Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

DeepDyve requires Javascript to function. Please enable Javascript on your browser to continue.

Knowledge Discovery from Multi-Sourced Data

Part of the SpringerBriefs in Computer Science Book Series

DOI: 10.1007/978-981-19-1879-7

ISBN: 978-981-19-1878-0

Publisher: Springer Nature Singapore - Springer Journals

Jun 14, 2022

Available

Introduction

Ye, Chen; Wang, Hongzhi; Dai, Guojun

Pages: 1 –11

[In the age of information explosion, data has penetrated every aspect of our lives. Different data sources, such as social networks, sensing devices, and crowdsourcing platforms, constantly generate data. Even for the same object, various data sources provide its information. Intuitively,...
Available

Functional-Dependency-Based Truth Discovery for Isomorphic Data

Ye, Chen; Wang, Hongzhi; Dai, Guojun

Pages: 13 –31

[It is unavoidable that errors occur in databases. Reasons include recording errors, stale data, and even intentional errors. Such mistakes may cause serious consequences. It is impossible to correct those errors manually at scale. In fact, it is hard for people to even detect errors. However,...
Available

Denial-Constraint-Based Truth Discovery for Isomorphic Data

Ye, Chen; Wang, Hongzhi; Dai, Guojun

Pages: 33 –51

[Aggregating accurate information from multi-source conflicting data is crucial. A common approach to address this problem is Voting/Averaging. However, such methods usually fail to achieve correct results, since they assume that all the sources are equally reliable. In most cases, the...
Available

Pattern Discovery for Heterogeneous Data

Ye, Chen; Wang, Hongzhi; Dai, Guojun

Pages: 53 –67

[In the field of knowledge discovery for multi-source homogeneous data, for an entity, its correct value is found by resolving conflicts among multiple sources of information. However, due to missing values and inefficient entity matching, a single entity’s information is often insufficient in...
Available

Fact Discovery for Text Data

Ye, Chen; Wang, Hongzhi; Dai, Guojun

Pages: 69 –83

[Fact extraction, which aims to extract (entity, attribute, value)-tuples from massive text corpora, is crucial in text data mining. Recent approaches focus on extracting facts by mining textual patterns with semantic types, where the quality of a pattern is evaluated based on content-based...

results per page

Prev
1
Next

Browse All eBooks