International Conference on Information and Knowledge Technology ICIKT on September 12-13, 2024 in Amsterdam, Netherlands

Databases:
Access methods and indexing
Authorization, data privacy and security
Concurrency control and recovery
Data adaptability, reusability and quality
Database languages and models
Information integration, data provenance, probabilistic databases
Mobile databases and distributed data management
Peer-to-peer, parallel and distributed databases
Query processing, optimization and performance
Real-time and active databases
Scientific and biological databases
Semantic Web
Semi-structured data processing, XML filtering and routing
Stream-based processing and network databases
String databases, blogs and social search
Systems, middleware, applications and experiences
Temporal, spatial and multimedia databases
User experience: languages, models, interfaces

Information Retrieval:
Citation Analysis, Social Networks for IR
Distributed IR, Peer to Peer Search
Domain-specific IR (e.g., Legal IR, Genome, Mobile IR, IR for chemical structures)
Filtering (e.g., Routing, Collaborative filtering, Topic tracking, Recommender systems)
Foundation of Information Retrieval (e.g., theory, ranking)
IR Architectures, Scalability and Efficiency
IR Evaluation
Language Specific IR (Multi-lingual, Cross-lingual, NLP, Question and Answer)
Machine Learning for IR
Multimedia IR (Audio, Speech, Video, Image)
Semi-Structured Information Retrieval
Distributed IR, Peer to Peer Search
User Modeling for IR, Search Personalization
User Studies, Interactive Information Retrieval, Interfaces and PIM
Web Search, Advertising, Adversarial
Other topics related to IR (Privacy, Spam, Feature Engineering, et. al.)

Knowledge Management:
Advertising and Optimization
Classification and Clustering
Data pre- and post-Processing
Information Extraction
Information Filtering and Recommender Systems
Knowledge Synthesis and Visualization
Large-scale statistical techniques
Link and Graph Mining
Semantic Techniques
Temporal and Spatial data Mining
Text Mining
Biometrics