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:
967497
2
Science at Extreme Scales: Where Big Data Meets Large-Scale Computing Tutorials
13. Sep 2018 - 18. Sep 2018 • Institute for Pure and Applied Mathematics (IPAM),, Vereinigte Staaten
Zusammenfassung:
The program opens with four days of tutorials that will provide an introduction to major themes of the entire program and the four workshops. The goal is to build a foundation for the participants of this program who have diverse scientific backgrounds. The themes will cover topics in computer science, big data analysis, machine learning, and numerical analysis.
Themen:
Part of the Long Program Science at Extreme Scales: Where Big Data Meets Large-Scale Computing
Eintrags-ID:
967473
3
Big Data Meets Large-Scale Computing
24. Sep 2018 - 28. Sep 2018 • Institute for Pure and Applied Mathematics (IPAM),, Vereinigte Staaten
Zusammenfassung:
Large data sets are increasingly being ingested (e.g., in data assimilation) and produced (e.g., in uncertainty quantification) by traditional simulations. Important questions that emerge are: What experience from traditional simulations is transferable to newly emerging big data applications? Conversely, what new optimal algorithms will emerge that are motivated by data intensive applications being pushed to large scales? How will they enrich traditional simulations? Examples of topics that will be discussed: 1)requirements and relations of high-performance analytics and simulation; (2) scalable hierarchical algorithms for analytics and simulation; (3)detecting and exploiting data sparsity within large-scale data sets; and (4)open problems, where no scalable methods yet exist. This workshop will bring together analysts and developers of computationally and data intensive applications interested in early exploitation of extreme scale computing platforms.
Eintrags-ID:
967423
4
Workshop II: HPC-driven Applications Go Big Data
15. Okt 2018 - 19. Okt 2018 • Institute for Pure and Applied Mathematics (IPAM),, Vereinigte Staaten
Zusammenfassung:
Classical HPC applications-usually based on numerically solving sets of ODEs or PDEs-develop towards a data-centric approach. This includes patient-specific simulations in medicine, integrated analytics of experimental and simulation data in plasma physics, learning from simulation data, and many more. We will discuss the question: What are the implications, needs, opportunities, and limitations in this context?
Eintrags-ID:
967433
5
KR — Principles of Knowledge Representation and Reasoning
30. Okt 2018 - 02. Nov 2018 • Tempe, Vereinigte Staaten
Eintrags-ID:
985774
6
PASS — PASS Summit 2018
07. Nov 2018 - 09. Nov 2018 • Seattle, Vereinigte Staaten
Zusammenfassung:
Geek-out with a community of people who love data. Organized by PASS (pass.org), PASS Summit is a global event providing three days of real-world technical learning by leading community and Microsoft experts. Developers, DBAs, Architects, BA/BI, IT Pros, DevOps and everything in between… if you work with data, you’ll fit right in. Come learn with us and connect with a network of data professionals just like you!
Kontakt:
Tel.: [604-899-6009];     Email: summit.help@pass.org
Themen:
Azure, SQL Server, DBA, Data Warehousing, Performance Tuning, Data Architecture, Data Security, Data Science, Analytics, BI, Power BI, Data Visualization, Machine Learning, R, AI, Cosmos DB
Eintrags-ID:
1013519
7
DSCT — DataSciCon.Tech
28. Nov 2018 - 30. Nov 2018 • ATLANTA, Vereinigte Staaten
Zusammenfassung:
Join us this November 28 - 30 in Atlanta as DataSciCon.Tech, a unique 3-day conference bringing together the brightest minds focused on Data Science, Data Analytics, Machine Learning and Big Data, Data Visualisation, and Deep Learning returns for v2.0
Kontakt:
Tel.: [4044830040];     Email: vincent@connectevents.io
Themen:
Data Science, Machine Learning, Artificial Intelligence, Big Data, Data Vizualization, Tensorflow
Eintrags-ID:
1102506
8
Big Data — IEEE International Conference on Big Data
10. Dez 2018 - 13. Dez 2018 • Washington, Vereinigte Staaten
Eintrags-ID:
1016883
9
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
10
SIGKDD 2019 — ACM SIGKDD International Conference on Knowledge discovery and data mining
03. Aug 2019 - 07. Aug 2019 • Anchorage, Alaska, Vereinigte Staaten
Eintrags-ID:
1117284
Verwandte Fachgebiete:
11
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:
1033039
Verwandte Fachgebiete:

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