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Mon, 7 Mar 2011 18:49:26 -0500
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INVITATION:

=================
Note that the submission deadline has been extended to March 10, 2011.
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
- regular papers (academy, industry)
- short papers (work in progress)
- posters
Submission page: http://www.iaria.org/conferences2011/SubmitIMMM11.html

Submission deadline: March 10, 2011

Technical Co-Sponsors:
- The Bournemouth & Poole College
- Linkopings University
- Bournemouth University
- IN2
- High Performance Computing Center Stuttgart (HLRS)
- Cisco Systems, Inc.
- Murray State University
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invited to submit complete unpublished papers, which are not under review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
Abdulrahman Yarali, Murray State University, USA

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 Brueggemann, OFFIS - Institute for Information Technology, Germany

IMMM Special Area Chair on Databases
Lena Stromback, Linkopings 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

Committee: http://www.iaria.org/conferences2011/ComIMMM11.html
=========================

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