Time Series Analysis and Data Analytics: Methods and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 55
Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on recent advances in the methods and applications used for time series analysis and data analytics, addressing the growing need to extract meaningful insights from complex, high-dimensional, and large-scale datasets. With the rapid development of data collection technologies across domains such as finance, environmental systems, healthcare, and smart infrastructure, there is increasing demand for robust mathematical frameworks and scalable computational approaches.
This Issue aims to collate contributions that develop novel methodologies in time series modeling, including statistical learning, deep learning architectures, and hybrid approaches. Emphasis is placed on handling challenges such as non-stationarity, high noise levels, missing data, and real-time data streams. In addition, submissions exploring theoretical foundations, algorithmic efficiency, and model interpretability are highly encouraged.
This Special Issue also welcomes interdisciplinary applications where time series and data analytics are used to support decision-making and predictive modeling in real-world systems. Contributions demonstrating practical implementation, validation on large datasets, and integration with emerging technologies will be particularly valuable.
Dr. Anli Ji
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized 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 2600 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
- time series analysis
- data analytics
- machine learning
- data-driven methods
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
