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CfP: IMMM 2011 || July 17-22, 2011 - Bournemouth, UK
From: Alejandro CŠnovas Solbes<alejandro.canovas.cp46700 () gmail com>
Date: Tue, 8 Feb 2011 10:13:38 +0100


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 ===============


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unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, 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 Br√ľggemann, 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 K√ľbert, High Performance Computing Center Stuttgart / Universit√§t Stuttgart, Germany

IMMM Publicity Chairs
Zaher Al Aghbari, University of Sharjah, UAE
Alejandro Canovas Solbes, Polytechnic University of Valencia, Spain
Program Committee

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