The Thirteenth International Conference on Data Analytics


September 29, 2024 to October 03, 2024 - Venice, Italy



Jun 17, 2024


Aug 04, 2024


Aug 19, 2024

Camera ready

Aug 29, 2024

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


Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA 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 2024 - The Thirteenth International Conference on Data Analytics

September 29, 2024 - October 03, 2024

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: 978-1-68558-187-9

DATA ANALYTICS 2024 is colocated with the following events as part of NexTech 2024 Congress:

  • UBICOMM 2024, The Eighteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2024, The Eighteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2024, The Eighteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2024, The Fourteenth International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2024, The Sixteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2024, The Thirteenth International Conference on Data Analytics
  • GLOBAL HEALTH 2024, The Thirteenth International Conference on Global Health Challenges
  • CYBER 2024, The Ninth International Conference on Cyber-Technologies and Cyber-Systems

DATA ANALYTICS 2024 Steering Committee

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

Kerstin Lemke-Rust
Hochschule Bonn-Rhein-Sieg

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

Les Sztandera
Thomas Jefferson University

Ivana Semanjski
Ghent University

Sandjai Bhulai
Vrije Universiteit Amsterdam
The Netherlands

DATA ANALYTICS 2024 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; Local surrogate modelling; Online predictive anomaly detection; Prescriptive maintenance strategies

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



Jun 17, 2024


Aug 04, 2024


Aug 19, 2024

Camera ready

Aug 29, 2024

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