Research Article
A Unified Framework for Behaviour Monitoring and Abnormality Detection for Smart Home
Algorithm 2
Algorithm for local outlier factor.
Input: Database D | |
Output: (normalized) anomaly score for all and one d D | |
Phase 1: Model Construction | |
for all d D do | |
select condition (d) | |
Model(d)build model(d, condition(d)) | |
end for | |
Phase 2: Model Comparison | |
for all do | |
choose reference (d) | |
Score(d) compare (model(d), model(n) | |
end for | |
Phase 3:Normalization | |
if Normalization needed then | |
for all d D do | |
Normalized Score(X)normalize (score(d)) | |
end for | |
end if |