Submission | Jul 20, 2020 |
Notification | Aug 18, 2020 |
Registration | Aug 30, 2020 |
Camera ready | Sep 11, 2020 |
Submission | Jul 20, 2020 |
Notification | Aug 18, 2020 |
Registration | Aug 30, 2020 |
Camera ready | Sep 11, 2020 |
Published by IARIA XPS Press | |
Archived in the free access ThinkMind Digital Library | |
Prints available at Curran Associates, Inc. | |
Authors of selected papers will be invited to submit extended versions to a IARIA Journal | |
DATA ANALYTICS 2020 - The Ninth International Conference on Data Analytics
October 25, 2020 - October 29, 2020
ISSN: 2308-4464
ISBN: 978-1-61208-816-7
DATA ANALYTICS 2020 is colocated with the following events as part of NexTech 2020 Congress:
DATA ANALYTICS 2020 Steering Committee
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Wolfram Wöß |
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Kerstin Lemke-Rust |
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George Tambouratzis |
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Les Sztandera |
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Ivana Semanjski |
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Sandjai Bhulai |
Special tracks:
PDA: Predictive Data Analytics
Chair and Coordinator:
Prof. Dr. Sandjai Bhulai, Vrije Universiteit Amsterdam, the Netherlands s.bhulai@vu.nl
FTRM: FinTech Risk Management
Chair and Coordinator:
Dr. Arianna Agosto, Post-doctoral Researcher, Department of Economics and Management, University of Pavia, Italy arianna.agosto@unipv.it
Dr. Paolo Giudici, Professor of Statistics, FinTech laboratory, University of Pavia, Italy paolo.giudici@unipv.it
DATA ANALYTICS 2020 conference tracks:
Fundamentals for data analytics
Tools, frameworks and mechanisms for data analytics; Open API for data analytics; In-database analytics; Pre-built analytics (pattern, time-series, clustering, graph, statistical analysis, etc.); Analytics visualization; Multi-modal support for data analytics; Google/FaceBook/Twitter/etc. analytics; High-performance data analytics
Advanced topics in Deep/Machine learning
Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Human behavioral predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning applications; Machine learning for systems.
Specific Machine Learning approaches and Data Processing
Machine learning models (supervised, unsupervised, reinforcement, constrained, etc.); Generative modeling (Gaussian, HMM, GAN, Bayesian networks, autoencoders, etc.); Explainable AI (feature importance, LIME, SHAP, FACT, etc.); Bayesian learning models; Prediction uncertainty (approximation learning, similarity); Training of models (hyperparameter optimization, regularization, optimizers); Active learning (partially labels datasets, faulty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data, big data, graph data, time series, sparse data, etc.)
Mechanisms and features
Scalable data analytics; Big data analytics; Deep data analytics; Mass data analytics; Storing, dropping and filtering data; Relevant/redundant/obsolete data analytics; Volume vs. semantics analytics; Nomad analytics; Predictive analytics; Trust in data analytics; Legal issues analytics; Failure on data analytics
Sentiment/opinion analysis
Architectures for generic sentiment analysis systems; Sentiment analysis techniques on social media; Document-level analysis; Sentence-level analysis; Aspect-based analysis; Comparative-sentiment analysis; Sentiment lexicon acquisition; Optimizing sentiment analysis algorithms; Applications of sentiment analysis.
Application-oriented analytics
Statistical applications; Simulation applications; Crawling web services; Cross-database analytics; Forecast analytics; Financial risk management; ROI analytics
Target analytics
Business analytics; Malware analytics; Cyber-threats analytics; Mining user logs; Reputation analytics; User choice analytics; Branding analytics; Utility proximity-search analytics; Survey-based online asset analytics; Online employment analytics; Geology analytics; Global climate analytics; Remote learning analytics; Homecare analytics; Population growth and migration analytics; Food-borne illness outbreaks analytics
Big Data
Foundational models for Big Data; Big Data Analytics and Metrics; Big Data processing and management; Big Data search and mining; Big Data platforms; Big Data persistence and preservation; Big Data and social networks; Big Data economics
Huge data
Knowledge Discovery from Huge Data; Computational Intelligence for Huge Data; Linked Huge Data; Security Intelligence with Huge Data
Deadlines:
Submission | Jul 20, 2020 |
Notification | Aug 18, 2020 |
Registration | Aug 30, 2020 |
Camera ready | Sep 11, 2020 |
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