Predicting unusual energy consumption events from smart home sensor network by data stream mining with misclassified recall.
Simon FongJiaxue LiWei SongYifei TianRaymond K. WongNilanjan DeyPublished in: J. Ambient Intell. Humaniz. Comput. (2018)
Keyphrases
- energy consumption
- sensor networks
- data stream mining
- smart home
- data streams
- energy conservation
- human activities
- sensor data
- energy efficiency
- energy efficient
- streaming data
- wireless sensor networks
- energy saving
- sensor nodes
- activity recognition
- energy aware
- data collection
- base station
- context aware
- routing protocol
- ambient intelligence
- data center
- anomaly detection
- data dissemination
- data transmission
- data gathering
- communication cost
- resource constrained
- data mining
- routing algorithm
- wireless sensor
- intelligent systems
- cluster head
- network lifetime
- save energy
- energy efficient routing
- multi hop
- continuous queries
- data distribution
- intelligent agents
- data aggregation
- human computer interaction
- ubiquitous computing
- smart grid
- embedded systems
- power consumption
- action recognition
- mac protocol
- computational intelligence
- data sets