December 2020: Approximate Computing: From Circuits to Applications; The special track will focus on machine learning and big data analytics techniques with privacy and security. Researchers from different communities interested in this problem will have ample time to share thoughts and experience, promoting possible long-term collaborations. Department of Medical Informatics, Faculty of Medicine, Over the past three years, IEEE DSC has become one of the most important and attractive international conference, mainly focusing on … 2006. Accepted papers will appear in the proper Big Data 2019 proceedings, published by IEEE. University of Warsaw Share the current and new research topics and ideas. Get this from a library! Privacy and security are becoming a key concern in our digital age. IEEE, through its Cloud Computing Initiative and multiple societies, has already been taking the lead on the technical aspects of big data. Companies and organizations are collecting a wealth of data on a daily basis. Bring researchers and experts together to discuss and share their experiences. Topics of interest include, but are not limited to, the following: Important Dates: The special track seeks to explore new ideas with particular focus on addressing the following challenges: We welcome submissions on recent advances in privacy-preserving, secure machine learning and artificial intelligence systems. ... Open Preview allows conference proceedings to be available in the IEEE … The proceedings of ... Big-data application processing is increasingly geo-distributed, a paradigm shift from the traditional cluster-based processing frameworks. Contributions are invited from prospective authors with interests in the indicated session topics and related areas of application. Weiping Ding Data owners have to be very cautious while unlocking the values in the data, since the most useful data for machine learning often tend to be confidential. Some hot topics in machine learning on big data include: (i) machine learning on unconventional big data sources (e.g., large-scale graphs in scientific applications, strongly-unstructured social networks, and so forth); (ii) machine learning over massive big data in distributed settings; (iii) scalable machine learning algorithms; (iv) deep learning – models, principles, issues; (v) machine-learning-based predictive approaches; (vi) machine-learning-based big data analytics; (vii) privacy-preserving machine learning on big data; (viii) temporal analysis and spatial analysis on big data; (ix) heterogeneous machine learning on big data; (x) novel applications of machine learning on big data (e.g., healthcare, cybersecurity, smart cities, and so forth). The IEEE International Conference on Big Data 2019 (IEEE BigData 2019) provides a leading forum for disseminating the latest research in Big Data. Does it include incentive mechanisms to encourage parties to participate on a continuous basis? Special Session on Information Granulation in Data Science and Scalable Computing will continue to address the theory and practice of computation of information granules. Many operations in the big data domain, such as merging user data from various sources for building an AI model, will be considered illegal under the new regulatory framework if they are performed without explicit user authorization. Browse all the proceedings under IEEE International Conference on Big Data Computing Service and Applications (BigDataService) | IEEE Xplore efficient computational model for complex applications with huge amounts of data, information and knowledge (BIG Data). Prof. Dr. Uraz Yavanoglu (urazyavanoglu@gmail.com, uraz.yavanoglu@asu.edu, uraz@gazi.edu.tr) All contributions should be high quality, original and not published elsewhere or submitted for publication during the review period. IEEE membership offers access to technical innovation, cutting-edge information, networking opportunities, and exclusive member benefits. 2019 International Congress on Big Data (BigData Congress 2019) aims to provide an international forum that formally explores various business insights of all kinds of value-added “services.” Big Data is a key enabler of exploring business insights and economics of services. If you have any question about this special session, please do not hesitate to direct your question to the special session organizer Asst. ... 2019. HIGHLIGHTS: This interdisciplinary special session seeks scientific understanding on data and intelligence. All accepted papers must be presented by one of the author/s in the conference to include the article in the proceedings (http://bigdataieee.org/BigData2019/). Big Data and Smart Computing January 17(Sun.)-20(Wed. Shimane University, Japan If you have any question about the special session, please do not hesitate to contact us. It will provide researchers from universities, laboratories and industry with the means to present state-of-the-art research results and methodologies for information granules. The MLBD 2019 special session focuses on all the research aspects of machine learning on Big Data. All accepted papers must be presented by one of the authors, who must register. The Special Session “Machine Learning on Big Data” (MLBD 2019) of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019) follows the great success of three previous editions co-located with the IEEE ICMLA conference series and focuses on machine learning models, techniques and algorithms related to Big Data, a vibrant and challenging research context playing a leading role in the Machine Learning and Data Mining research communities. Both theoretical and application-based contributions are welcome. Increase international collaborations among university–industry-institutions, Data Warehouse, Clustering, Visualization, Knowledge Discovery, Integration, Transformation, Data Classification, Regression, Cleaning, Social Media, Social Networking, Social Data, Recent Theory, Trends, Technologies and Applications, Future Directions and Challenges in Intelligent Data Mining, Industrial Challenges in Intelligent Data Mining. big data systems and applications. (12 VOLS), DESIGN AUTOMATION AND TEST IN EUROPE. View Recent Issues. Title:2019 IEEE International Conference on Big Data (Big Data 2019) Desc:Proceedings of a meeting held 9-12 December 2019, Los Angeles, California, USA. Submitted papers should strictly follow the IEEE official template. Title:2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity 2019), IEEE Intl Conference on High Performance and Smart Computing, (HPSC 2019) and IEEE Intl Conference on Intelligent Data and Security (IDS 2019) Desc:Proceedings of a meeting held 27-29 May 2019, Washington, DC, USA. slezak@mimuw.edu.pl Vice-Chairman For example, in application settings where big data arise and machine is useful, we recognize, among other things: (i) machine-learning-based processing (e.g., acquisition, knowledge discovery, and so forth) over large-scale sensor networks introduces important advantages over classical data-management-based approaches; similarly, (ii) medical and e-heath information systems usually include successful machine learning tools for processing and mining very large graphs modelling patient-to-disease, patient-to-doctor, and patient-to-therapy networks; (iii) genome data management and mining can gain important benefits from machine learning algorithms. Full Paper Submission Deadline : Sept 15, 2019 11:59pm PST IEEE Proceedings of International Congress on Big Data (BigData Congress) from 2013-2019. Paper submission: September 15, 2019 Institute of Informatics, -- The session is organized as a part of the IEEE Big Data 2019 conference (December 9-12, Westin Bonaventure Hotel & Suites, Los Angeles, CA, USA), which is a well-established and highly competitive international event targeted at modern trends in big data processing and analytics. slwang@nuk.edu.tw (2 VOLS), 2019 IEEE International Conference on Big Data (Big Data 2019). Washington, DC, USA. Authors of selected papers from the workshop will be invited to submit an extended version of their paper to a special issue of a high-quality international journal. BIG DATA. IEEE Big Data Initiative is a new IEEE Future Directions initiative. 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS) May 27 2019 to May 29 2019. Artificial Intelligence (AI) & Machine Learning (ML) fields are interdisciplinary, including computer science, mathematics, psychology, linguistics, philosophy, neuroscience etc. This session may help to create scientific evolution to propose robust and powerful schemes between human nature and big data processing. The 14th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE 2020) Guangzhou, China, December 29, 2020 - January 1, 2021 . IEEE, through its Cloud Computing Initiative and multiple societies, has already been taking the lead on the technical aspects of big data. Does the solution exploit and extend the value of data while observing user privacy and data security? Notification of Acceptance : Oct 5, 2019 Department of Computer Science and Information Engineering Accepted papers will be published in the conference proceedings. CONFERENCE. Gazi University, Turkey Camera-ready of accepted papers: Nov 9, 2019 Title:2019 IEEE Conference on Big Data and Analytics (ICBDA 2019) Desc:Proceedings of a meeting held 19-21 November 2019, Pulau Pinang, Malaysia. All stakeholders in the sector should reveal the deep value of this valuable data in order to apply insights to improve quality of care, clinical outcomes and deliver personalized healthcare value, while reducing medical costs, collaborate across care settings to deliver integrated, personalized care experiences, prevent disease, promote wellness and manage care, build flexibility into operations to support cost reduction and excellence in clinical and business performance and practices 
 Papers must be submitted via the CyberChair System by selecting the track “Special Session on Machine Learning on Big Data”. December 9-12, 2019, Los Angeles, CA, USA We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) Read all the papers in 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communica Tzung-Pei Hong Intelligent Data Mining session open to every researcher as well as industrial partners, ), 2021, Bangkok, Thailand Jeju Island, Korea Big data and smart computing are emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines. Though the label is relatively recent, the notions and principles of Granular Computing and Information Granulation, under different names, have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer paradigms in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set systems, neuro computing, quotient spaces, belief functions, approximate analytics, approximate computing, deep neural networks and many others. Special Session Organizer: At least one author of each accepted paper is expected to register for and attend the conference. IEEE INTERNATIONAL CONFERENCE. Prod#:CFP19TWE-POD ISBN:9781728133096 Pages:50 (1 Vol) Format:Softcover Notes: Authorized distributor of all IEEE proceedings TOC:View Table of Contents Publ:Institute of Electrical and Electronics Engineers ( IEEE ) POD Publ:Curran … Camera-ready papers & Pre-registration : Nov 10, 2019, 11:59pm PST Important Dates: tsumoto@med.shimane-u.ac.jp IEEE INTERNATIONAL CONFERENCE. The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is an annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. Prof. Dr. Uraz Yavanoglu IEEE DataCom 2019 will be held on November 18-21, 2019, co-located with IEEE SOCA 2019, IEEE SC2 2019, IOV 2019 … -- The session is intended to be a forum for discussing concepts, issues, and methods by the leading researchers in the fundamental problems of Information Granulation and Granular Computing in an atmosphere promoting the exchange of ideas and viewpoints. National University of Kaohsiung Promotion and Empowerment: Is the solution sustainable and intelligent? The general purpose of this special session in IEEE BigData 2019 conference is to bring together researchers, academicians and sector employees from different fields and disciplines and provide them an independent platform to exchange information on their researches, ideas and findings about healthcare data and its analytics. In order to explore how the AI research community can adapt to this new regulatory reality, we organize this special track on Federated Machine Learning (FML). All accepted papers will be presented during the conference. Camera-ready paper due: November 10, 2019, 5th Special Session on Intelligent Data Mining, IEEE Big Data 2019 Special Track on Federated Machine Learning, Information Granulation in Data Science and Scalable Computing, 2nd Special Session on HealthCare Data in IEEE Big Data 2019, International Journal of Data Mining Science, http://cci.drexel.edu/bigdata/bigdata2019, https://www.ieee.org/conferences/publishing/templates.html, http://bigdataieee.org/BigData2019/CallPapers.html. Technical issues include but not limit to data collection, integration, training and modelling, both in the centralized and distributed setting. This websites is used to present the content of 2019 IEEE International Conference on Big Data Devising and developing machine learning models, techniques and algorithms for big data represent a fundamental problem stirred-up by the tremendous range of critical applications incorporating machine learning tools in their core platforms. Does the solution ensure data privacy and model security? 2006. Authorized distributor of all IEEE proceedings. Title:2019 IEEE 4th International Conference on Big Data Analytics (ICBDA 2019) Desc:Proceedings of a meeting held 15-18 March 2019, Suzhou, China. Members support IEEE's mission to advance technology for humanity and the profession, while memberships build a platform to introduce careers in technology to students around the world. [Elisa Bertino; IEEE Computer Society,; Institute of Electrical and Electronics Engineers,; Zhongguo ji suan ji xue hui. The papers submitted to this special session might be in a large range of topics that include theory, application and implementation of artificial intelligence, machine learning and data mining including but not limited to the topics given below, Use of Artificial Intelligence | Machine Learning in Data Mining as, Extended versions of all session papers will be published on the International Journal of Data Mining Science.