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What is Smart Meters and Big Data Analytics about?
This thesis proposes a model for progressive incremental data mining of smart meter data to analyze customer behavior. The model applies frequent pattern mining and cluster analysis techniques incrementally to extract useful information from increasing amounts of smart meter data over time. Specifically, it uses an FP-growth approach to mine frequent itemsets and association rules to discover relationships between appliance usages. It also uses an incremental k-means clustering method to group appliance usa
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- EN