Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Approximate frequency counts over data streams
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
A new in-network data reduction mechanism to gather data for mining wireless sensor networks
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
Using association rules for energy conservation in wireless sensor networks
Proceedings of the 2008 ACM symposium on Applied computing
Efficient mining of association rules from wireless sensor networks
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
Mining disjunctive sequential patterns from news stream
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Discovery of frequent distributed event patterns in sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Mining recent approximate frequent items in wireless sensor networks
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Distributed pattern discovery in multiple streams
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
A decentralized approach for mining event correlations in distributed system monitoring
Journal of Parallel and Distributed Computing
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Mining associated sensor patterns for data stream of wireless sensor networks
Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Distributed Online Algorithms for the Agent Migration Problem in WSNs
Mobile Networks and Applications
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We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and propose the interval-list representation. Based on Lossy Counting, we propose ILB, an interval-list-based online mining algorithm for discovering frequent sensor value sets. Through extensive experiments, we compare the performance of ILB against an application of Lossy Counting (LC) using a weighted transformation method. Results show that ILB outperforms LC significantly for large sensor networks.