Journal Menu► ▼ Journal Menu
Journal Browser► ▼ Journal Browser
Special Issue "Data Analysis and Domain Knowledge"
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: closed (10 April 2023) | Viewed by 9169
Special Issue Editor
Interests: Data mining and KDD; applications of domain knowledge in KDD; association rules; GUHA method; observational calculi
Special Issue Information
Data analysis is one of the application areas of mathematics. Statistical hypothesis testing belongs to the first tasks of data analysis. The goal of exploratory data analysis is using data to suggest hypotheses to test. Data mining and knowledge discovery in data bases have brought new goals to data analysis—to find patterns hidden in given large data, which can be useful for data owners. Fast development of tools for generating and storing data has led to tremendous heterogeneous data sets to be analyzed.
It is thus becoming clearer that the domain knowledge, i.e., the knowledge of the field that the data belongs to, must be considered when analyzing data. The goal of this special issue is to present recent developments in applications of domain knowledge in data analysis. We are especially interested in papers describing tools for formalizations of items of domain knowledge such that the formalized items can be used to generate reasonable analytical questions solvable by available tools for data analysis. We are also interested in papers describing approaches when consequences of formalized items of domain knowledge are automatically filtered out from outputs of analytical procedures. Of course, any other interesting aspects of applications of domain knowledge in data analysis are welcomed.
Prof. Dr. Jan Rauch
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. Mathematics is an international peer-reviewed open access semimonthly 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 2100 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.
- exploratory data analysis
- data mining
- data science
- big data
- formalization of domain knowledge
- applications of domain knowledge