Mining Sequences in Distributed Sensors Data for Energy Production
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Summary
The methodology presented, Uniform Sequence Discovery, implements the idea of uniform population coding, stream mining, and cross-stream mining on power generation data and has the intent of modeling power generation.
- Type
- dissertation
- Published
- 2007-01-01
- Cited by
- 1
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W41967594
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16179903
Keywords
SCADA, Agency (philosophy), Engineering, Legislature, Control (management)
References
- Systems and techniques for distributed and stream data mining
- Mining biomedical time series by combining structural analysis and temporal abstractions
- Time Series Abstraction Methods - A Survey
- Finding Motifs in Time Series
- Wavelet analysis of chaotic time series
- Discovery of Conserved Sequence Patterns Using a Stochastic Dictionary Model
- Neural, Novel & Hybrid Algorithms for Time Series Prediction
- Finding surprising patterns in a time series database in linear time and space
- Building a dictionary for genomes: identification of presumptive regulatory sites by statistical analysis.
- Probabilistic discovery of time series motifs
- Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing
- A Practical Guide to Wavelet Analysis.
- Fast and approximate stream mining of quantiles and frequencies using graphics processors
- Identifying objects using cluster and concept analysis
- Computing Clusters of Correlation Connected objects
- Clustering data streams
- Research issues in data stream association rule mining
- Online data mining for co-evolving time sequences
- RULE EXTRACTION FROM TIME SERIES DATABASES USING CLASSIFICATION TREES 1
- Data Mining: Concepts, Models, Methods, and Algorithms
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