Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work presents an adaptive outlier detection technique for data streams, called Automatic Outlier Detection for Data Streams (A-ODDS), which identifies outliers with respect to all the received data points (global context) as ll as temporally close data points (local context) where local context are selected based on time and change of data distribution.
['Shiblee Sadik', 'Le Gruenwald']
I am writing a research paper on a idea An adaptive outlier detection technique for data streams
[{"from": "human", "value": "I am writing a research paper on a idea An adaptive outlier detection technique for data streams"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work presents an adaptive outlier detection technique for data streams, called Automatic Outlier Detection for Data Streams (A-ODDS), which identifies outliers with respect to all the received data points (global context) as ll as temporally close data points (local context) where local context are selected based on time and change of data distribution."}]