Motivation, themes and goal
Temporal data are frequently encountered in a wide range of domains such as bio-informatics, medicine, finance and engineering, among many others. They are naturally present in applications covering language, motion and vision analysis, or more emerging ones as energy efficient building, smart cities, dynamic social media or sensor networks. Contrary to static data, temporal data are of complex nature, they are generally noisy, of high dimensionality, they may be non stationary (i.e. first order statistics vary with time) and irregular (involving several time granularities), they may have several invariant domain-dependent factors as time delay, translation, scale or tendency effects. These temporal peculiarities make limited the majority of standard statistical models and machine learning approaches, that mainly assume i.i.d data, homoscedasticity, normality of residuals, etc. To tackle such challenging temporal data, one appeals for new advanced approaches at the bridge of statistics, time series analysis, signal processing and machine learning. Defining new approaches that transcend boundaries between several domains to extract valuable information from temporal data is undeniably a hot topic in the near future, that has been yet the subject of active research this last decade.
The aim of this workshop is to bring together researchers and experts in machine learning, data mining, pattern analysis and statistics to share their challenging issues and advance researches on temporal data analysis. Analysis and learning from temporal data cover a wide scope of tasks including learning metrics, learning representations, unsupervised feature extraction, clustering and classification. The proposed workshop welcomes papers that cover, but not limited to, one or several of the following topics:
- Temporal data clustering
- Semi-supervised and supervised classification on temporal data
- Deep learning and learning representations for temporal data
- Metric and kernel learning for temporal data
- Modeling temporal dependencies
- Advanced forecasting and prediction models
- Space-temporal statistical analysis
- Functional data analysis methods
- Temporal data streams
- Dimensionality reduction, sparsity, algorithmic complexity and big data challenge
- Bio-informatics, medical, energy consumption, applications on temporal data
- Benchmarking and assessment methods for temporal data
Submission format
Please send to Ahlame Douzal in PDF or PostScript using the LNCS formatting style, a short paper from 2 to 6 pages, or an extended abstract of less than 2000 words for one of the two tracks:
- Oral presentation
- Poster session (including research in progress and demos).
Extended versions of accepted papers will be published in a special volume of Lecture Notes in Artificial Intelligence (LNAI, www.springer.com/lncs).
Program Commitee
- Ahlame Douzal-Chouakria, Université Grenoble Alpes, France
- José Antonio Vilar Fernández, University of A Coruña, Spain
- Pierre-François Marteau, IRISA, Université de Bretagne-Sud, France
- Ann Maharaj, Monash University, Australia
- Andrés M. Alonso, Universidad Carlos III de Madrid, Spain
- Edoardo Otranto, University of Messina, Italy
Poster Session Chairs
- Maria-Irina Nicolae, Université Jean Monnet, France
- Saeid Soheily, Université Grenoble Alpes, France
Reviewing Committee
The reviewing process is single blind and calls to at least two independent reviewers for each paper.
- Massih-Reza Amini, Université Grenoble Alpes, France
- Manuele Bicego, University of Verona, Italy
- Gianluca Bontempi, MLG, ULB University, Belgium
- Antoine Cornuéjols, LRI, AgroParisTech, France
- Pierpaolo D'Urso, University La Sapienza, Italy
- Patrick Gallinari, LIP6, UPMC, France
- Eric Gaussier, Université Grenoble Alpes, France
- Christian Hennig, Department of Statistical Science, London's Global Univ, UK
- Frank Höeppner, Ostfalia University of Applied Sciences, Germany
- Paul Honeine, ICD, Université de Troyes, France
- Vincent Lemaire, Orange Lab, France
- Manuel Garcia Magarinos, University of A Coruña, Spain
- Mohamed Nadif, LIPADE, Université Paris Descartes, France
- François Petitjean, Monash University, Australia
- Fabrice Rossi, SAMM, Université Paris 1, France
- Allan Tucker, Brunel University, UK
Important dates
- Workshop paper submission deadline: Monday, June 22, 2015
- Workshop paper acceptance notification: Monday, July 13, 2015
- Workshop paper camera-ready deadline: Monday July 27, 2015
