SmartData 2019: IEEE International Conference on Smart Data
- Call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details
This article provides the call for paper, ranking, acceptance rate,
submission deadline, notification date, conference location, submission guidelines, and other important details of SmartData 2019: IEEE International Conference on Smart Data all at one place.
Conference Ranking
IEEE International Conference on Smart Data ranking based on CCF, Core, and Qualis is shown below:
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CCF Ranking
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Core Ranking
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Qualis Ranking
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Click here to check the ranking of any conference.
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About CCF Ranking: The Chinese Computing Federation (CCF) Ranking provides a ranking of peer-reviewed journals and conferences in the field of computer science.
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About Core Ranking: The CORE Conference Ranking is a measure to assess the major conference in the computing field. This ranking is governed by the CORE Executive Committee. To know more about Core ranking, visit Core ranking portal.
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About Qualis Ranking: This conference ranking is published by the Brazilian ministry of education. It uses the h-index as a performance metric to rank conferences. Conferences are classified into performance groups that range from A1 (to the best), A2, B1, B2,..., B5 (to the wost). To know more about qualis ranking, visit here
Conference Acceptance Rate
Below is the acceptance rate of IEEE International Conference on Smart Data conference for the last few years:
| Year |
Submitted Papers |
Accepted Papers |
Accepted Percentage/Acceptance Rate |
We are working hard to collect and update the acceptance rate details of the conferences for recent years. However, you can consider the above (if available) acceptance rates to predict the average chances of acceptance of your research paper at this conference.
Conference Call for paper
The goal of The 2019 IEEE International Conference on Smart Data (SmartData-2019) is to provide a forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences and work-in-process on all aspects of Smart Data.Topics of interest include, but are not limited to:Track 1: Data Science and Its Foundations • Foundational Theories for Data Science • Theoretical Models for Big Data • Foundational Algorithms and Methods for Big Data • Interdisciplinary Theories and Models for Smart Data • Data Classification and Taxonomy • Data Metrics and MetrologyTrack 2: Big Data Infrastructure and Systems • Cloud/Cluster/Fog/Edge Computing for Big Data • Programming Models/Environments for Cluster/Cloud Computing • High Performance/Throughput Platforms for Big Data Computing • Parallel Computing for Big Data • Open Source Big Data Systems (e.g., including Hadoop, Spark, Flink and Storm) • System Architecture and Infrastructure of Big Data • New Programming Models for Big Data beyond Hadoop/MapReduce • Big Data Appliance • Big Data EcosystemsTrack 3: Big Data Storage and Management • Big Data Collection, Transformation and Transmission • Big Data Integration and Cleaning • Uncertainty and Incompleteness Handling in Big Data/Smart Data • Quality Management of Big Data/Smart Data • Big Data Storage Models • Query and Indexing Technologies • Distributed File Systems • Distributed Database Systems • Large-Scale Graph/Document Databases • NewSQL/NoSQL for Big DataTrack 4: Big Data Processing and Analytics • Smart Data Search, Mining and Drilling from Big Data • Semantic Integration and Fusion • In-Memory/Streaming/Graph-Based Computing for Big Data/Smart Data • Brain-Inspired/Nature-Inspired Computing for Big Data/Smart Data • Distributred Representation Learning of Smart Data • Machine Learning/Deep Learning for Big Data/Smart Data • Secure/Privacy-Preserving Data Processing and Analytics • New Models, Algorithms, and Methods for Big/Smart Data Processing and Analytics • Exploratory Data Analysis • Visualization Analytics for Big Data • Big Data Based Prediction Methods • Big Data Aided Decision-MarkingTrack 5: Big/Smart Data Applications • Big/Smart Data Applications in Science, Internet, Finance, Telecommunictions, Business, Medicine, Healthcare, Government, Transportation, Industry, Manufacture • Big/Smart Data Applications in Government and Public Sectors • Big/Smart Data Applications in Enterprises • Security, Privacy and Trust • Big Data Opening and Sharing • Big Data Exchange and Trading • Data as a Service (DaaS) • Standards for Big/Smart Data • Case Studies of Big/Smart Data Applications • Practices and Experiences of Big Data Project Deployments • Ethic Issues about Big Data Applications
Submission Deadline
SmartData 2019: IEEE International Conference on Smart Data submission deadline is 2019-04-14.
Note: It is generally recommended to submit your conference paper
on or before the submission deadline. Generally, conferences do not
encourage to submit the research paper after the deadline is over.
In rare scenarios, conferences extend their deadline. Decision about the
extension of the deadline is generally updated on the official conference webpage.
Notification date
Notification date of SmartData 2019: IEEE International Conference on Smart Data is 2019-05-12.
Note: This is the date on which conference announces the result about acceptance or rejection of submitted papers. If your research paper is accepted, the conference will request you to submit the camera ready version of your research paper by the due date. Due date to submit the camera ready version of the paper is generally posted on the official web page of the conferences or notified to you via. email.
Conference Date
SmartData 2019: IEEE International Conference on Smart Data will start on 2019-07-14.
Note: This is the date on which the conference starts.
Conference Location
SmartData 2019: IEEE International Conference on Smart Data will be organized at Atlanta, Georgia, USA. This is the place where the conference is organized and the research paper is to be presented.
