A p-Persistent Frequent Itemsets with 1-RHS Based Correction Algorithm for Improving the Performance of WiFi-Based Occupant Detection Method.
Ping WangHuaqian CaoSi ChenJiake LiChang TuZhenya ZhangPublished in: ICSCIB (2018)
Keyphrases
- detection method
- frequent itemsets
- wifi
- itemsets
- smart home
- frequent itemset mining
- association rule mining
- mining frequent itemsets
- detection algorithm
- wireless networks
- association rules
- mining algorithm
- mobile devices
- data streams
- concise representation
- frequent itemsets mining
- discovery of association rules
- wireless communication
- end to end
- data structure
- itemset mining
- frequent patterns
- smart phones
- location information
- interesting rules
- uncertain data
- mining association rules
- condensed representations
- closed itemsets
- pruning strategy
- apriori algorithm
- context aware
- data sets
- pattern mining
- neural network
- frequent closed itemsets
- network architecture
- urban environments
- social networks
- frequent pattern mining
- mobile networks
- data mining
- real world
- smart card