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ICIKM 2012 : 2012 International Conference on Information and Knowledge Management | |||||||||||||||
Link: http://www.icikm.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Submission to ICIKM 2012 is Open.
2012 International Conference on Information and Knowledge Management (ICIKM 2012) in conjunction with ICMET 2012 Kuala Lumpur, Malaysia, July 24 - 26, 2012 2012 International Conference on Information and Knowledge Management (ICIKM 2012) will be held in Kuala Lumpur, Malaysia during July 24-26, 2012. The aim objective of ICIKM 2012 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Information and Knowledge Management. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. All papers for the ICIKM 2012 will be published in the IPCSIT (ISSN: 2010-460X) as one volume, and will be included in the Engineering & Technology Digital Library, and indexed by EBSCO, CNKI, WorldCat, Google Scholar, and sent to be reviewed by Ei Compendex and ISI Proceedings. Selected papers will be recommended to be published in the citation Journals. Call For Papers 2012 International Conference on Information and Knowledge Management (ICIKM 2012) will bring together top researchers from Asian Pacific areas, North America, Europe and around the world to exchange research results and address open issues in all aspects of Information and Knowledge Management. Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest: Data Management Benchmarking and performance evaluation Data exchange and integration Data quality, cleaning and lineage Database monitoring and tuning Data privacy and security Data warehousing and mining Embedded, sensor, mobile databases and applications Managing uncertain, imprecise and inconsistent information Metadata management Multilingual data management Multimedia data management and mining Novel Data Types Parallel and distributed databases Peer-to-peer data management Personalized information systems Query processing and optimization Replication, caching, and publish-subscribe systems Text search and database querying Semi-structured data Social Networks Storage and transaction management Web services Databases Access methods and indexing Authorization, privacy and security Concurrency control and recovery Database languages and models Mobile databases and ubiquitous data management Peer to peer, parallel and distributed databases Query processing, optimization and performance Real-time and active database Scientific and biological databases Semi-structured data and XML databases Stream-based processing and sensor databases Temporal, spatial and multimedia databases Information Retrieval Cross-language and multi-lingual information retrieval Digital libraries Document and query representation Document summarization and question answering Document tracking, routing, and filtering Hypertext and hypermedia management Information retrieval applications Information retrieval evaluation, metrics Information retrieval models and theory Information visualization and exploration Interactive retrieval, user models and studies Interoperability and integration Metadata extraction and generation Multi-media and content-based information retrieval, music retrieval Performance issues in information retrieval Personalization and personal information management Question answering Test collections, experimental design Text classification and clustering, machine learning Web and distributed information retrieval Knowledge Management Classification and clustering Data/information extraction and integration Data mining applications Explanation and Knowledge Provenance Frequent itemsets and sequential pattern mining Knowledge management and synthesis Link analysis and community discovery Mining and representing data streams, web content, structure and usage data Mining and representing temporal and spatial data Mining and representing text and semi-structured data Mining and representing reviews, blogs & discussions Novel data mining algorithms Pre-processing, post-processing and visual data mining Security and privacy issues Semantic Integration Knowledge Management Processes Data Mining (store/discover/propagate) Technologies for Knowledge Sharing Learning Technologies Management and Measurement of Intangibles Optimization of Organisations Assessment Methods Innovation Methods Social Networks and Psychological Dimensions Case Studies on Collaboration Tools for Knowledge Management SUBMISSION METHODS: 1. Electronic Submission System; ( .pdf) If you can't login the submission system, please try to submit through method 2. 2. Email: icikm@iacsit.org. ( .pdf and .doc) |
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