Conferences  >  Informatics  >  Information & Knowledge Management, Big Data Computing  >  United States

The 8th International Conference on Algorithmic Decision Theory (ADT 2024) focuses on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics, and Operations Research in order to improve the theory and practice of modern decision support.

Database Technology and Design, Search Engines and Data Mining,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

Association for Computing Machinery (ACM)

The Conference on Information and Knowledge Management (CIKM) provides an international forum for presentation and discussion of research on information and knowledge management, as well as recent advances on data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high quality, applied and theoretical research findings. An important part of the conference is the Workshops program which focuses on timely research challenges and initiatives. CIKM has a strong tradition of workshops devoted to emerging areas of database management, IR, and related fields. Workshops vary from year to year.

Institute for Computational and Experimental Research in Mathematics (ICERM)

The unprecedented amount of genomic data that has become readily available presents specific challenges for the field of phylogenetic inference, which is concerned with estimating the evolutionary relationships among collections of species, populations, or sequences. These challenges include the development of evolutionary models that are sufficiently complex to be biologically realistic while remaining computationally tractable; deriving and implementing algorithms to efficiently estimate phylogenetic relationships that use models whose theoretical properties are well-understood and therefore interpretable; and devising ways to scale novel methodology developed to handle datasets that are increasingly large and complex. This workshop focuses on statistical modeling and the scaling of phylogenetic methods. Topics will include modeling (e.g. multispecies coalescent model with extension to networks; diversification models) and inference with speed to scale to genomic datasets, consistency, and robustness using statistical, combinatorial, and algebraic approaches. This workshop will present the latest advances in these areas and serve as a forum to spark new ideas and collaborations.

ICERM;     Email: info@icerm.brown.edu

statistical modeling, phylogenetics, combinatorics, algebra

Henry Stewart Events

Henry Stewart is delighted to announce the inaugural event Semantic Data: Taxonomy, Ontology and Knowledge Graphs taking place in New York, USA on October 23, 2024. The event will be co-located with DAM New York 2024. Chaired by Madi Weland Solomon, Head of Client Solutions, Graphifi, join us for a one-day conference focused on the critical role of data in shaping corporate advantage amidst the rise of AI technologies. This event delves into practical approaches to managing and leveraging data resources effectively, with a particular emphasis on taxonomies, ontologies, and knowledge graphs.

Email: JennyM@henrystewart.co.uk

Semantic Data, Semantic Layer, Linked Data, knowledge graph, semantic architect, NLP, natural language processing, semantic analysis, semantic taxonomy, taxonomies, ontology, ontologies, Ontologist, knowledge graphs, semantic web, RDF, Resource Description Framework, OWL, Ontology Web Language, Ontology, Ontologies, Semantic Technology, SPARQL, Interoperability, Information Science, Artificial Intelligence, Data Integration, Semantic Web, Taxonomies, Taxonomist

Economics, Business and Marketing,    e-Business, e-Government, Software as a service (SaaS)