Research Article
A Classifier Graph Based Recurring Concept Detection and Prediction Approach
Algorithm 1: Distribution-Based Detection Method | Input: S: data stream, m: size of block, , ; | Output: flagWarning; | begin | flagWarning = false; | for each instance in S do | numInstance++; | if numInstance % m == 0 then | for each check point Pi do | compute mean values and ; | compute and using Šidák correction; | compute and ; | if then | delete instances which are on the left side of Pi; | if then | return true; | break; | end if | if then | flagWarning = true; | end if | end if | end for | return flagWarning; | end. |
|