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An architecture for context-aware adaptive data stream mining

An architecture for context-aware adaptive data stream mining

This video was recorded at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Warsaw 2007. In resource-constrained devices, adaptation of data stream processing to variations of data rates, availability of resources and environment changes is crucial for consistency and continuity of running applications. Context-aware adaptation, as a new dimension of research in data stream mining, enhances and optimizes distributed data stream processing tasks. Context-awareness is one of the key aspects of ubiquitous computing as applicationsC¸ successful operations rely on detecting changes and adjusting accordingly. This paper presents a general architecture for context-aware adaptive mining of data streams that aims to dynamically and... Show More

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