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

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Neural Networks and Artificial Intelligence, Machine Learning,    Scientific Computing and Data Science

entwickler.de Akademie mit Trainer Erkan Yanar

In diesem Intensivtraining steht Kubernetes im Mittelpunkt, denn schon jetzt kann man sagen, dass Kubernetes der Industriestandard für Orchestrierungsframeworks ist. Wo Docker Swarm Mode nicht mehr ausreicht, findet das komplexere Kubernetes seine Verwendung. In diesem DevOps Training wird zunächst der Aufbau von Kubernetes erklärt, der Fokus liegt jedoch auf der praktischen Verwendung, dem Ausrollen von Containern in und mit Kubernetes. Dabei erhält jeder Teilnehmende Zugriff auf einen eigenen Kubernetescluster mit mindestens 3 Knoten.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

Kubernetes, Schulung, Workshop, Informatik, DevOps, Camp, Training, Container, Kubernetescluster

Training in Computer Science, Courses,    Application Software

London Data Week is a collaboration between the London Office of Technology and Innovation (LOTI) and The Alan Turing Institute, supported by the Mayor of London.

London Data Week is back for 2024! Building on its success in 2023, this year will be even bigger and better, with events popping up across the capital from a variety of brilliant organisations - all with a shared vision to help make London the best city in the world for data innovation. Expect hands-on workshops, exhibitions, performances and thought-provoking discussion across the week (Monday 1 July - Sunday 7 July).

The South Asia Institute of Science and Engineering

The 7th International Conference on Big Data and Artificial Intelligence (BDAI2024) will be held at North China University of Technology, Beijing, China during July 5-7, 2024. The conference is co-sponsored by IEEE, Research Institute of Big Data Analytics at XJTLU, North China University of Technology, Beijing, China; Co-sponsored by Ocean University of China, China Agricultural University and South China University of Technology.

Ms. Ashley Liu;     Email: brandon@saise.org

Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Big Data Search and Mining; Artificial Intelligence;

The South Asia Institute of Science and Engineering

2024 8th High Performance Computing and Cluster Technologies Conference will be held in Beijing, China during July 5-7, 2024. HPCCT 2024 is co-sponsored by North China University of Technology, China and Xi’an Jiaotong-liverpool University, China. It provides a platform for academic exchange and showcasing achievements in the field of high performance computing and cluster technologies, delivering an academic feast for local and international experts and scholars.

Ms. Katharine Shui;     Email: brandon@saise.org

Parallel and distributed system architectures; Languages and compilers for high performance computing; Embedded systems; Peer-to-peer computing; Grid and cluster computing; Web services and Internet computing; Cloud computing; Utility computing; Performance evaluation and measurement;

entwickler.de Akademie

In diesem Curriculum erfahren Sie, wie Sie effektiv domänenspezifische Sprachen (DSLs) entwickeln, die dazu beitragen, komplexe Aufgaben zu vereinfachen. Wir vermitteln Ihnen nicht nur theoretisches Wissen, sondern geben Ihnen einen praxisnahen Einblick in die Welt des Programmiersprachendesigns und Compilerbaus.

entwickler.de Akademie;     Email: info@entwickler-akademie.de

DSL, Domänenspezifische Sprachen, Architekturentwurf, Programmiersprachendesigns, iSAQB-Zertifizierung

Training in Computer Science, Courses,    Application Software

IADIS

The growth of data both structured and unstructured will present challenges as well as opportunities for industries and academia over the next few years. With the explosive growth of data volumes, it is essential that real-time information that is of use to the business can be extracted to deliver better insights to decision-makers, understand complex patterns etc. Computational Intelligence tools offer adaptive mechanisms that enable the understanding of data in complex and changing environments. The main building blocks of computational intelligence involve computational modelling of biological and natural intelligent systems, multi-agent systems, hybrid intelligent systems etc. The conference is expected to provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Big Data Analytics, Intelligent Agents and Computational Intelligence. The conference programme will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks.

Conference Secretariat;     Email: secretariat@bigdaci.org

Data Mining, Big Data Analytics, Computer science, Intelligent Agents, Computational Intelligence

Database Technology and Design, Search Engines and Data Mining,    Algorithms and Data Structures

IADIS

International Conference on Digital Transformation and Innovation Management 2024 (DTIM 2024) In the rapidly evolving landscape of technology and business, the International Conference on Digital Transformation and Innovation Management (DTIM) serves as a premier platform for researchers, academicians, and industry practitioners to converge and explore cutting-edge advancements at the intersection of Information Systems and Management Innovation.

This conference aims to foster a collaborative environment that stimulates insightful discussions and paves the way for novel approaches to digital transformation, emphasizing its deep impact on organizational strategies, operations, and global societal progress.

Conference Secretariat;     Email: secretariat@digitaltransformation-conf.org

Computer science; Data Analytics and Business Intelligence; Emerging Technologies; Sustainable technologies; Cybersecurity; Digital business model; Quantum computing advancements; Internet of Things (IoT) applications; Sustainable technologies

Multidisciplinary or General Events in Informatics,    Internet of Things (IoT) and Sensor Networks

ACMSC

Email: amychou2020@163.com

Big Data Science and Foundations; Big Data Infrastructure; Big Data Management; Big Data Search and Mining;

Istanbul Technical University

EELISA Summer School on Platform Urbanism: How do digital platforms read the city and intervene in urban space? (4 ECTS). Applications are open to MSc. / PhD students from the EELISA universities, Early Career Researchers (maximum of 10 years after obtaining their PhD) and Professionals from all over the world.

Email: eelisa@itu.edu.tr

urbanism, platform urbanism, big data, digital platforms, data mining, urban studies

The South Asia Institute of Science and Engineering

We sincerely invite you to participate 2024 8th International Conference on Cloud and Big Data Computing. It will be held at Oxford Brookes University, Oxford, United Kingdom during August 15-17, 2024.

Ms. Vera Lee;     Email: brandon@saise.org

Algorithmic, experimental, prototyping and implementation; Big Data Algorithms, Applications and Services; Big Data Mining and Analytics; Big Data Processing and Querying; Cloud computing and semantic web technologies; Cloud Computing Techniques for Big Data Analysis; Cloud Solution Design Patterns; Cloud for Enterprise Business Transformation;

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The central topic of our Dagstuhl Seminar is the development, implementation, and evaluation of new AI technologies to support decision-making in management. A distinguishing feature is therefore innovative algorithms from the field of AI (e.g. explainable AI, generative AI, large language models, probabilistic ML, causal ML, etc.) that enable new insights in practice and beyond. This holds great potential for informing and improving decision-making.

Association for Computing Machinery (ACM)

The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. The KDD conferences feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Conversational Agents (CA) as frontends to Information Retrieval (IR) and Recommender Systems (RS) become more popular in everyday life, with a wider range of users and usages. The latest developments in Large Language Models (LLMs) will have tremendous consequences, especially for the workplace and education. In this Dagstuhl Perspectives Workshop, we want to focus on the evaluation of these conversational systems, as appropriate methods are still missing. The quality of these systems is limited in terms of personalization, veracity and correctness, bias, transparency, trustworthiness, and understandability. Thus, evaluation methods must address these shortcomings. Furthermore, user- and usage-oriented aspects should become a more prominent and integral component in evaluations, as the user population as well as the tasks these systems are used for become more heterogeneous. For this reason, the topic-centric view of relevance has to be extended to a broad range of facets which are important for the different usage scenarios. Therefore, suitable evaluation criteria have to be specified, which form the basis for defining appropriate measures. Most importantly, the range of evaluation methods must be revisited and extended, as popular methods like the Cranfield approach or crowdsourcing must be complemented by new evaluation methods and strategies specifically tailored to this new type of system.

Natural Language Processing, Computational Linguistics,    Implementation and Applications of Artificial Intelligence

International Academy of Computing Technology

2024 7th International Conference on Big Data and Machine Learning will be held in Xiamen, China during September 20-22, 2024. Machine Learning (ML) and Big Data Processing & Analytics (BDA) are both evolutionary fields of computing and the developments in these fields are complementing each other. The ever changing data landscape in modern digital world have resulted in newer ways of data processing frameworks in order to get meaningful insights which are unprecedented. ML based Big Data Processing has gained popularity and new developments are on the rise for efficient data processing. This field is witnessing unparalleled emergence of new methods and approaches for efficient data processing in order to discover interestingness for decision making. Thus, more and more ML based data processing approaches are being used for Big Data Processing. With the splurge data from different newer sources, heterogeneous nature of data, uncertain & unstructured data, the so called Big Data with all its characteristics (5 Vs) there is an ever increasing need to use approaches which aid in modelling and processing of these data, provide automated approach to data processing and so on. Thus the BDML conference series welcomes the scholars who are researching in this interesting & challenging domain of ML and Big Data Processing and provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Big Data and Machine Learning.

Email: Dunn@iact.net

Big Data; Machine learning;

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Modern algorithms for data analysis require the use of advanced probabilistic methods to achieve desirable scalability and accuracy guarantees. At the same time, modern data-analysis tasks require the use of advanced statistics to handle challenges such as testing for multiple hypotheses or identifying dependencies among data points, such as in time series or graphs. Probabilistic methods are also at the core theoretical computer-science areas, such as sublinear algorithms and average-case analysis. To obtain efficient data-analysis algorithms, probabilistic methods require careful balancing of theoretical and practical aspects. This Dagstuhl Seminar brings together researchers interested in statistical and probabilistic methods to design and analyze scalable algorithms for discovering knowledge in large and rich datasets. We plan to cover the following topics, among others.

Probability and Statistics, Game Theory,    Scientific Computing and Data Science

5th International Conference on Cloud, Big Data and IoT (CBIoT 2024) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Cloud, Big Data and IoT.

Email: cbiot@itcse2024.org

Cloud Computing Cloud Application, Infrastructure and Platforms Design Tool for Cloud Computing Cloud Business Service-Oriented Architecture in Cloud Computing Cloud Based, Parallel Processing Virtualization on Platforms in the Cloud Location Based Services, Presence, Availability, and Locality Mobile Clouds for New Millennium, Mobile Devices Social Clouds (Social Networks in the Cloud) Maintenance and Management of Cloud Computing Architecture Cloud Applications in Vertical Industries Cloud Storage and File Systems Networks within Cloud systems, the Storage Area, and to the Outside Virtualization in the Context of Cloud Computing Platforms System Integration, Virtual Compute Clusters Consolidation NoSQL Data Stores Performance, SLA Management and Enforcement Resource Provisioning Security Techniques for the Cloud Energy Management and Programming Environments Data storage and Management in Cloud Computing Case Studies and Theories in Cloud Computing The Open Cloud: Cloud Computing and Open Source Big Data Big Data Techniques, models and algorithms Big Data Infrastructure and platform Big Data Search and Mining Big Data Security, Privacy and Trust Big Data Applications, Bioinformatics, Multimedia etc Big Data Tools and systems Big Data Mining Big Data Management Cloud and grid computing for Big Data Machine Learning and AI for Big Data Big Data Analytics and Social Media 5G and Networks for Big Data IoT Internet of Things Security and Privacy for IoT IoT-enabled Innovation and Entrepreneurship IoT Applications and Services Experimental Results and Deployment Scenarios Electronics and Signal processing for IoT Connectivity and Networking

Distributed, Edge and Cloud Computing,    Internet of Things (IoT) and Sensor Networks

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy / IAEA

Nuclear Energy,    Didactics of Scientific Disciplines

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

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.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

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.

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

Asia Society of Researchers

The conference is sponsored by Southern University of Science and Technology, China, co-sponsored by Chongqing University, China.

Email: adam@asr.org

Communication and Information Theory; Networking and Security; Electronic Design and Technologies; Signal Processing and Digital Communications;

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.

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)

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

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.

Neural Networks and Artificial Intelligence, Machine Learning,    Scientific Computing and Data Science

Asia Society of Researchers

2024 4th International Conference on Advanced Enterprise Information System (AEIS 2024) will be held in Cambridge, UK during December 06-08, 2024.

Email: adam@asr.org

Enterprise Engineering; Models and Frameworks; Enterprise Knowledge Engineering and Management; Business Modelling and Business Process Management; EA Adoption and Governance;

Asia Society of Researchers

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.

Email: adam@asr.org

Automated knowledge aquisition and representation; Natural language understanding; Topic recognition and topic tracking, subject indexing; Event and anomaly detection - Sentiment analysis;

Institute of Mathematical Statistics (IMS)

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.

Probability and Statistics, Game Theory,    Scientific Computing and Data Science

YOUNG

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.

Email: saraxc17@163.com

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;

ETPUB

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.

Email: helen@academic.net

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;