International Conference on Information Retrieval and Knowledge (ICIRKM 2014) is focused on all aspects of Information Retrieval and Knowledge Management, including:
- Databases
- Authorization, privacy and security
- Access methods and indexing
- Database languages and models
- Concurrency control and recovery
- Peer to peer, parallel and distributed databases
- Mobile databases and ubiquitous data management
- Real-time and active database
- Query processing, optimization and performance
- Semi-structured data and XML databases
- Scientific and biological databases
- Temporal, spatial and multimedia databases
- Stream-based processing and sensor databases
- Data Management
- Data exchange and integration
- Benchmarking and performance evaluation
- Database monitoring and tuning
- Data quality, cleaning and lineage
- Data warehousing and mining
- Data privacy and security
- Managing uncertain, imprecise and inconsistent information
- Embedded, sensor, mobile databases and applications
- Multilingual data management
- Metadata management
- Novel Data Types
- Multimedia data management and mining
- Peer-to-peer data management
- Parallel and distributed databases
- Query processing and optimization
- Personalized information systems
- Text search and database querying
- Replication, caching, and publish-subscribe systems
- Social Networks
- Semi-structured data
- Web services
- Storage and transaction management
- Knowledge Management
- Data/information extraction and integration
- Classification and clustering
- Explanation and Knowledge Provenance
- Data mining applications
- Knowledge management and synthesis
- Frequent itemsets and sequential pattern mining
- Mining and representing data streams, web content, structure and usage data
- Link analysis and community discovery
- Mining and representing text and semi-structured data
- Mining and representing temporal and spatial data
- Novel data mining algorithms
- Mining and representing reviews, blogs & discussions
- Security and privacy issues
- Pre-processing, post-processing and visual data mining
- Semantic Integration
- Information Retrieval
- Digital libraries
- Cross-language and multi-lingual information retrieval
- Document summarization and question answering
- Document and query representation
- Hypertext and hypermedia management
- Document tracking, routing, and filtering
- Information retrieval evaluation, metrics
- Information retrieval applications
- Information visualization and exploration
- Information retrieval models and theory
- Interoperability and integration
- Interactive retrieval, user models and studies
- Multi-media and content-based information retrieval, music retrieval
- Metadata extraction and generation
- Personalization and personal information management
- Performance issues in information retrieval
- Test collections, experimental design
- Question answering
- Web and distributed information retrieval
- Text classification and clustering, machine learning
Who should Attend
Eading academic scientists, researchers and scholars
