Data Analysis and Data Mining for Knowledge Discovery

Dear Colleagues,

As data continue to be a vital asset across industries, the ability to analyze and derive actionable insights from vast amounts of data is paramount. This Special Issue will cover a broad range of topics, including advanced data mining algorithms, big data analytics, machine learning, data visualization, text and web mining, real-world applications, and data privacy and security. This Special Issue seeks to gather high-quality, original research articles and reviews that contribute to the development of novel data analysis and data mining approaches, addressing current challenges and highlighting future directions.

The scope of the Special Issue includes, but is not limited to, the following:

• Advanced data mining algorithms: exploration of new algorithms and enhancements to existing methods for effective data mining.
• Big data analytics: techniques and tools for handling and analyzing large-scale data sets, including distributed computing and cloud-based solutions.
• Machine learning and artificial intelligence: integration of machine learning and AI in data analysis to improve predictive accuracy and decision making.
• Data visualization: innovative methods for visualizing complex data to enhance interpretability and insights.
• Text and web mining: approaches for extracting valuable information from unstructured text and web data.
• Applications of data mining: case studies and practical applications of data mining in various fields such as healthcare, finance, marketing, cybersecurity, and social sciences.
• Data privacy and security: strategies for ensuring data privacy and security in data mining processes.
• Emerging technologies: impact of emerging technologies such as blockchain, IoT, and edge computing on data analysis and mining.

Prof. Dr. Nadia Nedjah
Prof. Dr. Luiza de Macedo Mourelle
Guest Editors

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-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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.