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ICIKM 2012 : 2012 International Conference on Information and Knowledge Management

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Link: http://www.icikm.org/
 
When Jul 24, 2012 - Jul 26, 2012
Where Kuala Lumpur, Malaysia
Submission Deadline May 15, 2012
Notification Due May 30, 2012
Final Version Due Jun 15, 2012
Categories    information   knowledge management   databases   information retrieval
 

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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