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Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology / Liyanage C De Silva, Tang Loon Ching, editors.
- Format:
- Book
- Series:
- ACM Other conferences
- Language:
- English
- Subjects (All):
- Big data.
- Physical Description:
- 1 online resource (126 pages).
- Other Title:
- BDET 2020
- Place of Publication:
- New York, NY : Association for Computing Machinery, 2020.
- Summary:
- Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, scientific applications, surveillance, video and image archives, Internet texts and documents, Internet search indexing, medical records, business transactions and web logs; and are of large size (Volume) with fast data in/out (Velocity). 2020 2nd International Conference on Big Data Engineering and Technology is one of the premier events to network and learn from colleagues and other leading international scientific voices from across the world, who is actively engaged in advancing research and raising awareness of the many challenges in the diverse field of Big Data Engineering and Technology.
- Notes:
- Description based on publisher supplied metadata and other sources.
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