As an essential operation in data cleaning, the similarity join has attracted considerable
attention from the database community. In this paper, we study string similarity joins with edit …

There has been considerable interest in similarity join in the research community recently.
Similarity join is a fundamental operation in many application areas, such as data integration …

Similarity join is a useful primitive operation underlying many applications, such as near
duplicate Web page detection, data integration, and pattern recognition. Traditional similarity …

String similarity join that finds similar string pairs between two string sets is an essential
operation in many applications, and has attracted significant attention recently in the …

This paper presents a simple and efficient algorithm for approximate dictionary matching
designed for similarity measures such as cosine, Dice, Jaccard, and overlap coefficients. We …

Named entity recognition aims at extracting named entities from unstructured text. A recent
trend of named entity recognition is finding approximate matches in the text with respect to a …

Answering approximate queries on string collections is important in applications such as
data cleaning, query relaxation, and spell checking, where inconsistencies and errors exist …

Immersive videos allow users to freely explore 4 π steradian scenes within head-mounted
displays (HMD), leading to a strong feeling of immersion. However users may miss important …

Accurate selectivity estimation for string predicates is a long-standing research challenge in
databases. Supporting pattern matching on strings (such as prefix, substring, and suffix) …

Approximate queries on a collection of strings are important in many applications such as
record linkage, spell checking, and Web search, where inconsistencies and errors exist in …