EGC 2015 - 15th Conference on Knowledge Extraction and Management

15th French-speaking Conference on Knowledge Extraction and Management
EGC 2015
January 27-30, 2015, Luxemburg
http://egc2015.lippmann.lu
Contributions in English are welcome and may be presented in English.
A special track dedicated to big data analytics will be wholly in English.
Program chair:
Jérôme Darmont, ERIC ? Université de Lyon, France
Local chair:
Thomas Tamisier, Centre Gabriel Lippmann, Luxemburg
Benoît Otjacques, Centre Gabriel Lippmann, Luxemburg
This French-speaking conference is devoted to theories, methods and applications of knowledge management and engineering, machine learning, data mining and knowledge discovery in databases. EGC aims at providing a forum for researchers, students and professionals for presenting research results. It brings together experts from both academia and industry for exchanging ideas and discussing future challenges in knowledge extraction and management.
As each year, the EGC conference is open to recent research work and industrial developments in the domain of knowledge extraction and management. Thus, EGC helps present and discuss both theoretical and applied results.
Several kinds of communications are possible: research studies (published as long, 12-page papers, short, 6-page papers or posters with 2-page abstracts, depending on maturity), software demos (presented in 6-page papers) and workshops, which will be part of a separate call for contributions. Papers may be submitted either in French or in English (for non-French speakers).
A best academic paper and a best applied paper awards will be granted, as well as a PhD award (separate call pending). Accepted research papers and demos will be published in a special issue of the French RNTI journal. Furthermore, selected accepted papers will be invited to submit an extended version for publication in international postproceedings published by Springer Verlag.
Conference topics
Foundations of knowledge extraction and management
Tasks
- Supervised learning: kernel machines, vector machines, formal neural networks, probabilistic models, rule learning, ensemble methods, regression…
- Clustering: conceptual clustering, partitioning methods, neural methods, hierarchical methods, multiview, multistrategy, incremental, or collaborative clustering
- Model selection
- Pattern mining: itemsets, sequences, trees, graphs...
- Outlier and anomaly detection
- Recommendation systems
- Other paradigms: semi-supervised, active or multistrategy machine learning
Methods
- Statistical methods in data mining
- Symbolic learning, inductive logic programming
- Topological learning, mathematical varieties
- Visual data mining
- Data mining and constraints
- Incremental data mining
- Scalable data mining algorithms
- Distributed/parallel systems for data mining
- Symbolic data analysis
Data
- Structured, semi-structured, textual data…
- Semantically heterogeneous data / multimedia, spatial, images, video, audio… data / data populating knowledge models, relational data, network data, graph data
- Geolocated, temporal, spatial data
- Data annotated with ontologies, exploited within the semantic Web
- Voluminous, complex, dynamic data…
- Open data
- Social data
Methodologies for knowledge extraction and management
- Data acquisition, collection, preprocessing, filtering, data reduction, selection and feature modification
- Data quality and knowledge criteria and evaluation
- Data integration (ETL, data warehouses, mediation…)
- Knowledge integration in the extraction process
- Knowledge and ontology management (acquisition, storage, update, interoperability, interconnection, evolution)
- Analytical visualization, OLAP, person-machine interaction in data mining
- Information and data traceability, security and integrity
- Platforms and systems for KDD
- Comparative studies by benchmarking
- Evaluation protocols and model validation from user samples
- Experimental studies on voluminous data
Knowledge extraction and management in emerging domains
- Social: relationship analysis, on-line communities, social networks…
- Mobility, geolocation, ambient, ubiquitous
- Behavior modeling
- Electronic commerce, online advertisement
- Opinion, news, microblogging mining
- Open data
- Linked Data
- Crowdsourcing
Applications of knowledge extraction and management
- Enterprise memory, technological watch
- Intrusion detection, fraud prevention
- Epidemics modeling, clinical research, health monitoring
- Customer relationship, network and system management
- Sustainable development, intelligent transport
- Other applications in domains such as medicine, biology, chemistry, finance, insurance…
Submission format
Submissions must be anonymous and posted only through the conference’s website. They must be sent in PDF format only and comply with the RNTI LaTeX format that is downloadable at the following URI.
http://www.editions-rnti.fr/files/RNTI-X-Y2.1.zip
Submissions longer than 12 pages or not complying with the RNTI LaTeX format will not be reviewed.
Important dates
All dates are firm. There will be no extended deadline.
Research papers
- Abstracts: October 10, 2014
- Full papers: October 17, 2014
- Authors/PC members interaction: November 12-14, 2014
- Notification to authors: November 22, 2014
- Final versions: December 12, 2014
Software demos
- Submission deadline: October 17, 2014
- Notification to authors: November 22, 2014
- Final versions: December 12, 2014
Workshops
- Submission deadline: September 5, 2014
- Notification to workshop chairs: September 15, 2014
- Workshop program online: January 6, 2015