Konferenzen zum Thema Informations & Wissensmanagement, Big Data Computing in den Vereinigten Staaten (USA)

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1
Science at Extreme Scales: Where Big Data Meets Large-Scale Computing
12. Sep 2018 - 14. Dez 2018 • Institute for Pure and Applied Mathematics (IPAM),, Vereinigte Staaten
Zusammenfassung:
The breathtaking progress in both computer technologies and advanced methods to effectively and efficiently exploit them opens the door for a completely "new kind of science" at the beginning of the 21st century. This paradigm change has been brought about by two waves of innovations. The first wave primarily focused on High Performance Computing (HPC). Simulations and optimizations enable breakthroughs in the fundamental understanding or improvement of processes and systems in various domains of science and engineering. The second wave, which started later, aims at the comprehensive modeling of natural science, engineering, and societal phenomena in a data-driven way, with an even broader impact, also reaching the social sciences and humanities. Data sets from observations, experiments, simulations, imaging, digitization, or social networks as well as business or patient data are collected, processed, and analyzed.
Eintrags-ID:
967508
2
Big Data — IEEE International Conference on Big Data
10. Dez 2018 - 13. Dez 2018 • Washington, Vereinigte Staaten
Eintrags-ID:
1016927
3
Keystone Symposia: Digital Health - From Science to Application
21. Jan 2019 - 25. Jan 2019 • Keystone, Colorado, Vereinigte Staaten
Zusammenfassung:
This conference will be the first digital health meeting that focuses specifically on the scientific foundations and health applications of digital technologies. Taking a novel sensor or new device from concept to clinic is remarkably complex, and the technologies are evolving rapidly. Digital technology offers novel capabilities that have great potential to drive chronic disease understanding and management at both an individual and population level, including the ability to deliver real-time interventions that can be connected to a healthcare system, in a community setting or in limited-resource settings. The increased use of digital capture devices has become a universal part of everyday life; however, more research is needed to provide evidence that wearables and even more sophisticated implantable medical devices will transform healthcare delivery quality and costs.
Kontakt:
Attendee Services;     Tel.: [970.262.1230];     Email: info@keystonesymposia.org
Themen:
digital technologies, molecular and genomic data, healthcare data, big data, data and knowledge management
Eintrags-ID:
1136707
4
O’Reilly technology conference — Strata Data Conference
26. Mär 2019 - 28. Mär 2019 • San Francisco, California, Vereinigte Staaten
Zusammenfassung:
Strata Data Conference is where thousands of innovators, leaders, and practitioners gather to develop new skills, share best practices, and discover how tools and technologies are evolving to meet new challenges. Find out how big data, machine learning, and analytics are changing how we do business at Strata Data Conference.
Eintrags-ID:
1118598
5
Beyond Big Data: Building Data Tools — Symposium on Data Science & Statistics
29. Mai 2019 - 01. Jun 2019 • Bellevue, Washington, Vereinigte Staaten
Zusammenfassung:
The American Statistical Association and Interface Foundation of North America invite you to join us at the second annual Symposium on Data Science and Statistics in Bellevue, Washington, May 29 - June 1, 2019. The ASA’s newest conference, the Symposium on Data Science & Statistics, is designed for data scientists, computer scientists, and statisticians analyzing and visualizing complex data. SDSS provides a unique opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas.
Eintrags-ID:
1145588
Verwandte Fachgebiete:
6
SIGKDD 2019 — ACM SIGKDD International Conference on Knowledge discovery and data mining
03. Aug 2019 - 07. Aug 2019 • Anchorage, Alaska, Vereinigte Staaten
Eintrags-ID:
1117295
Verwandte Fachgebiete:
7
VLDB — 45th International Conference on Very Large Data Bases
26. Aug 2019 - 30. Aug 2019 • Los Angeles, Vereinigte Staaten
Zusammenfassung:
The annual VLDB conference is a premier annual international forum for database researchers, vendors, practitioners, application developers, and users. PVLDB, established in 2008, is a scholarly journal for short and timely research papers, with a journal-style review and quality assurance process. PVLDB is distinguished by a monthly submission process with rapid reviews. Its issues are published regularly throughout the year. Your paper will appear in PVLDB soon after acceptance, and possibly in advance of the VLDB conference. All papers accepted in time will be published in PVLDB Vol. 12 and also presented at the VLDB 2019 conference.
Kontakt:
Email: vldb2019info@gmail.com
Themen:
Access Methods, Concurrency Control, Recovery, Transactions, Indexing and Search, In-memory Data Management, Hardware Accelerators, Query Processing and Optimization, Storage Management, Privacy and Security in Data Management, Graph Data Management, Social Networks, Recommendation Systems, Data Mining and Analytics, Warehousing, Crowdsourcing, Embedded and Mobile Databases, Real-time Databases, Sensors and IoT, Stream Databases, Data Models and Query Languages, Schema Management and Design, Database Usability, User Interfaces and Visualization, Tuning, Benchmarking, Performance Measurement, Database Administration and Manageability, Distributed Database Systems, Cloud Data Management, NoSQL, Scalable Analytics, Distributed Transactions, Consistency, P2P and Networked Data Management, Database-as-a-Service, Content Delivery Networks, Provenance and Workflows, Spatial, Temporal, and Multimedia Databases, Scientific and Medical Data Management, Profile-based or Context-Aware Data Management, Data Cleaning, Information Filtering and Dissemination, Information Integration, Metadata Management, Data Discovery, Web Data Management, Semantic Web, Heterogeneous and Federated Database Systems, Fuzzy, Probabilistic and Approximate Databases, Information Retrieval, Text in Databases
Eintrags-ID:
1033017
Verwandte Fachgebiete:

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Stand vom 14. November 2018