Konferenzen  >  Informatik  >  Informations & Wissensmanagement, Big Data Computing

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1
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling
11. Jun 2023 - 17. Jun 2026 • Oberwolfach, Deutschland
Veranstalter:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1494948
2
Dagstuhl Research Meeting — Aligning Technology Architectures with Cross-Domain Metadata Models
06. Okt 2024 - 11. Okt 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Data-sharing across domain and infrastructure boundaries is becoming more common, and significant work has been done in aligning many of the standard model describing the information and data being exchanged. In order to guarantee the scalability and practicality of data-sharing implementations, these standard models need to be aligned with the emerging technology architectures designed to support exchange networks at this scale. This workshop will look at how the standard metadata models for cross-domain use - including DDI-CDI and related models - and architectural approaches can best be used to leverage the strengths of both.
Eintrags-ID:
1566231
3
Dagstuhl Research Meeting — Evaluating and Refining Cross-Domain Metadata Exchange Frameworks
13. Okt 2024 - 18. Okt 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
Through a series of Dagstuhl hosted workshops, and the CODATA-DDI collaboration, we have developed a framework for cross-domain interoperability, published by the EC-funded WorldFAIR project. This framework is being employed both within data intensive science and and between the scientific world and the world of official data, collected to inform policy making, including in relation to the Sustainable Development Goals and other components of the UN Agenda. The effective use and uptake of such a framework will require methodologies to evaluate implementations. This workshop will explore such approaches, building on current work for FAIR assessment, and the experience gained from implementation in a range of case studies, including those in WorldFAIR. The workshop will focus on improvements to evaluation metrics, and to the metadata exchange frameworks themselves.
Eintrags-ID:
1566263
4
ADT 2024 — 8th International Conference on Algorithmic Decision Theory
14. Okt 2024 - 16. Okt 2024 • DIMACS, Rutgers University, New Brunswick, NJ, Vereinigte Staaten
Zusammenfassung:
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.
Eintrags-ID:
1625154
5
ICCIS 2024 — 2024 8th International Conference on Communication and Information Systems
18. Okt 2024 - 20. Okt 2024 • Shenzhen, China
Veranstalter:
Asia Society of Researchers
Zusammenfassung:
The conference is sponsored by Southern University of Science and Technology, China, co-sponsored by Chongqing University, China.
Kontakt:
Email: adam@asr.org
Themen:
Communication and Information Theory; Networking and Security; Electronic Design and Technologies; Signal Processing and Digital Communications;
Eintrags-ID:
1597791
Verwandte Fachgebiete:
6
M-PREF 2024 — 15th Multidisciplinary Workshop on Advances in Preference Handling
19. Okt 2024 - 20. Okt 2024 • Santiago de Compostela, Spanien
Zusammenfassung:
The 15th Multidisciplinary Workshop on Advances in Preference Handling (M-PREF 2024) addresses all computational aspects of preference handling. This includes methods for the elicitation, learning, modeling, representation, aggregation, and management of preferences and for reasoning about preferences. The workshop studies the usage of preferences in computational tasks from decision making, database querying, web search, personalized human-computer interaction, personalized recommender systems, e-commerce, multi-agent systems, game theory, social choice, combinatorial optimization, planning and robotics, automated problem solving, perception and natural language understanding and other computational tasks involving choices. The workshop seeks to improve the overall understanding of and best methodologies for preferences in order to realize their benefits in the multiplicity of tasks for which they are used. Another important goal is to provide cross-fertilization between the numerous sub-fields that work with preferences.
Eintrags-ID:
1625111
7
CIKM 2024 — 33rd ACM International Conference on Information and Knowledge Management
21. Okt 2024 - 25. Okt 2024 • Boise , ID, Vereinigte Staaten
Veranstalter:
Association for Computing Machinery (ACM)
Zusammenfassung:
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.
Eintrags-ID:
1605510
8
From Phylogenetics to Phylogenomics: Mathematical and Statistical Challenges in the Era of Big Data
21. Okt 2024 - 25. Okt 2024 • Providence, RI, Vereinigte Staaten
Veranstalter:
Institute for Computational and Experimental Research in Mathematics (ICERM)
Zusammenfassung:
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.
Kontakt:
ICERM;     Email: info@icerm.brown.edu
Themen:
statistical modeling, phylogenetics, combinatorics, algebra
Eintrags-ID:
1624194
9
Semantic Data 2024 - NY — Semantic Data 2024: Taxonomy, Ontology and Knowledge Graphs
23. Okt 2024 • New York, Vereinigte Staaten
Veranstalter:
Henry Stewart Events
Zusammenfassung:
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.
Kontakt:
Email: JennyM@henrystewart.co.uk
Themen:
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
Eintrags-ID:
1619769
10
Dagstuhl Research Meeting — A long-term strategy for NFDI for DataScience and Artificial Intelligence
28. Okt 2024 - 29. Okt 2024 • Schloss Dagstuhl, Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Zusammenfassung:
The vision of NFDI4DS is to support all steps of the complex and interdisciplinary research data lifecycle in Data Science and Artificial Intelligence. The overarching objective of NFDI4DS is the development, establishment, and sustainment of a national research data infrastructure for the Data Science and Artificial Intelligence community. The key idea is to work towards increasing the transparency, reproducibility and fairness of Data Science and Artificial Intelligence projects, by making all digital artifacts available, interlinking them, and offering innovative tools and services. Within this Dagstuhl Research Meeting, the NFDI4DS partners will reflect on their progress so far, and will work on their long-term strategy.
Eintrags-ID:
1566295
11
Neo4j NODES 2024
07. Nov 2024 • Online, Vereinigte Staaten
Veranstalter:
Neo4j Inc
Zusammenfassung:
NODES 2024 is a free online developer conference for anyone interested in knowledge graphs, AI, and intelligent applications. This skills-building event, which will run for 24 hours and include technical presentations by Neo4j and community experts, will have four tracks and 145+ sessions. Check out the agenda.
Kontakt:
Community Manager;     Tel.: [408.315.2514];     Email: Yolande.Poirier@neo4j.com
Themen:
Artificial Intelligence, Software, Machine learning, Graph, RAG, GraphRAG, Algorithms, Visualization, Application Development, Graph Database, Knowledge Graphs, Data Science
Eintrags-ID:
1639975
12
AEIS 2024 — 2024 4th International Conference on Advanced Enterprise Information System
06. Dez 2024 - 08. Dez 2024 • Cambridge, Großbritannien
Veranstalter:
Asia Society of Researchers
Zusammenfassung:
2024 4th International Conference on Advanced Enterprise Information System (AEIS 2024) will be held in Cambridge, UK during December 06-08, 2024.
Kontakt:
Email: adam@asr.org
Themen:
Enterprise Engineering; Models and Frameworks; Enterprise Knowledge Engineering and Management; Business Modelling and Business Process Management; EA Adoption and Governance;
Eintrags-ID:
1608988
13
NLPIR 2024 — 2024 8th International Conference on Natural Language Processing and Information Retrieval
13. Dez 2024 - 15. Dez 2024 • Okayama, Japan
Veranstalter:
Asia Society of Researchers
Zusammenfassung:
2024 8th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2024) will bring together researchers, which devoted their work to progress in the above described timely tasks. It will be held in Okayama, Japan during December 13-15, 2024.
Kontakt:
Email: adam@asr.org
Themen:
Automated knowledge aquisition and representation; Natural language understanding; Topic recognition and topic tracking, subject indexing; Event and anomaly detection - Sentiment analysis;
Eintrags-ID:
1599800
14
DMBD'2024 — The Ninth International Conference on Data Mining and Big Data
13. Dez 2024 - 15. Dez 2024 • Ho Chi Minh City, Vietnam
Veranstalter:
Institute for Artificial Intelligence, Peking University
Zusammenfassung:
The Ninth International Conference on Data Mining and Big Data ([*ACRONYM*]) serves as an international forum for researchers and practitioners to exchange latest advantages in theories, algorithms, models, and applications of data mining and big data as well as artificial intelligence techniques. Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. Big data contains huge amount of data and information and is worth researching in depth. [*ACRONYM*] is the ninth event after the preceding Sanya, Beijing, Guangzhou, Belgrade, Chiang Mai, Shanghai, Fukuoka and Bali events where more than hundreds of delegates from all over the world to attend and share their latest achievements, innovative ideas, marvelous designs and excel implementations.
Kontakt:
Email: dmbd2024@iasei.org
Eintrags-ID:
1637414
15
ICSDS — IMS International Conference on Statistics and Data Science
16. Dez 2024 - 21. Dez 2024 • Nizza, Frankreich
Veranstalter:
Institute of Mathematical Statistics (IMS)
Zusammenfassung:
The objective of ICSDS is to bring together researchers in statistics and data science from academia, industry, and government in a stimulating setting to exchange ideas on the developments of modern statistics, machine learning, and broadly defined theory, methods, and applications in data science. There will be a student paper award competition, in addition to plenary sessions, and invited, contributed and poster sessions. Young researchers are particularly encouraged to participate, as a portion of the invited sessions will be designated for young researchers.
Eintrags-ID:
1607680
16
BDPC 2025 — 2025 3rd International Conference on Big Data and Privacy Computing
10. Jan 2025 - 12. Jan 2025 • Fuzhou, China
Veranstalter:
YOUNG
Zusammenfassung:
2025 3rd International Conference on Big Data and Privacy Computing will be held in Fuzhou, China during January 10-12, 2025. The event is sponsored by Fuzhou University, China.
Kontakt:
Email: saraxc17@163.com
Themen:
Big Data Architecture and Systems; Data Encryption and Privacy Protection; Big Data Analysis and Computing; Big Data Science and Applications; Data Security and Blockchain Application Technology;
Eintrags-ID:
1609463
17
Dagstuhl-Seminar — Multi-Faceted Visual Process Mining and Analytics
06. Apr 2025 - 11. Apr 2025 • Schloss Dagstuhl – Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
Process mining and visual analytics are separate disciplines with the common goal of helping humans gain insight into and extract knowledge about relevant phenomena from complex data. Process mining (PM) is a rapidly growing discipline blending machine learning and data mining concepts with ideas taken from the field of business process management (BPM). It utilizes event data recorded by IT systems that support business process execution for a variety of tasks, from the automated discovery of graphical process models to operational support. Visual Analytics (VA) is a multidisciplinary approach that combines interactive, visual, and analytical methods to make complex phenomena more comprehensible, facilitate new insights, and enable knowledge discovery. VA research happens at the intersection of data mining and knowledge discovery, information visualization, human-computer interaction, and cognitive science.
Eintrags-ID:
1626764
18
Dagstuhl-Seminar — Holistic Graph-Processing Systems: Enabling Real-World Scale and Societal Impact
21. Apr 2025 - 25. Apr 2025 • Schloss Dagstuhl – Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
In today’s digital landscape, complexity grows with increasing data volume and degree of interconnection. A suitable data abstraction is crucial for comprehending and navigating this dense network of connections. Starting from Euler’s pioneering work on The Bridges of Konigsberg in 1735, graphs have steadily evolved as a robust and adaptable conceptual framework. Graphs are universal representations of concepts, where nodes are markers for distinct entities and edges delineate their interrelations, further enriched with detailed annotations when necessary. Graphs are successful in various domains, like bioinformatics, e-commerce, logistics and transportation networks, urban planning, and even pandemic analysis or vaccine development (e.g., during COVID-19).
Eintrags-ID:
1626752
19
IC&C 2025 — 2025 the 3rd International Conference on Intelligent Control and Computing
25. Apr 2025 - 27. Apr 2025 • Changchun, China
Veranstalter:
ETPUB
Zusammenfassung:
2025 the 3rd International Conference on Intelligent Control and Computing (IC&C 2025) will take place in Changchun, China, from April 25 to 27, 2025. The goal of this conference is to foster pure and applied researches in recognition of academic and industry, and to encourage interdisciplinary and international collaboration for the participants.The conference would be an ideal platform for keeping up with advances and changes to a consistently morphing field, we sincerely look forward to some exemplary and inspirational project experiences and innovations.
Kontakt:
Email: helen@academic.net
Themen:
Autonomous Systems; Decision Support Systems; Learning and Adaptive Control Systems; Intelligent Fault Detection and Identification; Intelligent Control Theory and Applications; Network Intelligence and Network Control; Hybrid Intelligent Systems; Neural Networks Based Control Systems; Fuzzy Control;
Eintrags-ID:
1626589
20
Dagstuhl-Seminar — Challenges and Opportunities of Table Representation Learning
27. Apr 2025 - 02. Mai 2025 • Schloss Dagstuhl – Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
The increasing amount of data being collected, stored, and analyzed induces a need for efficient, scalable, and robust methods to handle this data. Representation learning, i.e. the practice of leveraging neural networks to obtain generic representations of data objects, has been shown effective for various applications over data modalities such as images and text. More recently, representation learning has shown initial impressive capabilities on structured data (e.g. relational tables in databases), for a limited set of tasks in data management and analysis, such as data cleaning, insight retrieval, and data analytics. Most applications traditionally relied on heuristics and statistics, which are limited in robustness, scale, and accuracy. The ability to learn abstract representations across tables unlocked new opportunities, such as pretrained models for data augmentation and machine learning, that address these limitations. This emerging research area, which we refer to as Table Representation Learning (TRL), receives increasing interest from industry as well as academia , in particular in the communities of data management, machine learning, and natural language processing. This growing interest is a result of the high potential impact of TRL in industry given the abundance of tables in the organizational data landscape, the large range of high-value applications relying on tables, and the early state of TRL research so far.
Eintrags-ID:
1626805
21
ICBDC 2025 — 2025 10th International Conference on Big Data and Computing
16. Mai 2025 - 18. Mai 2025 • Singapore, Singapur
Veranstalter:
ICBDC2025 is technically sponsored by Sensors and System Society of Singapore, Newcastle Australia Institute of Higher Education Pte Ltd, Singapore, supported by Harbin Engineering University, China.
Zusammenfassung:
2025 10th International Conference on Big Data and Computing (ICBDC 2025) will be held during May 16-18, 2025 in Singapore. The aim of ICBDC 2025 is to present the latest research and results of scientists related to Big Data and Computing topics.
Kontakt:
Email: Dunn@iact.net
Themen:
Algorithmic, experimental, prototyping and implementation; Big Data Algorithms, Applications and Services; Big Data Mining and Analytics; Big Data Processing and Querying; Cloud and Big Data for Internet of Things (IoT); Computing, scheduling and resource management for sustainability; Government and Industrial Experiences for Cloud and Big Data; Green Computing and Networking Technologies for Cloud and Big Data;
Eintrags-ID:
1633796
Verwandte Fachgebiete:
22
ICoPESA 2025 — 2025 9th International Conference on Power Energy Systems and Applications
20. Jun 2025 - 22. Jun 2025 • Nanjing, China
Veranstalter:
CZESND
Zusammenfassung:
2025 9th International Conference on Power Energy Systems and Applications (ICoPESA) will be held at Nanjing, China during June 20-22, 2025. ICoPESA 2025 is sponsored by Nanjing University of Aeronautics and Astronautics. The conference continues to retain its tradition of high-quality conference and will open up an opportunity for academics and industrial professionals worldwide to exchange their knowledge of the state-of-the-art power energy systems and applications, the future role of power energy systems in ecological revolution will be explored at ICoPESA.
Kontakt:
Email: Nazal@sina.com
Themen:
Power system solutions towards a net-zero future; Energy efficiency and low carbon emission; Big data & AI in energy internet; New-type power system; Power electronics application in power systems; Aerospace power electronics; Renewable energy and energy storage systems; Electric power sustainable technologies; Transportation electrification and more-electric-aircraft; Power equipment planning & asset management;
Eintrags-ID:
1639190
23
Summer School — Data Management Techniques
22. Jun 2025 - 26. Jun 2025 • Schloss Dagstuhl – Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
This summer school is an intensive course on software techniques for data management and database management. Topics include database command translation and query optimization, query execution and indexing, row- and column-oriented storage structures and algorithms, optimistic and pessimistic concurrency control, logging and recovery, replication and high availability, scalability and cloud computing, and more. The goal of lectures and presentations is to understand classic techniques and to link them to industrial reality and to research opportunities. The target audience are recent MS graduates who have already taken 2-3 courses covering data management software and who are embarking on a career in industrial development or in academic research in related topics.
Eintrags-ID:
1626919
24
Fortbildung — Autumn School 2025 for Information Retrieval and Information Foraging (ASIRF).
24. Aug 2025 - 29. Aug 2025 • Schloss Dagstuhl – Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
The Autumn School for Information Retrieval and Information Foraging (ASIRF) focuses on recent developments in Information Retrieval and Information-Seeking behavior and their applications. Information Retrieval deals with searching in huge amounts of unstructured data. In many professional fields of work and everyday life, access to text data via search engines is one of the most important forms of access to knowledge. Information Foraging aims to model the entire process from the awareness of an information problem through selecting appropriate information sources to the actual search.

Students and lecturers will live together for a week at Schloss Dagstuhl, which guarantees the school's traditionally highly communicative and interactive atmosphere. The intended audience of ASIRF are doctoral students and young researchers working in Information Retrieval, Information Foraging, or using concepts or methods from these fields in their research

Eintrags-ID:
1626966
25
Forschungstreffen — The Provenance Chain: Connecting and Reusing Data, Models, and Experiments
16. Nov 2025 - 21. Nov 2025 • Schloss Dagstuhl – Wadern, Deutschland
Veranstalter:
Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
More and more, we find that the provenance of data is a key missing ingredient in the information set made available to us. Provenance - the origination and intention of data as collected - provides significant challenges for modern networks. While standards exist for describing data and its analysis - and even for parts of the provenance chain - there is no standard mechanism for tying together all relevant information across the series of steps which fully describe the origination of data. This workshop explores how the many contextualising factors needed to support responsible and accurate data reuse can be described, allowing for the needed chaining of provenance steps.
Eintrags-ID:
1627002


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