Frequent Bit Pattern Mining Over Tri-axial Accelerometer Data Streams for Recognizing Human Activities and Detecting Fall.
C. Sweetlin HemalathaVijay VaidehiPublished in: ANT/SEIT (2013)
Keyphrases
- pattern mining
- human activities
- data streams
- activity recognition
- itemsets
- frequent patterns
- sensor data
- discovering frequent
- mining frequent
- pattern growth
- human activity recognition
- frequent pattern mining
- closed patterns
- mining algorithm
- daily activities
- sliding window
- fp tree
- action primitives
- frequent itemsets
- mining frequent itemsets
- pattern discovery
- frequent itemset mining
- minimum support
- frequent subgraphs
- human computer interaction
- sequential patterns
- sensor networks
- data mining
- maximal frequent itemsets
- interesting patterns
- action recognition
- graph mining
- human actions
- data sets
- maximal frequent
- sequential pattern mining
- streaming data
- domain driven
- graph patterns
- data mining techniques
- data structure
- frequent item sets
- association rule mining
- itemset mining
- temporal structure
- graph data
- tree mining
- association rules
- ambient assisted living
- semi supervised
- periodic patterns
- graph databases