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Authors are invited to submit complete unpublished papers, which are not under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
networ
