学会員メーリングリストアーカイブ (2012年)

Deadline Extension, June 18: IMMM 2012 || October 21-26, 2012 - Venice, Italy


INVITATION:

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The submission deadline is extended to June 18, 2012.

Please consider to contribute to and/or forward to the appropriate groups the following opportunity 
to submit and publish original scientific results to IMMM 2012.

In addition, authors of selected papers will be invited to submit extended article versions to one of 
the IARIA Journals: http://www.iariajournals.org

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============== IMMM 2012 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

IMMM 2012 , The Second International Conference on Advances in Information Mining and Management

October 21-26, 2012 - Venice, Italy


General page: http://www.iaria.org/conferences2012/IMMM12.html

Call for Papers: http://www.iaria.org/conferences2012/CfPIMMM12.html

- regular papers
- short papers (work in progress)
- posters

Submission page: http://www.iaria.org/conferences2012/SubmitIMMM12.html

Submission deadline: June 18, 2012

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 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Authors are invited to submit complete unpublished papers, which are not under review in any other 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 2012 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/conferences2012/ComIMMM12.htm
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