Special Issue "Advances in Applications of Intelligently Mining Massive Data"
Deadline for manuscript submissions: 30 November 2021.
Today’s highly digitized and interconnected world generates almost unmanageable amounts data – scientific, medical, financial, as well as other kinds of data. This explosive growth in data has generated an urgent need for intelligent data mining techniques and tools that can assist in capturing, storing, and analyzing these data and transforming this massive amount of data into useful information and knowledge. Data mining as well as machine learning techniques have to be applied in a fresh light to analyze (summarize, classify, discover new trends and anomalies) these massive datasets. This Special Issue aims to report on the recent advances and new trends being applied to intelligently mining massive datasets in any field, and welcomes original research, short communications, and review papers.
Topics of interest include, but are not limited to:
- Data Capture and Storage
- Data Preprocessing
- Dimensionality Reduction
- Data Visualization
- Mining Frequent Patterns
- Mining Data Streams, Time Series, and Sequence Data
- Mining Social Networking Graphs
- Multirelational Data Mining
- Large-Scale Machine Learning
- Large-Scale Deep Learning
- Big Data Technologies for Mining Massive Data
- Architectures for Large-Scale Parallel Processing
- Intelligent Data Mining Tools and Techniques
- Data Mining, Privacy, and Data Security
Dr. Sikha Bagui
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 papers will be 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. Technologies is an international peer-reviewed open access quarterly 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 1400 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.
- big data mining
- data science
- machine learning
- deep learning
- intelligent data mining tools
- large scale parallel processing