Introduction |
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). More importantly, big data has
to be of high value (Value) and establish trust in it for business decision making
(Veracity). Various technologies are being discussed to support the handling of big
data such as massively parallel processing databases, scalable storage systems,
cloud/stream computing platforms, and high performance/parallel computing platforms.
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Topics |
Topics of interest include, but are not limited to: |
Activities |
For any question, please do not hesitate to contact us via email or QQ Group:
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Organizations:
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Any questions please contact ieee-ai-congress-2025@googlegroups.com.