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[Full-disclosure] IMMM 2011 || July 17-22, 2011 - Bournemouth, UK
- To: full-disclosure@xxxxxxxxxxxxxxxxx
- Subject: [Full-disclosure] IMMM 2011 || July 17-22, 2011 - Bournemouth, UK
- From: Alejandro Canovas Solbes<alejandro.canovas.cp46700@xxxxxxxxx>
- Date: Fri, 21 Jan 2011 00:21:04 +0100
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complete unpublished papers, which are not under review in any other conference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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