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IMMM 2011 : The First International Conference on Advances in Information Mining and Management | |||||||||||
Link: http://www.iaria.org/conferences2011/IMMM11.html | |||||||||||
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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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.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 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 INSTRUCTION FOR THE AUTHORS 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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