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IMMM 2011 : The First International Conference on Advances in Information Mining and Management


When Jul 17, 2011 - Jul 22, 2011
Where Bournemouth, United Kingdom
Submission Deadline Mar 1, 2011
Categories    data mining

Call For Papers

The amount of information and its complexity makes it difficult for our society to take advantage of the distributed knowledge value. Knowledge, text, speech, picture, data, opinion, and other forms of information representation, as well as the large spectrum of different potential sources (sensors, bio, geographic, health, etc.) led to the development of special mining techniques, mechanisms support, applications and enabling tools. However, the variety of information semantics, the dynamic of information update and the rapid change in user needs are challenging aspects when gathering and analyzing information.

IMMM 2011 start a series of academic and industrial events focusing on advances in all aspects related to information mining, management, and use.

We welcome technical papers presenting research and practical results, position papers addressing the pros and cons of specific proposals, such as those being discussed in the standard fora or in industry consortia, survey papers addressing the key problems and solutions on any of the above topics short papers on work in progress, and panel proposals.

Industrial presentations are not subject to the format and content constraints of regular submissions. We expect short and long presentations that express industrial position and status.

Tutorials on specific related topics and panels on challenging areas are encouraged.

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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.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.

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
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
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


Authors of selected papers will be invited to submit extended versions to one of the IARIA Journals.

Publisher: XPS (Xpert Publishing Services)
Archived: ThinkMindTM Digital Library (free access)
Submitted for indexing:
- ISI Thompson Conference Proceedings Citation Index (CPCI)
- Elsevier's EI Compendex Database, EI’s Engineering Information Index
- DBLP, IET INSPEC, and other relevant specialized indexes.
- Other indexes are being considered

Important deadlines:
Submission (full paper) March 1, 2011
Notification April 10 , 2011
Registration April 25, 2011
Camera ready April 28, 2011

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