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

Executive Insights GmbH & Co. KG

Email: service@executive-insights.com

Data Governance, Datanstrategie, Data Strategy, Data Culture, Data Mesh, Data Excellence, Data Quality, Data Engineering, datengetriebene Organisation, Data Analytics, Business Intelligence, Big Data, Metadatenmanagement, Self Service Reporting,

UNICOM Seminars

In any enterprise or marketplace, Knowledge Management is vital for sharing and embedding best practices, competitive intelligence, discovering and sharing business decisions – the key for success. At present enterprise market and competitive intelligence research portals are highly specialized knowledge management applications. But these require particular content management, search, distribution, and artificial intelligence (AI)-based machine learning capabilities. So now we find that modern technologies have made KM indispensable in developing strategic and systematic process in market and competitive intelligence and improving internal processes and communications supported by effective tools and technologies. This conference is the perfect platform to find out what is happening in the KM marketplace – find out what will drive your business.

Email: kumar@unicom.uk

Knowledge Sharing, Knowledge dissemination, Knowledge networks, Knowledge creation, Knowledge retention, Knowledge Management

Lyon 1 University (France), Univ. Pau & Pays Adour (France), Technical University of Crete (Greece)

The International Conference on Management of Digital EcoSystems (MEDES) aims to develop and bring together a diverse community from academia, research laboratories, and industry interested in exploring the manifold challenges and issues related to web technologies and resource management of Digital Ecosystems and how current approaches and technologies can be evolved and adapted to this end. The conference seeks related original research papers, industrial papers, and proposals for demonstrations, tutorials, and workshops.

Email: contact.formore@proton.me

Digital Ecosystem Infrastructure, Data & Knowledge Management, Computational and Collective Intelligence, Semantic Computing, Software ecosystems for software engineering, Big Data, Services, Trust, Security & Privacy, Software Engineering, Internet of Things and Intelligent Web, Cyber Physical Systems, Social and Collaborative Platforms, Human-Computer Interaction, Open Source, Applications (Logistics, Energy, Healthcare, Environment, Smart Cities, Digital Humanities, Robotics, etc.), Complex Systems and Networks.

Software Engineering,    Scientific Computing and Data Science

Open University of Cyprus; University of Pau and the Adour Region; SIGAPPFR.org; Concordia University, Montreal, Canada; with the cooperation of ACM, BytePress and ConfSys.

The annual IDEAS conference is a top international forum for data engineering researchers, practitioners, developers, and application users to explore revolutionary ideas and results, and to exchange techniques, tools, and experiences. We invite participation of all interested in this event, which provides an insight into original research contributions relating to all aspects of database engineering defined broadly, and particularly topics of emerging interest describing work on integrating new technologies into products and applications, on experiences with existing and novel techniques, and on the identification of unsolved challenges. In particular, IDEAS-2023 will be collocated with MEDES-2023 conference, aiming at further cross-fertilization.

Email: contact.formore@proton.me

Big Data Applications and Scalable Analytics, Biomedical and Health Informatics, Business Intelligence and Analytics, Data Analytics in Government, Public Sector and Society, Data Integration, Record Linkage and Data Fusion, Data Management in Grid and Cloud Systems, Data Mining and Knowledge Discovery Systems and Applications, Data Warehousing and OLAP, Data Sharing and Privacy, Data Quality, Cleaning and Provenance, Digital Libraries, Electronic Commerce and Web Technologies, Information Extraction and Unstructured Data, Link and Graph Mining, Mobile and Web Data, Open and Linked Data, Privacy, Security and Trust in Social Media, Semantic Web and Ontologies, Sensory Data and Internet of Things, Smart Cities and Urban Data Analytics, Social Media and Social networks, Social Data Analytics, Statistical and Scientific Data, Stream, Spatial and Temporal and Dimensional Data, Trust, Privacy and Security in Digital Business and Society, Web and Cyber Security,

Database Technology and Design, Search Engines and Data Mining,    Scientific Computing and Data Science

Leibniz Institute for Psychology (ZPID)

We are happy to announce that the 4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science will be organized by the Leibniz Institute for Psychology (ZPID). The conference will take place from 8-10 of May 2023 at the DIPF | Leibniz Institute for Research and Information in Education in Frankfurt/Main.

Social Networks and Social Aspects of Information Technology,    Psychology

Princeton University

International Conference on Statistical Foundations of Data Science and their Applications will be held at Princeton University in May 8-10, 2023. The conference will bring together collaborators and leading researchers in statistics and data science. The conference will provide an excellent forum for scientific communications and promote collaborations among researchers in statistics and data science. The program covers a wide range of topics presenting recent developments and the state of the art in a variety of modern research topics on statistics and data science as well as their applications.

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

Max Planck Institute for the Physics of Complex Systems

Complex Systems, Chaos and Self-Organisation,    Scientific Computing and Data Science

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

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

ACMSC

2023 5th International Conference on Information Technology and Computer Communications (ITCC 2023) will be held during June 15-17, 2023 in Tianjin, China.

ITCC 2023 is supported by Tianjin University of Technology and Education and ACM Singapore Chapter and some other universities and Societies.

Email: amychou2020@163.com

Information Technology; Information Theory; Automata Theory; Artificial & Computational Intelligence; Control Theory; Communication Technologies; Digital communication technologies; Satellite communication technologies; Wireless network communication technologies;

Narasu’s Sarathy Institute of Technology

The rapid proliferation of communication technologies and software engineering practices have witnessed the fast-growing research interests in information and communication technologies and social networking, which tends to play an integral part in our daily lives. The 3rd International Conference on Pervasive Computing and Social Networking [ICPCSN 2023] promotes the development of pervasive communication systems and pursuing Social Networking applications for communication platforms, networks and devices. ICPCSN 2023 aims to collaborate and promote state-of-the-art research works on the conceptual, constructive, empirical, theoretical and practical implementations of pervasive Computing and Social Networking methods for developing more novel ideas and innovations in the emerging Information and Communication Technologies [ICT].

Principal;     Phone: [7339177458];     Email: icpcsi.conf@gmail.com

Pervasive Computing:- 1. Ubiquitous Networking and Sensing Models, 2. Smart Interface Design Models, 3. Data Mining Techniques, 4. Smart Crowdsourcing and Intelligent Models, 5. Human-Computer Interaction Models, 6. Social Intelligence and Computing Models, 7. Adaptive Computing in Robotics Systems, 8. Artificial Intelligence and Machine Learning Models, 9. Machine-to-Machine Communication, 10. Intelligent User Interface Models, 11. Brain-Machine Interaction, 12. Pervasive Wearable Communication Models, 13. Deep Learning and Deep Computation, 14. Smart Grid Computing and Cloud Computing, 15. Smart Systems [Smart Home; Gaming; Healthcare; Cities and Transportation; Etc.], 16. Smart Space Systems and Techniques, 17. Autonomic Computing Social Networking:- 1. Opportunistic Networks Models and Applications, 2. Internet of Things and its Architectures, 3. Wireless Sensor Networks, 4. RFID Systems; Design and Implementations, 5. Big Data and Cyber-Physical Systems, 6. Heterogeneous Multilevel Networks, 7. Peer to Peer Social Networking Models, 8. Web-based Semantic Models and Commodities, 9. Challenges and Opportunities in Social Networking, 10. Edge and Fog Computing in Social Networks, 11. Context-aware Mobile Social Networks, 12. Smart Authentication and Authorization Models, 13. Cyber Security and Cyber-Physical Systems, 14. Security Issues and Technical Challenges in Social Information Networks, 15. Cloud Security Models in Social Networks, 16. Block Chain Models in Social Information Networks

Engineering (general),    Networks, Internet

The conference will be hosted by the University of Neuchâtel.

The ACM International Conference on Distributed and Event‐Based Systems (DEBS) is a premier venue for academia and industry to discuss cutting-edge research of event-based computing related to Big Data, AI/ML, IoT, and Distributed Systems in general. DEBS 2023 will be a forum dedicated to the dissemination of original research, the discussion of practical insights, and the reporting of experiences relevant to distributed and event‐based systems.

The DEBS conference covers topics in distributed and event-based computing for a wide range of application domains and computing environments. The conference aims at presenting novel solutions for collecting, detecting, processing, analyzing and responding to events through distributed middleware and platforms.

Distributed, Edge and Cloud Computing,    Software Engineering

The International Conference on Mass Data Analysis of Images and Signals in Artificial Intelligence and Pattern Recognition MDA 2023 with Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry, Agriculture, Drug Discovery, and System Biology is held on yearly basis.

Applications in Medicine, r/g/b Biotechnology, Food Industries and Dietetics, Biometry and Security, Agriculture, Drug Discover, and System Biology

Mathematical Sciences Research Institute (MSRI)

This summer school will introduce graduate students to sketching-based approaches to computational linear and multi-linear algebra. Sketching here refers to a set of techniques for compressing a matrix, to one with fewer rows, or columns, or entries, usually via various kinds of random linear maps. We will discuss matrix computations, tensor algebras, and such sketching techniques, together with their applications and analysis.

Courses and Events for Math Students and Early Career Researchers,    Scientific Computing and Data Science

2023 5th International Conference on Big Data Engineering and Technology will be held in Singapore during July 15-17, 2023. BDET is mainly sponsored by Sensors and Systems Society of Singapore (SSS), and joinly supported by some universities, organizations and scientific communities.

Email: helen@academic.net

Big Data novel theory, algorithm and applications; Big Data standards; Big Data Infrastructure, MapReduce and Cloud Computing; Big Data visualization; Big Data performance analysis and large-scale deployment; Security, privacy, trust, and legal issues to big data; Big Data vs Big Business and Big Industry; Large data stream processing on cloud;

CZES-nd

2023 The 3rd International Conference on Computer Vision and Information Engineering (CVIE 2023) will be held in Guiyang, China during July 20-22, 2023.

Email: Nazal@sina.com

Active and robot vision; Invariance in pattern recognition; Biometric authentication; Knowledge-based recognition; Camera networks and vision; Statistical pattern recognition; Face and gesture recognition; Algorithms and bioinformatics; Geographical information systems; Artificial intelligence; Global navigation satellite systems; Automated software engineering; Grid and scalable computing;

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

We have lately witnessed one-after-another ground-breaking developments in the AI world. Data science is the essence of this world and perhaps the fastest expanding domain. At the same time, data science is born from the interaction of multiple research areas including statistics and machine learning. The fundamental statistical principles formed a pillar of data science in the beginning and remain pivotal for its healthy growth. The powerful algorithms developed in computer science keep data science practically relevant and central in Big Data analytics. Promoting the interactions between these two areas will undoubtedly further advance the development of data science. Latent structure models are powerful products of statistical principles and offer a simple yet effective platform to capture the complexity and heterogeneity in big data. Their usage goes beyond any single discipline, and naturally integrates the advantages of various areas such as statistics, economics and machine learning. This workshop brings together researchers with expertise in latent structure learning and provides a platform to share their achievements, exchange research ideas, and build new collaborations. We wish to promote the use of latent model techniques and simulate further development of highly interpretable, reproducible, and powerful AI methods. The workshop covers a broad range of topics in the latent structure model: theory, algorithms, and applications. We will also set eyes on future research trends and interdisciplinary directions.

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.

University College Cork & TC309 Machine Learning and Big Data

The theme of the symposium is Data-centric solutions for reshaping the next generation geo-industries and the symposium is hosted by ISSMGE Technical Committee of Machine Learning & Big Data (TC309).

Development of benchmark datasets for geoscience and geo-industries - Development and application of innovative geotechnical monitoring technologies to subsurface engineering and geoscience - Gathering and processing of big data and metadata in geoscience and geoengineering - Big geodata mining, generation of big geodata by computational methods and etc. - Development and optimisation of machine learning algorithm for geoscience and geotechnics - Applying artificial intelligence to site investigation and geo-materials behaviour - Application of machine learning and data analytics for design, construction, maintenance of geotechnical assets during the whole-life cycle - Role of visual data analytics, virtual reality and data-centric technology in geosciences and beyond

Geophysics and Geology,    Neural Networks and Artificial Intelligence, Machine Learning

Association for Computing Machinery (ACM)

Co-sponsored by Qingdao Computer Society, and Ocean University of China; technically supported by Qingdao University, University of Jinan, Shandong University, Shandong University of Science and Technology, China, Shandong University of Technology, and other universities.

2023 6th International Conference on Big Data Technologies has the goal to be an annual conference for researchers, academicians and industry persons in the field of big data technologies. It will be held in Qingdao, China during September 22-24, 2023.

Email: saraxc17@163.com

Data Visualization and Visual Analytics, Big Data Algorithms, Applications and Services, Big Data Processing and Querying, Algorithmic, experimental, prototyping and implementation, Natural Language Processing in Big Texts, Biomedical imaging pre-processing and Analysis,

ACMSC

Email: amychou2020@163.com

Big Data Foundations; Foundational theoretical or computational models for big data; Big Data Platforms and Technologies; Innovative, concurrent, and scalable big data platforms; Big Data Analytics and Services; Algorithms and systems for big data search, analytics and visualization; Big Data Applications and Experiences; Intelligent Computing Methodologies and Applications; Evolutionary Computing and Learning; Genetic Algorithms ;

The International Science Council’s Committee on Data (CODATA) and World Data System (WDS), and the Research Data Alliance (RDA)

International Data Week brings together a global community of data scientists and data stewards; researchers from all domains; data, interoperability and informatics experts from all fields; industry leaders, entrepreneurs and policymakers.

ICCBD 2023 is organized by University of Shanghai for Science and Technology, China and co-organized by Southern University of Science and Technology, China, Shanghai Jiao Tong University, China. And technical supported by IEEE Computer Society and Special Technical Communities on Big Data.

2023 6th International Conference on Computing and Big Data (ICCBD 2023) will be held in University of Shanghai for Science and Technology, China during October 27-29, 2023.

Email: geoff@iedrc.net

Identification of customer behavior; DER management and demand response; Transaction of power consumption right; Big Data Analytics; Novel Theoretical and Computational Models; Framework for Data Understanding and Quality; Big Data Science and Engineering: Big Data in Smart Planet Solutions; 5G network and communication; loud computing and edge computing; Internet of Things (IoT) integrated power systems; QoS Management in IoT Networks; Sensor Networks Protocols; IoT in 5G Networks;

ACMSC

Email: amychou2020@163.com

Big Data Science and Foundations; Big Data Infrastructure; Big Data Management; Big Data Search and Mining; Big Data Security, Privacy and Trust; Big Data Applications;

CIRM – Centre International de Rencontres Mathématiques

Scientific Computing and Data Science,    Social Networks and Social Aspects of Information Technology

The event is sponsored by City University of Macau.

2024 the 2nd International Conference on Big Data will be held in Macau, China during January 10-12， 2024. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up-to-date scientific field.

Email: saraxc17@163.com

Big Data Architecture and Systems; Deep Learning architecture, representations, unsupervised and supervised algorithms; Algorithmic, experimental, prototyping and implementation; Data Security and Management; Blockchain; Privacy and Security for Cloud and Big Data; Big Data Analysis and Computing; Big Data Mining and Analytics; Big Data Processing and Querying;

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

Analysis,    Calculus, Differential Equations and Integration

ICMS - International Centre for Mathematical Sciences

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.

Scientific Computing and Data Science,    Applied Mathematics (in general)

The International Centre for Mathematical Sciences (ICMS)

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.