journal of big data

California Privacy Statement, Beyond any doubt data analytics has become an integral part of and is integrating information and management sciences. The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. Call for papers: Advanced bio-inspired deep learning algorithms for multi-modal perceptual big data analysis in car-driver assistance systems, Flight delay prediction based on deep learning and Levenberg-Marquart algorithm, Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset, A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data, Big data actionable intelligence architecture, Automatic LIDAR building segmentation based on DGCNN and euclidean clustering, Deep learning applications and challenges in big data analytics, A survey on Image Data Augmentation for Deep Learning, Sentiment analysis using product review data, Big data in healthcare: management, analysis and future prospects, Sign up for article alerts and news from this journal, Source Normalized Impact per Paper (SNIP). Using … Editor-in-Chief: Zoran Obradovic, PhD. Help expand a public dataset of research that support the SDGs. Journal of Big Data. The Advisory Board of this Journal will follow a blind peer review process after completing technical checks of the quality of paper, ethical procedures, and so on. To decline or learn more, visit our Cookies page. The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. Big Data is the term used for larger data sets that are very complex and not easily processed by the traditional devices. The views, opinions, findings, conclusions and recommendations set forth in any Journal article are solely those of the authors of those articles and do not necessarily reflect the views, policy or position of the Journal, its Publisher, its editorial staff or any affiliated Societies and should not be attributed to … Please click here for more information on our author services . By using this website, you agree to our The thematic series will look at  approaches to car-driver assistance systems that make use of sophisticated bio-inspired algorithms and modern deep learning approaches. Manage cookies/Do not sell my data we use in the preference centre. Elsevier stands against racism and discrimination and fully supports the joint commitment for action in inclusion and diversity in publishing. Careers - Terms and Conditions - Privacy Policy. Access to society journal content varies across our titles. Search. We are pleased to announce that Journal of Big Data is now included in the Emerging Sources Citation Index (ESCI). Your datasets will also be searchable on Mendeley Data Search, which includes nearly 11 million indexed datasets. All articles published after January 1, 2018 will be included in the database, and will therefore be searchable in Web of Science. In partnership with the communities we serve; we redouble our deep commitment to inclusion and diversity within our editorial, author and reviewer networks. For more information, visit. Choice. Springer Nature. About this journal. If you require any further information or help, please visit our Support Center. 1 2 Data come from the internet, social media, medical records, customer databases, massive open data and other data sources. The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. Browse all articles of Big Data & Society. You’re seeing our new journal sites and we’d like your opinion, please send feedback. Part of Authors: Maryam Farshchian Yazdi, Seyed Reza Kamel, Seyyed Javad Mahdavi Chabok and Maryam Kheirabadi, Authors: Sydney M. Kasongo and Yanxia Sun, Authors: Joffrey L. Leevy and Taghi M. Khoshgoftaar, Authors: Tian J. Ma, Rudy J. Garcia, Forest Danford, Laura Patrizi, Jennifer Galasso and Jason Loyd, Authors: Ahmad Gamal, Ari Wibisono, Satrio Bagus Wicaksono, Muhammad Alvin Abyan, Nur Hamid, Hanif Arif Wisesa, Wisnu Jatmiko and Ronny Ardhianto, Authors: Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald and Edin Muharemagic, Authors: Connor Shorten and Taghi M. Khoshgoftaar, Authors: Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma and Sandeep Kaushik, Authors: Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao and Athanasios V. Vasilakos, Speed40.7 days to first decision for reviewed manuscripts only40.3 days to first decision for all manuscripts108 days from submission to acceptance18 days from acceptance to publication, Citation Impact2.501 - Source Normalized Impact per Paper (SNIP)0.925 - SCImago Journal Rank (SJR)6.1 - CiteScoreUsage 647,436 downloads549 Altmetric mentions, Your browser needs to have JavaScript enabled to view this timeline. The Journal of Data, Information and Management (JDIM) is a unique and premiere platform for disseminating most up-to-date research and development in the data-information-management interdisciplinary problems. The "International Journal of Big Data Mining for Global Warming" is an inter-disciplinary journal dedicated to the publication of high-quality research articles, review articles, letters, case studies and book reviews in all aspects of global warming through traditional mining methods (statistical, spectral, numerical, simulating, LCA, 3E, etc.) Mendeley Data Repository is free-to-use and open access. If you have access to a journal via a society or association membership, please browse to your society journal, select an article to view, and follow the instructions in this box. Big Data Analytics is a multi-disciplinary open access, peer-reviewed journal, which welcomes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of big data science analytics. Today is the need of the new technology for processing these large data sets. Occasionally the journal may publish whitepapers on policies, standards and best practices. Source Normalized Impact per Paper (SNIP). 不论您是正在查找出版流程的信息还是忙于撰写下一篇稿件,我们都随时待命。下面我们将重点介绍一些可以在您的科研旅程中对您提供支持的工具。, Below is a recent list of 2019—2020 articles that have had the most social media attention. The most cited articles published since 2017, extracted from. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. December 2020, issue 1; Volume 6 December 2019. ISSN: 2167-6461 Online ISSN: 2167-647X Published Bimonthly Current Volume: 8. The latest Open Access articles published in Big Data Research. Cookies policy. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Only some of the benefits of publishing open access with Elsevier, Data for: Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data, Data for: Classification of large DNA methylation datasets for identifying cancer drivers, Data for: Towards Sustainable Smart City by Particulate Matter Prediction using Urban Big Data, Excluding Expensive Air Pollution Infrastructures, Geo-distributed Big Data Processing and Management, Big Data Exploration, Visualization and Analytics, Visualization in Big Data and Data Science, Benchmarking, Performance Tuning and Optimization for Big Data Analytics, Data-Driven Computational Social Science: A Survey, Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications, Download the ‘Understanding the Publishing Process’ PDF, joint commitment for action in inclusion and diversity in publishing, Check the status of your submitted manuscript in the. Big Data and Cognitive Computing (ISSN 2504-2289) is an international, scientific, peer-reviewed, open access journal of big data and cognitive computing published quarterly online by MDPI.. Open Access —free for readers, with article processing charges (APC) paid by authors or their institutions. Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Big data definitions have evolved rapidly, which has raised some confusion. BIG DATA: WHAT IT IS. statement and The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations. The International Journal of Big Data Intelligence and Applications (IJBDIA) publishes research that bridges the big gap between data science and business-/end user-oriented big data intelligence engineering, while addressing pragmatic utility concerns, thereby striking a pragmatic balance between theory and practice, as well as science and engineering. Please see our Guide for Authors for information on article submission. The Plum Print next to each article shows the relative activity in each of these categories of metrics: Captures, Mentions, Social Media and Citations. Volume 7 December 2020. Special issues published in Big Data Research. This is evident from an online survey of 154 C-suite global executives conducted by Harris Interactive on behalf of SAP in April 2012 (“Small and midsize companies look to make big gains with big data,” 2012).Fig. Terms and Conditions, Big Data & Society (BD&S) is an Open Access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.. Next generation cars collect a wide variety of data coming from different systems that need to be processed and merged in order to provide adequate car driving assistance. ; High Visibility: to be covered in Scopus. The most downloaded articles from Big Data Research in the last 90 days. Discover how our open access options can help you maximize reach and impact, Copyright © 2020 Elsevier B.V. It enables you to deposit any research data (including raw and processed data, video, code, software, algorithms, protocols, and methods) associated with your research manuscript. Cookies are used by this site. These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Big Data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. . The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. Search within journal. In addition, this proposed journal is a response to the current limited provision of academic journals in the fields of Big Data and Smart City. Volumes and issues. Go, Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems, Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration, Variations on the Clustering Algorithm BIRCH, PXDedup: Deduplicating Massive Visually Identical JPEG Image Data, Knowledge Graph-Based Spatial-Aware User Community Preference Query Algorithm for LBSNs, Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework, A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce, Frequent Itemsets Mining for Big Data: A Comparative Analysis, Insights into Antidepressant Prescribing Using Open Health Data, Big Data for Supporting Low-Carbon Road Transport Policies in Europe: Applications, Challenges and Opportunities, In support of equality, inclusion & diversity, Visibility.

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