Conferences  >  Informatics  >  Database Technology and Design, Search Engines and Data Mining

KAOUN International

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GITEX ASIA MARKETING;     Phone: [0555732365];     Email: marketing@gitexasia.com

Information Security and Information Privacy,    Information & Knowledge Management, Big Data Computing

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The Cologne Information Retrieval Group (CIR) is working on the intersection of computer and information science to investigate the domain of information retrieval. Current research is on topics like quantitative modeling of user behavior in information retrieval systems, simulation, access and reusability of information from preprint servers in life sciences, technology, and methodology for infrastructures for evaluating IR living lab principles, or the influence of search engines on political discourses. In the research retreat, new research topics and collaborations will be discussed.

entwickler.de Akademie

Komplexe Softwareprojekte scheitern oft an Missverständnissen zwischen Fachbereich und Technik. Domain-driven Design (DDD) setzt genau dort an: mit einer gemeinsamen Sprache, einem klaren Modell und gezielten Mustern zur Strukturierung von Domänenwissen. Im Zentrum stehen die enge Zusammenarbeit mit dem Fachbereich, strategische Abgrenzung von Kontexten und eine modellgetriebene Architekturarbeit, die Fachlichkeit und Code wirksam verbindet. Das Modul DDD vermittelt dir das methodische Fundament, um mit Domain-driven Design komplexe fachliche Anforderungen in klar strukturierte, wartbare Softwarearchitekturen zu überführen. Du lernst, gemeinsam mit der Domäne tragfähige Fachmodelle zu entwickeln, strategische (z. B. Bounded Contexts, Context Maps) und taktische (z. B. Aggregates, Entities, Value Objects) Designentscheidungen zu treffen und diese konsistent im Team zu kommunizieren – für mehr Klarheit, Verständlichkeit und Anschlussfähigkeit in Modell und Code.

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

Domain-driven Design, DDD, Software-Architektur, Software Design, Entwickler-Workshop, Advanced Training, Microservices, Modellierung, Business-Logik, Strategisches Design, Aggregates, Bounded Context, Event Storming, Refactoring, Software-Entwicklung, Code-Qualität, Architektur-Patterns, Software-Engineering

Training in Computer Science, Courses,    Software Engineering

MIPRO Croatian Society

The Business Intelligence Systems and Big Data Processing (BIS-BDP) conference focuses on modern applications and technologies for gathering, accessing, and analyzing data to support deeper insights into business operations. Building on a strong foundation in data warehousing (DW) and traditional multidimensional analysis, the scope has expanded to include real-time, spatiotemporal, and distributed data processing. Special attention is given to the role of artificial intelligence (AI), particularly generative AI, in transforming how organizations extract insights from data.

Email: boris.vrdoljak@fer.hr

Data Warehouse and OLAP, Modern DW Architecture, Business Intelligence, Big Data Analytics, Big Data Processing, Big Data Analytics Applications, Data-Centric AI, Predictive and Descriptive Analytics and its Application, Analytics for the Cloud Infrastructure, SNA, Analytics for Data Streams and Sensor Data, Edge Analytics, Analytics for Temporal, Spatial, Spatio-temporal and Mobile Data, Text, Web and Sentiment Analysis, Semantic Web and Semantic Data Integration, AI-powered Business Intelligence and Decision Support Systems, Machine Learning Applications in Business and Industry, Generative AI for Automated Report Generation, Text Summarization, and Data Narratives, AI-driven Forecasting and Strategic Planning, XAI in Business Intelligence, Responsible and Ethical Use of AI in Business Data Analytics, Integration of LLMs in Business Systems, Human-AI Collaboration in Decision-Making Processes, AI for Anomaly Detection, Risk Analysis, and Fraud Detection, Generative AI in Customer Support, Personalization, and CRM, AI-augmented Data Visualization and Dashboards, Use of AI and GenAI in Educational Data Analytics and Adaptive Learning Systems, Intelligent Agents and Autonomous Business Systems, AI in Enterprise Knowledge Management and Semantic Reasoning, Natural Language Interfaces for Business Data Exploration, Education Management Information Systems, BPM, Integration of Digital Twin and Big Data Technology, Prescriptive Analytics and Optimization Systems

Information & Knowledge Management, Big Data Computing,    Distributed, Edge and Cloud Computing

The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. The conference includes a fascinating technical program with research and industrial talks, tutorials, demos, and focused workshops. It also hosts a poster session to learn about innovative technology, an industrial exhibition to meet companies and publishers, and a careers-in-industry panel with representatives from leading companies.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

music information retrieval; audio signal processing; deep learning; open source; user interaction and interfaces

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar is relevant to the diverse fields of data management, data engineering, human computation and crowdsourcing, data-driven decision-making, responsible AI, and data governance. The seminar looks at three perspectives: Human, Computational, and Institutional. There is an evident need to bring together perspectives from domain experts who understand the properties and semantics of the datasets (human perspective); from algorithmic advancements that can help improve data quality (computational perspective); and from institutional imperatives including regulations, standards and organizational policies that create necessary safeguards for governance of data pipeline processes (institutional perspective).

Data Quality; Bias and Fairness; Responsible AI

Human-Computer Interaction, User Experience, Virtual Reality,    Social Networks and Social Aspects of Information Technology

IADIS

The BigDaCI’26 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. BigDaCI’26 invites authors to submit their original and unpublished work that demonstrate current research using big data analytics, computational intelligence and other intelligent computing techniques and their applications in science, technology, business and commerce.

Conference Secretariat;     Email: secretariat@bigdaci.org

Big Data Algorithms and Architectures, Foundations of big data processing, Programming Techniques, Analytics and Metrics, Representation Formats, Cloud Computing Techniques, Mobile and Pervasive Computing, Data Management, Data Quality, Social Network, Protection, Integrity and Privacy, Distributed Data Mining, Visualization, Big Data Applications, Web Intelligence, Humanities, Stock Market Analysis, Scalable Cloud Data Management, Privacy and Security, Geosciences, Manufacturing and Supply Chains, Earth Science, Biomedical Informatics, High dimensional data, Social Networks, B2B Marketing and Sales, Healthcare, Sustainable development, Advanced Manufacturing, Computational Intelligent Frameworks for Big Data Processing, Artificial Neural Networks and Learning methods, Knowledge based systems, Uncertainty management, Global optimization methods, Intelligent Control Systems, Intelligent Internet Systems, Intelligent Software Systems, Parallel Computation, Pattern Recognition, Systems Modelling, Web Mining Multi-Agent Systems: Models, Architectures and Applications, Ontologies, Computational Complexity, Mobile Agents, Negotiation Strategies, Security, Privacy and Trust, Agent Applications, Technologies and Trends, Agent Models and Architectures, Web Agents, Protocols and Standards, Data Mining Topics and Applications, Parallel and distributed data mining algorithms, Data streams mining, Graph mining, Spatial data mining, Text video, multimedia data mining, Web mining, Pre-processing techniques, Visualization, Security and information hiding in data mining, Data Mining Applications

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Previous seminars focused on robustness in processing once data were appropriately organized. This seminar will explicitly explore the interplay between organizing and querying that data concurrently in the context of dynamic streaming systems.

University of York Europe Campus

The 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS'2026) invites researchers, practitioners, and innovators to explore the intersection of AI, web technologies, semantic systems, and intelligent data mining. As the web evolves into a dynamic, intelligent ecosystem powered by machine intelligence, knowledge graphs, and agentic systems, WIMS'2026 provides a platform to discuss cutting-edge research, applications, and societal impacts. WIMS'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 18th International Symposium on Intelligent Distributed Computing (IDC). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

WIMS Secretariat;     Email: contact.for.more.info@proton.me

Track 1: Web Intelligence & Agentic AI, Track 2: Machine Intelligence & Learning Systems, Track 3: Semantics & Knowledge Technologies, Track 4: Human-Centered Web Intelligence, Track 5: Web Infrastructure & Systems, Track 6: Applications & Societal Impact.

Information & Knowledge Management, Big Data Computing,    Implementation and Applications of Artificial Intelligence

University of York Europe Campus

The main objective of the BCI series of conferences is to provide a forum for discussions and dissemination of research accomplishments in Computer Science and Information Technology and to promote interaction and collaboration among scientists from the Balkan countries and the rest of the world, and to encourage involvement of young researchers from the region.

BCI'2026 accepts original papers dealing with both theory and/or practical aspects of wide areas of ICT. BCI'2026 will be co-located with the 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS), and the 18th International Symposium on Intelligent Distributed Computing (IDC). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

BCI Secretariat;     Email: contact.for.more.info@proton.me

Computer Systems Organization, Hardware, Networks, Software Engineering, Theory of Computation, Mathematics of Computing, Information Systems, Human-centered Computing, Computing Methodologies, Applied Computing, Social and Professional Topics, Natural Language Processing, LLMs. Papers reporting on developments, reviews, proposals, and project on Information Technology in South-East Europe in the following areas are also solicited: Governance (e.g. systems in place, policies, etc.), Education (curricula issues, secondary and higher education, etc.), Professional Issues (e.g. employment, Computer Societies, entrepreneurship, etc.), European ICT Priorities (e.g. enterprise, smart specialization, aging, etc.).

Software Engineering,    Information Theory, Foundations of Computer Science