主講人：國立高雄大學資工系 洪宗貝講座教授
演講主題：Integrating Different Approaches in Data Mining
演講摘要：
Data mining involves the discovery of meaningful rules and patterns from large datasets. Its importance has grown substantially in the era of big data, as it provides users with concise and relevant insights rather than overwhelming amounts of raw information. Meanwhile, other research areas—such as fuzzy sets, metaheuristics, and federated learning—have attracted significant attention in recent years for their ability to enhance the effectiveness and efficiency of computational systems, even when the resulting solutions are not strictly optimal. In this talk, I aim to integrate these techniques with data mining to address various types of mining problems. Specifically, I will introduce the concepts of fuzzy data mining, genetic fuzzy data mining, federated data mining, the duality of data mining, and several other intriguing topics that demonstrate how different methods can be combined to create more flexible and powerful mining frameworks.
時間：14時～16時
地點：理工二館三樓工四講堂
註：
1.本演講採實體演講方式進行，採中文演講。
2.本次活動可以認證跨域時數(報名連結)。電機系請登記在原系所的報名表(認專業時數)，其餘系所可認多元時數。
活動時數將於一周內入戶。
活動時數將於一周內入戶。
活動時數將於一周內入戶。