2025 · 7 articles
Original Research Pages 1–18
Air pollution is a significant problem for people's health and the environment in rapidly growing cities, where many sources of pollution are constantly changing. Traditional monitoring systems struggle to spot emerging pollution trends in real time because they take too long to...
Original Research Pages 19–41
The process of financial fraud detection is increasingly becoming dependent on intelligent systems that are capable of identifying delicate, complex, and dynamic fraudulent activities in the large transactions environments. Fraudulent transactions tend to constitute less than 1 p...
Original Research Pages 42–58
Identifying high-utility sequential patterns that accurately reflect customer preferences and cross-channel dynamics is becoming increasingly difficult as omni-channel retail grows rapidly and generates diverse, ever-changing transactional data. Conventional sequential pattern mi...
Original Research Pages 59–74
In personalized e-commerce recommendation systems, it's very hard to guess what the next click will be during an active user session because there are very few interactions (more than 90%), user intent changes frequently, and item-to-item relationships are complicated. In very fa...
Original Research Pages 75–90
Fast urbanization and the widespread use of location-aware electronics have generated large amounts of trajectory data from city transportation networks. Because of changing network topologies, complex spatial relationships, and movement patterns that happen at certain times, it...
Original Research Pages 91–106
As individuals are always changing, online social platforms can quickly create new communities and information cascades. Many apps depend on finding these occurrences early. Some of these are predicting trends, analyzing public opinion, targeted marketing, and stopping the spread...
Original Research Pages 107–123
As internet payment methods have evolved quickly, so have the number and complexity of fraudulent activities. This has made money transfers happen faster. Traditional fraud detection algorithms often have problems with extreme class imbalance, concept drift, and the need to make...
