Text similarity measurement is the basis of natural language processing tasks, which play an
important role in information retrieval, automatic question answering, machine translation …

This study surveys the increasing research field of performance measurement by making
use of a bibliometric literature analysis. We concentrate on two approaches, namely Data …

This is an overview of the end-to-end data cleaning process. Data quality is one of the most
important problems in data management, since dirty data often leads to inaccurate data …

The Volume of text resources have been increasing in digital libraries and internet.
Organizing these text documents has become a practical need. For organizing great number …

Measuring the similarity between words, sentences, paragraphs and documents is an
important component in various tasks such as information retrieval, document clustering …

This chapter provides an overview of the data matching process, and describes the five
major steps involved in this process: data pre-processing (cleaning and standardisation) …

Patching is a common activity in software development. It is generally performed on a source
code base to address bugs or add new functionalities. In this context, given the recurrence of …

Comparing text strings in terms of distance functions is a common and fundamental task in
many statistical text-processing applications. Thus far, string distance functionality has been …

Since most social science research relies on multiple data sources, merging data sets is an
essential part of researchers' workflow. Unfortunately, a unique identifier that unambiguously …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …