A dynamic OSGi-based data stream system
Proceedings of the 5th Middleware doctoral symposium
Debellor: A Data Mining Platform with Stream Architecture
Transactions on Rough Sets IX
Novelty detection with application to data streams
Intelligent Data Analysis - Knowledge Discovery from Data Streams
Reveal the Collaboration in a Open Learning Environment
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
A frequent pattern based framework for event detection in sensor network stream data
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data
Tracking Recurring Concepts with Meta-learners
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
Data stream anomaly detection through principal subspace tracking
Proceedings of the 2010 ACM Symposium on Applied Computing
Programming storage-centric sensor networks with Squirrel
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
CALDS: context-aware learning from data streams
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques
Expert Systems with Applications: An International Journal
Content-free collaborative learning modeling using data mining
User Modeling and User-Adapted Interaction
Resource aware distributed knowledge discovery
Ubiquitous knowledge discovery
Resource aware distributed knowledge discovery
Ubiquitous knowledge discovery
On detection of changes in sensor data streams
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
Survey: Streaming techniques and data aggregation in networks of tiny artefacts
Computer Science Review
Competitive analysis of maintaining frequent items of a stream
SWAT'12 Proceedings of the 13th Scandinavian conference on Algorithm Theory
Data stream clustering: A survey
ACM Computing Surveys (CSUR)
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Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few years due to the huge numbers of data streams to be managed continuously and at a very high rate. The book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. The set of chapters covers the state-of-art in data stream mining approaches using clustering, predictive learning, and tensor analysis techniques, and applying them to applications in security, the natural sciences, and education. This research monograph delivers to researchers and graduate students the state of the art in data stream processing in sensor networks. The huge bibliography offers an excellent starting point for further reading and future research.