Konferenzen  >  Informatik  >  Algorithmen und Datenstrukturen

Virtually every human-technology interaction, or sensor network, generates observations that are in some relation with each other. As a result, many data science problems can be viewed as a study of some properties of complex networks in which nodes represent the entities that are being studied and edges represent relations between these entities. Such networks are often large-scale, decentralized, and evolve dynamically over time. Modeling and mining complex networks in order to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study, including information and social sciences, economics, biology, and neuroscience. The aim of the 20th Workshop on Modelling and Mining Networks (WAW 2025) is to further the understanding of networks that arise in theoretical as well as applied domains. The goal is also to stimulate the development of high-performance and scalable algorithms that exploit these networks. The workshop welcomes the researchers who are working on graph-theoretic and algorithmic aspects of networks represented as graphs or hypergraphs and other higher order structures.

Simulation,    Komplexe Netzwerke

The MIP European Workshop 2025 is supported by the Mixed Integer Programming Society (MIPS), a section of the Mathematical Optimization Society (MOS).

The Mixed Integer Programming (MIP) Workshop is a single-track workshop highlighting the latest trends in integer programming and discrete optimization, with speakers chosen by invitation. It brings together researchers, students, and industry actors from around the globe, fostering collaboration and providing a showcase for students, early career academics, and developments in industry and novel applications. In this edition, we are putting a special focus on bringing a considerable number of speakers based in different countries of South America.

The MIP European Workshop is part of the MIP International Workshop series, held in addition to the classical MIP Workshop.

Optimierungsrechnung, Entscheidungsunterstützung,    Kurse und Veranstaltungen für Studenten der Mathematik

International Association of Computer Science and Information Technology

The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025) will be held in Kyoto, Japan during July 25-27, 2025. MLMI 2025 is organized by Ritsumeikan University, Japan.

Email: aimee@iacsit.net

Artificial Neural Networks; Genetic Algorithms; Machine Learning; Automata, Logic and Games; Intelligent Systems; Bayesian Networks; Logic and Proof; Commercial Software;

Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen,    Datenbanktechlologie, Suchmaschinen und Data-Mining

Semmelweis University Institute of Biostatistics and Network Science

Join us for the BIOMEDICAL DATA SCIENCE Summer School & Conference – two interconnected events where students receive intensive training in health data science (July 28 – August 5), followed by a scientific conference to share cutting-edge work in data-intensive biological and medical research (August 6 - 8).

Institute of Biostatistics and Network Science;     Email: biostat@semmelweis.hu

Machine learning and AI applications in biomedical research Multi-omics data integration and analysis Medical imaging and computer vision in healthcare Natural language processing for clinical and biomedical texts Explainable AI and trustworthy machine learning in medicine Computational modeling of biological systems Wearable and sensor-based health data analytics Privacy-preserving techniques for biomedical data Digital health and personalized medicine Drug discovery and biomarker identification through data science Network science tools in biomedical research Causal inference in biomedical research Biostatistical approaches for biomedical data analysis

Wissenschaftliches Rechnen und Datenwissenschaft,    Klinisches Datenmanagement, E-Health

Society for Industrial and Applied Mathematics (SIAM)

Angewandte Mathematik (allgem.),    Numerische Analysis

Semmelweis University Institute of Biostatistics and Network Science

Join us for the BIOMEDICAL DATA SCIENCE Summer School & Conference – two interconnected events where students receive intensive training in health data science (July 28 – August 5), followed by a scientific conference to share cutting-edge work in data-intensive biological and medical research (August 6 - 8).

Email: biostat@semmelweis.hu

Machine learning and AI applications in biomedical research Multi-omics data integration and analysis Medical imaging and computer vision in healthcare Natural language processing for clinical and biomedical texts Explainable AI and trustworthy machine learning in medicine Computational modeling of biological systems Wearable and sensor-based health data analytics Privacy-preserving techniques for biomedical data Digital health and personalized medicine Drug discovery and biomarker identification through data science Network science tools in biomedical research Causal inference in biomedical research Biostatistical approaches for biomedical data analysis

Wissenschaftliches Rechnen und Datenwissenschaft,    Klinisches Datenmanagement, E-Health

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Constraint optimization is today a de facto practical approach to efficiently solving various types of NP-hard optimization problems arising from real-world settings. This is primarily due to significant advances in practical algorithms and implementation-level techniques, which have resulted in increasingly efficient and robust constraint optimization solvers for a range of NP-hard declarative languages. However, the need for even more efficient and robust constraint optimization solvers continues to grow, as in several contexts more and more complex optimization problems need to be solved.

entwickler.de Akademie | Software & Support Media GmbH

Kubernetes gilt als mächtig – und mitunter herausfordernd. In diesem Camp lernen Sie die Grundlagen verständlich und praxisnah kennen. Dank einer steilen Lernkurve bewegen Sie sich schnell sicher in der Kubernetes-Welt und sprechen bald die Sprache der Profis. Auf einem eigenen Cluster mit drei Knoten üben Sie Ressourcennutzung, Deployment und Monitoring – unterstützt durch einsteigerfreundliche Tipps, Tools und Best Practices für einen sicheren Betrieb. In drei intensiven Tagen steigen Sie zunächst mit einer verständlichen Einführung in die grundlegenden Konzepte von Kubernetes ein. Dazu gehören ein Überblick über die Plattform, zentrale Begrifflichkeiten sowie erste praktische Schritte wie das Arbeiten mit Namespaces, Deployments und Upgrades. Anschließend widmen Sie sich den essenziellen Bausteinen: Sie lernen, wie Pods – die kleinste Recheneinheit in Kubernetes – funktionieren, wie Health Checks und Scheduling durchgeführt werden und wie Deployments sowie ReplicaSets effizient genutzt werden. Auch Themen wie Volume Management, Services, DNS und Service Discovery sowie Rollout-Strategien und Ingress werden praxisnah behandelt. Im fortgeschrittenen Teil des Camps beschäftigen Sie sich mit der Anwendung komplexerer Funktionen, darunter Jobs und Cronjobs, das Monitoring mit Prometheus, Logging mit Elastic sowie Sicherheitsaspekte wie Role-Based Access Control (RBAC). So erhalten Sie einen umfassenden Einblick in die Arbeit mit Kubernetes – vom ersten Deployment bis zum sicheren Betrieb produktiver Anwendungen.

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

Kubernetes, Overview, Begrifflichkeiten, Namespaces, Deployments, Upgrades, Pods, Health Checks, Scheduling, ReplicaSets, DNS, ServiceDiscovery, Cronjobs, Monitoring, Logging, Security, RBAC, DevOPs

Informationssicherheit und Datenschutz,    Informatik Ausbildung, Lehrgänge

The Latin American Algorithms, Graphs, and Optimization Symposium (LAGOS) is a biennial event that brings together researchers and practitioners from around the world. Since 2001, LAGOS has served as a key forum for the exchange of ideas and collaboration. It is the merger of two Latin American conferences: the Brazilian Symposium on Graphs, Algorithms, and Combinatorics (GRACO) and the Latin American Conference on Combinatorics, Graphs, and Applications (LACGA).

Graphentheorie und Kombinatorik,    Optimierungsrechnung, Entscheidungsunterstützung

MIP South America is supported by the Mixed Integer Programming Society (MIPS), a section of the Mathematical Optimization Society (MOS).

The Mixed Integer Programming (MIP) Workshop is a single-track workshop highlighting the latest trends in integer programming and discrete optimization, with speakers chosen by invitation. It brings together researchers, students, and industry actors from around the globe, fostering collaboration and providing a showcase for students, early career academics, and developments in industry and novel applications. In this edition, we are putting a special focus on bringing a considerable number of speakers based in different countries of South America.

Optimierungsrechnung, Entscheidungsunterstützung,    Kurse und Veranstaltungen für Studenten der Mathematik