Knowledge Discovery from Multi-Sourced Data

This book addresses several knowledge discovery problems on multi—sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used. This book mainly focuses on three data models: the multi—sourced isomorphic data, the multi—sourced heterogeneous data, and the text data. On the basis of three data models, this book studies the knowledge discovery problems including truth discovery and fact discovery on multi—source...