Phase 1:Formation of Phase 2:Input Processing Phase 3:Final Classification Inputs to DCA by DC Population Weights for Time Windows calculating CSM and K Threshold based Signal Signal calculation Segmentation by Mapping Processing ·Fuzzy set Theory ABS or TBS calculation Techniques used: ·No.of DCs Raw ·Simple stats ·Migration Population DC Metric PCA Threshold Domain n-gram analysis Distribution Analysis outputs Calculation Data Information Theory Expert Knowledge ·Reassign same migration threshold ·MCAV ·MAC ·Assign new Antigen Antigen threshold randomly ·K Alpha Mapping Sampling Randomly drawn from a pool of Antigen Multiplier antigen Allocated in Round Robin fashionPhase 1: Formation of Inputs to DCA Phase 2: Input Processing by DC Population Phase 3: Final Classification • MCAV • MAC • K Alpha • Threshold based calculation • Fuzzy set Theory calculation • Randomly drawn from a pool of antigen • Allocated in Round Robin fashion • No. of DCs • Migration Threshold Distribution Techniques used: • Simple stats • PCA • n-gram analysis • Information Theory • Expert Knowledge Time Windows Antigen Multiplier Segmentation by ABS or TBS Weights for calculating CSM and K • Reassign same migration threshold • Assign new threshold randomly Signal Processing Signal Mapping Population Analysis Antigen Mapping Raw Domain Data Antigen Sampling DC outputs Metric Calculation