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ICKIE 2017 : International Conference on Knowledge and Innovation Engineering

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Link: http://www.istdst.org/KIE
 
When Feb 12, 2017 - Feb 13, 2017
Where Los Angeles, USA
Submission Deadline Jan 12, 2017
 

Call For Papers

All honourable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Knowledge and Innovation Engineering are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research material. Topics of interest for submission include, but are not limited to:

Data Management
l Benchmarking and performance evaluation
l Data exchange and integration
l Data quality, cleaning and lineage
l Data warehousing and mining
l Embedded, sensor, mobile databases and applications
l Managing uncertain, imprecise and inconsistent information
l Metadata management
l Multilingual data management
l Multimedia data management and mining
l Novel Data Types
l Parallel and distributed databases
l Peer-to-peer data management
l Personalized information systems
l Query processing and optimization
l Replication, caching, and publish-subscribe systems
l Text search and database querying
l Semi-structured data
l Social Networks
l Storage and transaction management
l Web services

Databases
l Access methods and indexing
l Authorization, privacy and security
l Concurrency control and recovery
l Database languages and models
l Mobile databases and ubiquitous data management
l Peer to peer, parallel and distributed databases
l Query processing, optimization and performance
l Real-time and active database
l Scientific and biological databases
l Semi-structured data and XML databases
l Stream-based processing and sensor databases
l Artificial Intelligence in Manufacturing
l Artificial Vision
l Temporal, spatial and multimedia databases
l Dependability, Monitoring, and Supervision
l Machine Learning
l Flexible Manufacturing Systems
l Sustainable Development
l Failures Diagnostic and Prognostic
l Robotics and Mechatronics Systems

Information Retrieval
l Cross-language and multi-lingual information retrieval
l Digital libraries
l Document and query representation
l Document summarization and question answering
l Document tracking, routing, and filtering
l Hypertext and hypermedia management
l Information retrieval applications
l Information retrieval evaluation, metrics
l Information retrieval models and theory
l Information visualization and exploration
l Interactive retrieval, user models and studies
l Interoperability and integration
l Metadata extraction and generation
l Multi-media and content-based information retrieval, music retrieval
l Performance issues in information retrieval
l Personalization and personal information management
l Question answering
l Test collections, experimental design
l Text classification and clustering, machine learning
l Web and distributed information retrieval

Knowledge Management
l Classification and clustering
l Data/information extraction and integration
l Data mining applications
l Explanation and Knowledge Provenance
l Frequent itemsets and sequential pattern mining
l Knowledge management and synthesis
l Link analysis and community discovery
l Mining and representing data streams, web content, structure and usage data
l Mining and representing temporal and spatial data
l Mining and representing text and semi-structured data
l Mining and representing reviews, blogs & discussions
l Novel data mining algorithms
l Pre-processing, post-processing and visual data mining
l Security and privacy issues
l Semantic Integration

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