On the approximation of curves by line segments using dynamic programming
Communications of the ACM
On computing correlated aggregates over continual data streams
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Sampling from a moving window over streaming data
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Processing complex aggregate queries over data streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
An Online Algorithm for Segmenting Time Series
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Backcasting: adaptive sampling for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Adaptive sampling for sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
AutoLag: Automatic Discovery of Lag Correlations in Stream Data
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Approximate Data Collection in Sensor Networks using Probabilistic Models
ICDE '06 Proceedings of the 22nd 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
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Approximate continuous querying over distributed streams
ACM Transactions on Database Systems (TODS)
Streaming Time Series Summarization Using User-Defined Amnesic Functions
IEEE Transactions on Knowledge and Data Engineering
Summarization for geographically distributed data streams
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
Mining temporal patterns in popularity of web items
Information Sciences: an International Journal
| Hi-index | 0.00 |
Data warehouses are increasingly supplied with data produced by a large number of distributed sensors in many applications: medicine, military, road traffic, weather forecast, utilities like electric power suppliers etc. Such data is widely distributed and produced continuously as data streams. The rate at which data is collected at each sensor node affects the communication resources, the bandwidth and/or the computational load at the central server. In this paper, we propose a generic tool for summarizing distributed data streams where the amount of data being collected from each sensor adapts to data characteristics. Experiments done on electric power consumption real data are reported and show the efficiency of the proposed approach.