DISCOVERY AND FUSION OF UNCERTAIN KNOWLEDGE IN DATA
暫譯: 數據中不確定知識的發現與融合

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.

This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.

Readership: Graduate students, researchers and professionals in the field of artificial intelligence/machine learning and information sciences, especially in databases.