We see data mining powering recommendations, catching fraud, and speeding up scientific discovery, and we know it offers students plenty of doable, high‑impact paper ideas. We work as the TopicSuggestions team and, as practicing academic researchers, we treat data mining as the craft of extracting reliable patterns from large, messy data using statistics, machine learning, and domain knowledge while respecting constraints like privacy and fairness. Today we will share a concise set of original research paper topics that you can scope for a semester and justify with current literature and accessible datasets. We will group the list into foundations and evaluation, methods and optimization, applications in health/finance/social media/education/sustainability, and cross‑cutting concerns like data quality, bias, privacy, interpretability, and scalability. We will also note a suggested angle, candidate methods, and sample data sources for each topic so you can move from idea to outline fast.