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CIKM (Poster) 2013 : ACM International Conference on Information and Knowledge Management (Poster) | |||||||||||||||
Link: http://www.cikm2013.org/cfposters.php | |||||||||||||||
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Call For Papers | |||||||||||||||
Call for Posters
Poster presentations provide researchers with a unique opportunity to present and to receive direct feedback from an expert audience about significant work in progress, bleeding-edge work, or research that is best communicated in an interactive or graphical fashion. Interested Topics We encourage submissions of high quality posters on all topics in the general areas of databases, information retrieval, and knowledge management. Topics of interest in the three areas include, but are not limited to: Database Access methods and indexing Authorization, data privacy and security Concurrency control and recovery Data adaptability, reusability and quality Database languages, models and interfaces Information integration, data provenance, probabilistic databases Cloud computing, peer-to-peer, parallel and distributed databases Query processing, optimization and performance Semi-structured data processing, XML filtering and routing Stream-based processing, real-time and network databases String databases, blogs and social search Systems, middleware, applications and experiences Temporal, spatial, mobile, multimedia and scientific databases Information Retrieval Semi-Structured Information Retrieval Semantic and Entity-Based Information Retrieval Domain-specific IR (legal, genome, chemical, etc.) Citation Analysis and Social Networks for IR Distributed IR and Peer-to-Peer Search Filtering (recommender systems, topic tracking) User Modeling for IR, Search Personalization User Analysis and Privacy IR Architectures, Scalability and Efficiency IR Evaluation and User Studies Language Specific IR (multi-lingual, NLP, question and answer) Machine Learning for IR Multimedia IR (Audio, Speech, Video, Image) Web Search and Advertising Adversarial IR and Spam Novel IR Interfaces (mobile, explorative, interactive) Foundation of Information Retrieval (theory, ranking, etc.) Knowledge Management Data mining theory, methods, and applications Machine learning applications Big data analytics Data warehousing and business intelligence Information extraction and filtering Knowledge Synthesis and Visualization Semantic Techniques Social networks and social media Knowledge management in innovative applications, such as healthcare information and network security intelligence |
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