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

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1
Best Apache Storm Training 100% PRACTICAL - MindMajix, free DEMO
27. Mär 2019 - 31. Dez 2022 • New York, Vereinigte Staaten
Zusammenfassung:
About Apache Storm Training: Apache Storm is an open-source and distributed stream processing computation framework used for processing large volumes of high-velocity data.and its comparison with hadoop, Big Data world., etc.This Apache StormTraining from MindMajix will give you a working knowledge of the open-source Storm computational engine. You will be able to do distributed real-time data processing and come up with valuable insights.
Kontakt:
Mindmajix Technologies INC;     Tel.: [9174568403];     Email: info@mindmajix.com
Themen:
ApacheStromTraining, Apachestormonline, stormtechnology
Eintrags-ID:
1213774
2
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:
3
KDD 2019 — 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
04. Aug 2019 - 08. Aug 2019 • Anchorage, Alaska, Vereinigte Staaten
Veranstalter:
Association for Computing Machinery (ACM)
Zusammenfassung:
The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.
Eintrags-ID:
1191388
Verwandte Fachgebiete:
4
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:
5
ADT 2019 — 6th International Conference on Algorithmic Decision Theory
25. Okt 2019 - 27. Okt 2027 • Durham, NC, Vereinigte Staaten
Zusammenfassung:
The ADT 2019 conference focus is on algorithmic decision theory broadly defined, seeking to bring together researchers and practitioners coming from diverse areas of Computer Science, Economics and Operations Research in order to improve the theory and practice of modern decision support.
Themen:
Algorithms, Argumentation Theory, Artificial Intelligence, Computational Social Choice, Database Systems, Decision Analysis, Discrete Mathematics, Game Theory, Machine Learning, Matching, Multi-agent Systems, Multiple Criteria Decision Aiding, Networks, Optimization, Risk Management, and Utility Theory
Eintrags-ID:
1193937

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Stand vom 28. März 2019