[Full-disclosure] (no subject)

[Alejandro Cánovas Solbes<alejandro.canovas.cp46700@xxxxxxxxx>]

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.
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============== 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complete unpublished papers, which are not under review in any other conference 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

IMMM General Chairs
Philip Davis, Bournemouth and Poole College - Bournemouth, UK
David Newell, Bournemouth University - Bournemouth, UK

IMMM Advisory Chairs
Petre Dini, Concordia University, Canada & IARIA, USA
Andreas Holzinger, Institute for Medical Informatics, Statistics and 
Documentation (IMI) / Medical University Graz (MUG), Austria
Kuan-Ching Li, Providence University, Taiwan

IMMM Industry Liaison Chairs
George Ioannidis, IN2 search interfaces development Ltd., UK
Johannes Meinecke, SAP AG / SAP Research Center Dresden, Germany

IMMM Special Area Chairs on Data Management
Robert Wrembel, Poznan University of Technology, Poland

IMMM Special Area Chair on Special Mining
Yulan He, Knowledge Media Institute / The Open University, UK

IMMM Special Area Chair on Semantic Data Handling
Stefan Brüggemann, OFFIS - Institute for Information Technology, Germany

IMMM Special Area Chair on Databases
Lena Strömbäck, Linköpings Universitet, Sweden

IMMM Special Area Chair on Cloud-based Mining
Roland Kübert, High Performance Computing Center Stuttgart / Universität 
Stuttgart, Germany

IMMM Publicity Chairs
Zaher Al Aghbari, University of Sharjah, UAE
Alejandro Canovas Solbes, Polytechnic University of Valencia, Spain
Program Committee
http://www.iaria.org/conferences2011/ComIMMM11.html
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