The Eleventh International Conference on Data Analytics

DATA ANALYTICS 2022

November 13, 2022 to November 17, 2022 - Valencia, Spain

Deadlines

Submission

Jul 02, 2022

Notification

Aug 09, 2022

Registration

Aug 23, 2022

Camera ready

Aug 30, 2022

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

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

Indexing Procedure

Affiliated Journals

DATA ANALYTICS 2022 - The Eleventh International Conference on Data Analytics

November 13, 2022 - November 17, 2022

DATA ANALYTICS 2022
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: 978-1-61208-994-2

DATA ANALYTICS 2022 is colocated with the following events as part of NexTech 2022 Congress:

  • UBICOMM 2022, The Sixteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2022, The Sixteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2022, The Sixteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2022, The Twelfth International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2022, The Fourteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2022, The Eleventh International Conference on Data Analytics
  • GLOBAL HEALTH 2022, The Eleventh International Conference on Global Health Challenges
  • CYBER 2022, The Seventh International Conference on Cyber-Technologies and Cyber-Systems

DATA ANALYTICS 2022 Steering Committee

Wolfram Wöß
Institute for Application Oriented Knowledge Processing | Johannes Kepler University, Linz
Austria


Kerstin Lemke-Rust
Hochschule Bonn-Rhein-Sieg
Germany


George Tambouratzis
Institute for Language and Speech Processing, Athena R.C.
Greece


Les Sztandera
Thomas Jefferson University
USA


Ivana Semanjski
Ghent University
Belgium


Sandjai Bhulai
Vrije Universiteit Amsterdam
The Netherlands


DATA ANALYTICS 2022 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 02, 2022

Notification

Aug 09, 2022

Registration

Aug 23, 2022

Camera ready

Aug 30, 2022

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Technical Co-Sponsors and Logistic Supporters