Pick one Topic…
Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects. Consider both supervised (supervised anomalies are regarded as a rare class and need to have training data) and unsupervised cases. (Include mostly your own original work from experiences and/or online research and cite any sources.)
Or
Explore Anomaly Detection Techniques – offer two different types techniques (what are they and what do they do)? (Include mostly your own original work from experiences and/or online research and cite any sources.)
Or
Offer at least 2 Strengths and 2 Weaknesses of Statistical Approaches? (Include mostly your own original work from experiences and/or online research and cite any sources.)
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