Nature-Inspired Computing and Metaheuristics Algorithms for Optimizing Data Mining Performance
超啟發式算法於優化數據挖掘計算性能 Nature-inspired computing and metaheuristics (NiCam) are gaining popularity in research community for their advantages...
Improving the Protein-Ligand Scoring Function for Molecular Docking by Fuzzy Rule-based Machine Lear
研究以機器學習技法以改善蛋白質與配體嵌合強度的評分函數 Protein–ligand docking is an essential step in modern drug discovery process. The challenge here is to...
Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest (iOVFDF)
非常快速及優化的決策森林用於時態數據流挖掘 (iOVFDF) iOVFDT (Incrementally Optimized Very Fast Decision Tree) is a new data stream mining model, that optimizes...
A Scalable Data Stream Mining Methodology: Stream-based Holistic Analytics and Reasoning in Parallel
可擴展的數據流挖掘方法:綜合分析和推理的並行計算 研究目標: The research target is to design and develop a data-stream-mining system, which is "holistic" meaning it...
Rare Event Forecasting and Monitoring in Spatial Wireless Sensor Network Data
The prediction of rare events is a challenging scientific problem. Events such as extreme meteorological conditions may aggravate human...
Adaptive OVFDT with Incremental Pruning and ROC Corrective Learning for Data Stream Mining
OVFDT (Optimized Very Fast Decision Tree) is a new classifier in data stream mining based on an incremental learning method called...
Resource Sharing with Privacy Management in Federated Online Communities
Virtual online communities used for a variety of social and professional groups have proliferated rapidly, offering plenty of...
Framework for Analysis and Visualization of Wikis
Large versioned text collections, primarily systems such as Wikis but also other hypermedia and collaborative authoring systems, have...