Start learning 50% faster. Sign in now
Cluster analysis is a powerful technique for fraud detection as it groups similar transactions together to identify outliers or anomalies. For instance, a sudden high-value transaction from a customer with a history of low spending could indicate potential fraud. By analyzing transaction clusters, financial institutions can identify patterns and detect unusual behavior, even in large datasets. This method is highly effective in differentiating genuine transactions from fraudulent ones without relying solely on predefined rules, making it adaptable to evolving fraud techniques. Why Other Options Are Incorrect: • B: Weather patterns have no relevance to online fraud detection. • C: Sentiment analysis focuses on opinions, not transactional behavior. • D: Historical comparisons may miss new types of fraud. • E: A/B testing is better suited for optimizing user experience, not fraud detection.
Professional communications are covered under which section of the Indian Evidence Act, 1872?
Which of the following is an objective of PMLA?
If an indorser signs and adds a direction to pay the amount mentioned in the instrument to, or to the order of, a specified person, the indorsement is s...
On the direction of State Government duty may be levied on excisable articles:
Giving shelter, food, clothing, etc. to evade arrest of person charged of an offence is an offence under the Indian Penal Code and it termed as :
Every suit shall be instituted by__________?
The Fund of the SEBI shall be applied for_______________________
The Codex Alimentarius is published in how many languages?
The Office of the Prime Minister of India has been created by:
According to section 98 of the IPC an act, which would otherwise be a certain offence, is not that offence, by reason of_______________