Data Quality Theory and Applications
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Databases and Data Structures".
Deadline for manuscript submissions: closed (30 March 2020) | Viewed by 5121
Special Issue Editor
Special Issue Information
Dear Colleagues,
Data quality is an ever-emerging topic in computer science that deals with measurement and improvement of the quality of data stored in databases. As techniques on data quality are being developed in the fields of databases, machine learning, and statistics, data quality is a part of computer science that certainly has a wide application range. With the increasing volumes of databases, the need for techniques that deal with data quality more efficiently is bigger than ever. Moreover, new database models are challenging us to find adapted techniques for data quality handling.
I invite you to submit high-quality papers to this Special Issue on “Data Quality” with subjects covering the entire range from theory to application. The following is a (non-exhaustive) list of topics of interests:
- Discovery of (Conditional) Functional Dependencies,
- Discovery of Denial Constraints,
- Edit rules for categorical and continuous data,
- Efficient solutions to the Error localization problem,
- Measurement procedures for data quality,
- Record linkage and data fusion,
- Imputation techniques,
- Uncertainty models related to quality of data,
- Techniques related to NoSQL databases, and
- Incremental approaches for the whole measurement process.
Dr. Antoon Bronselaer
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data quality measurement
- imputation
- edit rules
- dependencies
- efficient approaches
- NoSQL databases
