Special Issue "Big Data Analytics, Privacy and Visualization"
Deadline for manuscript submissions: 31 March 2023 | Viewed by 18532
Interests: detection system; network security; intrusion detection system; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue in Sensors: Selected Papers from 6th International Conference on Sensors and Electronic Instrumentation Advances (SEIA’ 2020)
Special Issue in Big Data and Cognitive Computing: Big Data and Internet of Things
Special Issue in Sensors: Sensors and Measurement Systems for Industry 4.0 - Selected Papers from the 1st IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0 (ARCI' 2021)
Special Issue in IoT: Artificial Intelligence and IoNT for Multi-Disciplinary Applications
Special Issue in Symmetry: Symmetry in IoT and Cloud Infrastructure Development
Special Issue in Energies: Negawatt Trading in the Energy Market: Implementation Challenges and Prospects
Special Issue in Technologies: Mobile Computing, Wireless Networks & Security
Special Issue in Future Internet: Recent Advances in Cloud Computing Security
Special Issue in Future Internet: High Performance Computing for AI Applications
Special Issue in Future Internet: Edge AI: Applications of Edge Computing and Artificial Intelligence in IoT
Special Issue in Axioms: Machine Learning: Theory, Algorithms and Applications
Special Issue in Future Internet: Selected Papers from "31th FRUCT Conference: Call for Participation (FRUCT 2022)"
Special Issue in Future Internet: Context-Aware Computing, Learning, and Big Data in Internet of Things
Special Issue in Sensors: Latest Trend in Microwave Filters and Antennas for B5G Wireless Networks
Topics: Wireless Communications and Edge Computing in 6G
Interests: cloud computing; data mining; big data analytics; teaching & learning
2. Faculty of Engineering, Symbiosis International (Deemed University), Pune 411007, India
3. Symbiosis Centre for Applied AI (SCAAI), SIU, Pune 411007, India
Interests: artificial intelligence; machine learning; deep learning; multimodal AI; explainable AI
With new technologies, such as cloud computing, IoT, AI, and applications using social media, Business organizations are generating a huge volume of data. Most of the generated data is unstructured. Big data majorly described with volume, variety, and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments, organizations, communities to individual decision making. Effective Big data analytics will help business organizations discover insights from evidence. These insights are useful for computing efficiency, knowledge discovery, problem-solving, and event prediction/prescription. It also poses great challenges in terms of data, process, analytical modeling, and management for organizations to turn big data into big insight. The overall aim of this special issue is to collect state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data analytics for business intelligence. Proposed submissions should be original, unpublished, and novel in-depth research that makes significant methodological or application contributions. Potential topics of interest include, but are not limited to the following:
- Innovative methods for big data analytics
- Techniques for mining unstructured, spatial-temporal, streaming, and/or multimedia data
- Machine learning from big data
- Search and optimization for big data
- Parallel accelerated and distributed big data analytics
- Value and performance of big data analytics
- Data visualization
- Real-world applications of big data analytics, such as default detection, cybercrime, e- commerce, e-health, etc.
- Improving forecasting models using big data analytics
- Security and privacy in the big data era
- Online community and big data
Prof. Dr. Vijayakumar Varadarajan
Dr. Rajanikanth Aluvalu
Dr. Ketan Kotecha
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. Future Internet is an international peer-reviewed open access monthly 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 analytics
- machine learning
- data visualization
- online community
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Driving and Inhibiting Factors for implementing Audit Analytics Abstract: Audit Analytics (AA) is a new technology to improve internal audit function’s (IAF) effectiveness. However, despite its promises, AA implementation remains limited. This paper aims to assess the driving and inhibiting factors of AA adoption. For this purpose, we perform a systematic literature review. The initial search revealed 98 uniquely identified papers. Further filtering reduced the number to 29 articles that were analysed in detail. The analysis revealed 10 driving and 23 inhibiting factors, which were grouped into policy, organizational, audit practice, data, and infrastructure categories. The review shows that IAF encounters multiple and intertwined factors in AA adoption and needs to anticipate many pressures. Moreover, AA adoption affects IAF’s parts and stakeholders differently, requiring internal and external collaboration. Building on these insights, we provide recommendations for further research.