Knowledge Discovery From Multi-sourced Data - Chen Ye

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-sourced Data From Four Important Properties: Relevance, Inconsistency, Sparseness, And Heterogeneity, Which Is Useful For Specialists As Well As Graduate Students.