurrence. In 2020, Singapore's public sector was ranked by Transparency International as the fourth least corrupt in the world and the most transparent in Asia. [2]

  9. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    In supervised learning, a random sub-sample of all records is taken and manually classified as either 'fraudulent' or 'non-fraudulent' (task can be decomposed on more classes to meet algorithm requirements). Relatively rare events such as fraud may need to be over sampled to get a big enough sample size. [10]