DATA ANALYTICS 2021 - The Tenth International Conference on Data Analytics
October 03, 2021 - October 07, 2021
DATA ANALYTICS 2021
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).
ISSN: 2308-4464
ISBN: 978-1-61208-891-4
DATA ANALYTICS 2021 is colocated with the following events as part of NexTech 2021 Congress:
- UBICOMM 2021, The Fifteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
- ADVCOMP 2021, The Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
- SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing
- AMBIENT 2021, The Eleventh International Conference on Ambient Computing, Applications, Services and Technologies
- EMERGING 2021, The Thirteenth International Conference on Emerging Networks and Systems Intelligence
- DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics
- GLOBAL HEALTH 2021, The Tenth International Conference on Global Health Challenges
- CYBER 2021, The Sixth International Conference on Cyber-Technologies and Cyber-Systems
DATA ANALYTICS 2021 Steering Committee
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![](../images2/steering/wolfram_woess.jpg) |
Wolfram Wöß
Institute for Application Oriented Knowledge Processing | Johannes Kepler University, Linz
Austria
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![](../images2/steering/kerstin_lemke_rust.jpg) |
Kerstin Lemke-Rust
Hochschule Bonn-Rhein-Sieg
Germany
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![](../images2/steering/george_tambouratzis.jpg) |
George Tambouratzis
Institute for Language and Speech Processing, Athena R.C.
Greece
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![](../images2/steering/les_sztandera.jpg) |
Les Sztandera
Thomas Jefferson University
USA
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![](../images2/steering/ivana_semanjski.jpg) |
Ivana Semanjski
Ghent University
Belgium
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![](../images2/steering/sandjai_bhulai.jpg) |
Sandjai Bhulai
Vrije Universiteit Amsterdam
The Netherlands
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DATA ANALYTICS 2021 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 27, 2021 |
Notification | Aug 19, 2021 |
Registration | Sep 02, 2021 |
Camera ready | Sep 04, 2021 |
Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).