[ecoop-info] Deadline Extension: IMMM 2014 || July 20 - 24, 2014 - Paris, France

[Cristina Pascual]

INVITATION:
 
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Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to IMMM 2014.
The submission deadline is extended to March 12, 2014.
Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: http://www.iariajournals.org
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============== IMMM 2014 | Call for Papers ===============
 
CALL FOR PAPERS, TUTORIALS, PANELS
 
IMMM 2014, The Fourth International Conference on Advances in Information Mining and Management
 
July 20 - 24, 2014 - Paris, France
 

General page: http://www.iaria.org/conferences2014/IMMM14.html
 
Call for Papers: http://www.iaria.org/conferences2014/CfPIMMM14.html
 
Submission page: http://www.iaria.org/conferences2014/SubmitIMMM14.html
 

Contributions:
 - regular papers
 - short papers (work in progress)
 - posters
 - ideas
 - presentations
 - demos
 - doctoral forum submissions
 
Proposals for:
 - symposia
 - workshops
 

Submission deadline: March 12, 2014
 
Sponsored by IARIA, www.iaria.org
 

Extended versions of selected papers will be published in IARIA Journals:  http://www.iariajournals.org
 Print proceedings will be available via Curran Associates, Inc.: http://www.proceedings.com/9769.html
 Articles will be archived in the free access ThinkMind Digital Library: http://www.thinkmind.org
 
The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.
 
All tracks are open to both research and industry contributions, in terms of Regular papers, Posters, Work in progress, Technical/marketing/business presentations, Demos, Tutorials, and Panels.
 
Before submission, please check and conform with the Editorial rules: http://www.iaria.org/editorialrules.html
 

IMMM 2014 Topics (topics and submission details: see CfP on the site)
 

Mining mechanisms and methods
 
Data mining algorithms; Media adaptive mining; Agent-based mining; Content-based mining; Context-aware mining; Automation of data extraction; Data mining at a large; Domain-driven data mining; Graph-based data mining; Multilabel information; Multimodal mining; Cloud-based mining; Mining using neurocomputing techniques
 
Mining support
 
Querying for mining; Questions for digital investigation; Similarity search; User-generated content; Visualizing data mining; Internationalization and localization techniques for profile/context-based visualization
 
Type of information mining
 
Concept mining; Process mining; Concept mining; Knowledge mining; Knowledge discovery; Mining image and video; Mining patterns; Opinion mining; Graph mining; Ontology mining; Semantic annotations and mining; Document mining; Spatial mining; Speech mining; Text mining; Web mining; XML data mining
 
Pervasive information retrieval
 
Context and location information retrieval; Mobile information retrieval; Geo-information retrieval; Context-aware information retrieval; Access-driven information retrieval;  Location-specific information retrieval; Spacial information retrieval; Semantic-driven retrieval
 
Automated retrieval and mining
 
Automated information extraction; Agent-based data mining and information discovery; Agent-based knowledge; Datamining-based agents and multi-agent systems; Agent-mining intelligent applications and systems; Automated retrieval of multimedia streams; Automated retrieval from multimedia archives; Automated copyright infringement detection and watermarking; Automated content summarization; Automatic concept detection, categorization, and genre detection; Automatic speech recognition; Automated cross-media linking
 
Mining features
 
Multilingual data mining; Multimedia mining; String processing and data mining; Mining association rules; Mining social relationships; Mining linked data; Mining sequential episodes from time series; Mining time-dependent data; Un-supervised data mining; Semi-structured data; Mining location-sensitive data; Concept-drift in data mining
 
Information mining and management
 
Data cleaning; Data updating; Segmentation and clustering; Mining transient information; Warehousing; Web syndication; Data filtering and aggregation; Optimal pruning; Data summarization; Knowledge injection, discovery and classification; Uncertainty removal; Managing incompleteness
 
Mining from specific sources
 
Bio data mining; Climate data mining; Data mining in medicine and pharmacology; Data mining in special networks (grids, sensors, etc.); Data management for mobile systems; Data management for sensors; Data mining and management for wireless systems; Dynamic network discovery; Mining from multiple sources; Mining personal semantic data; Mining from social networks; Mining from deep web; Mining from Wikipedia
 
Data management in special environments
 
Data management in sensor and mobile ad hoc networks; Data management in mobile peer-to-peer networks;  Data management for mobile applications; Data management in mobile/temporal social networks; Management of community sensing/participatory sensing data; Managing pervasive data, sensor data streams and user devices; Managing mobile semantic data; Manging data-intensive mobile computing; Management of real-time data; Managing security data streams; Managing Mobile Web 2.0 data; Managing data in mobile clouds; Data replication, migration and dissemination in mobile environments; Web data processing and security on mobile devices; Resource advertising and discovery techniques
 
Mining evaluation
 
Statistics on mining; Ranking of mining results; Provenance; Privacy issues; Patterns for mining; Credibility on data mining; Performance of mining information; Data mining and computational intelligence; Intelligent data understanding; Intelligent data analysis
 
Mining tools and applications
 
Data mining applications; Data mining tools and enabling software; Interoperability of information mining tools; Applications for large-scale mining; Content segmentation tools (e.g., shot and semantic scene segmentation);  Evaluation methods for TV and radio content analysis tools; Tools for data sets and standard resources
 

Committee: http://www.iaria.org/conferences2014/ComIMMM14.html
 

IMMM Advisory Committee
 
Philip Davis, Bournemouth and Poole College - Bournemouth, UK
 
Andreas Schmidt, Karlsruhe University of Applied Sciences, Germany
 
David Newell, Bournemouth University - Bournemouth, UK
 
Kuan-Ching Li, Providence University, Taiwan
 
Abdulrahman Yarali, Murray State University, USA
 
Alain Casali, Aix Marseille Université, France
 
Ingrid Fischer, Universität Konstanz, Germany
 
Christian Ernst, Ecole des Mines de St Etienne - Gardanne, France
 
Paolo Garza, Politecnico di Torino, Italy
 
Bartlomiej Jefmanski, Wroclaw University of Economics, Poland
 
Nathalie Pernelle, Université Paris-Sud, France
 
Jürgen Pfeffer, Carnegie Mellon University, USA
 
Jörg Scheidt, University of Applied Sciences Hof, Germany
 
Ariella Richardson, Jerusalem College of Technology, Israel
 
Lorna Uden, Staffordshire University, UK
 
Eli Upfal, Brown University - Providence USA
 
Domenico Ursino, Università Mediterranea di Reggio Calabria, Italy
 
Jan Zizka, Mendel University - Brno, Czech Republic
 
Nima Hatami, University of California - San Diego, USA
 

IMMM Industry/Research Liaison Committee
 
Johannes Meinecke, SAP AG / SAP Research Center Dresden, Germany
 
Stefan Brüggemann, Astrium GmbH - Bremen, Germany
 
Olivier Caelen, Atos Worldline, Belgium
 
Feng Yan, Facebook Inc., USA
 
Katja Pfeifer, SAP AG, Germany
 
Arno H.P. Reuser, Reuser's Information Services, The Netherlands
 
Yulan He, Knowledge Media Institute / The Open University, UK
 
Artura Mazeika, Max Planck Institute for Informatics - Saarbrücken, Germany
 
Mirela Danubianu, "Stefan cel Mare" University of Suceava, Romania
 
Wei Jin, Amazon.com, Seattle, USA
 
Olivier Caelen, Atos Worldline, Belgium
 
Yili Chen, Monsanto Company, USA
 
Gloria Bordogna, CNR - National Research Council / IDPA - Institute for the Dynamics of Environmental Processes - Dalmine, Italy
 
Daniel Kimming, Karlsruhe Institute of Technology, Germany
 
Josiane Mothe, IRIT, France
 
Dirk Labudde, Hochschule Mittweida, Germany
 
Yoseba Penya Landaburu, University of Deusto - Basque Country, Spain
 
Robert Wrembel, Poznan University of Technology, Poland
 

IMMM Publicity Chairs
 
Alessia Saggese, University of Salerno, Italy
 
Ludovico Boratto, Università di Cagliari, Italy
 
Toshio Kodama, University of Tokyo, Japan
 
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