New Technologies for Data Mining and Data Analysis

Dear Colleagues,

The exponential growth of data has necessitated the development of specialized technologies for processing and analyzing massive datasets. Subsequently, in recent years, data mining and data analysis approaches have been the subject of significant advancements driven by emerging technologies that enhance processing capabilities, improve algorithmic efficiency, and enable the exploration of new types of data. The scope of new technologies for data mining/data analysis encompasses almost every industry and domain where data-driven insights are valuable for decision making, optimization, and innovation. As these technologies continue to evolve, their potential applications will expand, leading to further advancements and opportunities in various sectors. In this point of view, Electronics aims to dedicate a Special Issue on new technologies for data mining and data analysis, and researchers are warmly encouraged to submit papers on topics such as AI and ML models in complex patterns, prediction modeling, and automated decision making; big data processing technologies; cloud computing; edge computing, NLP; graph analytics; data visualization technologies; automated hybrid approaches, explainable AI in (e.g., business analytics, healthcare and medical research, fraud detection and risk management, social media analysis, Internet of Things (IoT) analytics, environmental analysis, cybersecurity, transportation and logistics, smart cities and urban planning.)

These new technologies can evolve to drive advancements in data mining and analysis, enabling organizations to extract valuable insights, make data-driven decisions, and gain a competitive edge in today's data-driven landscape.

Dr. Abbas Abbaszadeh Shahri
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. Electronics 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 2400 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.

• data mining approaches
• optimization techniques
• algorithm modifications
• real-time monitoring
• computer vision