-------- Original Message -------- Subject: [computational.science] IMMM 2011 || July 17-22, 2011 - Bournemouth, UK Date: Fri, 21 Jan 2011 00:23:13 +0100 From: Alejandro Canovas Solbesalejandro.canovas.cp46700@gmail.com Organization: "ICCSA" To: Computational Science Mailing List computational.science@lists.iccsa.org

INVITATION:

================= Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results. =================

============== IMMM 2011 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

IMMM 2011: The First International Conference on Advances in Information Mining and Management July 17-22, 2011 - Bournemouth, UK

General page: http://www.iaria.org/conferences2011/IMMM11.html Call for Papers: http://www.iaria.org/conferences2011/CfPIMMM11.html

Submission deadline: March 1, 2011

Technical Co-Sponsors: - The Bournemouth& Poole College - Bournemouth University - Cisco Systems, Inc. - Linköpings Universitet, Sweden - IN2 search interfaces development Ltd., UK - High Performance Computing Center Stuttgart / Universität Stuttgart, Germany Sponsored by IARIA, www.iaria.org

Extended versions of selected papers will be published in IARIA Journals: http://www.iariajournals.org

Please note the Poster Forum and Work in Progress options.

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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.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 2011 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/conferences2011/ComIMMM11.html ==================== Publicity Chairs: Zaher Al Aghbari, University of Sharjah, UAE Alejandro Canovas Solbes, Polytechnic University of Valencia, Spain

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