International Conference on Information and Knowledge Management ICIKM on August 09-10, 2023 in Lagos, Nigeria

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 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 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 Management and Measurement of Intangibles Optimization of Organisations </div>