INVITATION: ================= Note that the submission deadline has been extended to March 10, 2011. 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 - regular papers (academy, industry) - short papers (work in progress) - posters Submission page: http://www.iaria.org/conferences2011/SubmitIMMM11.html Submission deadline: March 10, 2011 Technical Co-Sponsors: - The Bournemouth & Poole College - Linkopings University - Bournemouth University - IN2 - High Performance Computing Center Stuttgart (HLRS) - Cisco Systems, Inc. - Murray State University 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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.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 ==================== IMMM General Chairs Philip Davis, Bournemouth and Poole College - Bournemouth, UK David Newell, Bournemouth University - Bournemouth, UK IMMM Advisory Chairs Petre Dini, Concordia University, Canada & IARIA, USA Andreas Holzinger, Institute for Medical Informatics, Statistics and Documentation (IMI) / Medical University Graz (MUG), Austria Kuan-Ching Li, Providence University, Taiwan Abdulrahman Yarali, Murray State University, USA IMMM Industry Liaison Chairs George Ioannidis, IN2 search interfaces development Ltd., UK Johannes Meinecke, SAP AG / SAP Research Center Dresden, Germany IMMM Special Area Chairs on Data Management Robert Wrembel, Poznan University of Technology, Poland IMMM Special Area Chair on Special Mining Yulan He, Knowledge Media Institute / The Open University, UK IMMM Special Area Chair on Semantic Data Handling Stefan Brueggemann, OFFIS - Institute for Information Technology, Germany IMMM Special Area Chair on Databases Lena Stromback, Linkopings Universitet, Sweden IMMM Special Area Chair on Cloud-based Mining Roland Kübert, High Performance Computing Center Stuttgart / Universität Stuttgart, Germany IMMM Publicity Chairs Zaher Al Aghbari, University of Sharjah, UAE Alejandro Canovas Solbes, Polytechnic University of Valencia, Spain Committee: http://www.iaria.org/conferences2011/ComIMMM11.html =========================
_______________________________________________ Full-Disclosure - We believe in it. Charter: http://lists.grok.org.uk/full-disclosure-charter.html Hosted and sponsored by Secunia - http://secunia.com/
