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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 mult...

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Bibliographic Details
Main Authors: Ye, Chen, Wang, Hongzhi (Author), Dai, Guojun (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2022, 2022
Edition:1st ed. 2022
Series:SpringerBriefs in Computer Science
Subjects:
Artificial Intelligence / Data Processing
Database Management
Data Mining
Data Mining And Knowledge Discovery
Data Science
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1. Introduction
  • 2. Functional-dependency-based truth discovery for isomorphic data
  • 3. Denial-constraint-based truth discovery for isomorphic data
  • 4. Pattern discovery for heterogeneous data
  • 5. Deep fact discovery for text data

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