DeAI Research
Source · International Conference on Information Systems and Technologies (ICIST)

Datafusion

2018Alaa H. Ahmed; Fereidoon Sadri

cid 6fd50ae2080828e3ec22b4d059023fbb9fd27e36bb0ce895ca9b5b71edcebd4f · original · via openalex

Title: Datafusion
Authors: Alaa H. Ahmed; Fereidoon Sadri
Venue: International Conference on Information Systems and Technologies (ICIST)
Year: 2018
Canonical: doi:10.1145/3200842.3200854
URL: https://doi.org/10.1145/3200842.3200854
Collector: openalex
OA: false

ABSTRACT
Data fusion is a form of information integration where large amounts of data mined from sources such as web sites, Twitter feeds, Facebook postings, blogs, email messages, news streams, and the like are integrated. Such data is inherently uncertain and unreliable. The sources have different degrees of accuracy and the data mining process itself incurs additional uncertainty. The main goal of data fusion is to discover the correct data among the uncertain and possibly conflicting mined data.