Parallel-and-Stream Accelerator for Computationally Fast Supervised Learning (submitted)

Two dominant distributed computing strategies have emerged to overcome the computational bottleneck of supervised learning with big data: parallel data processing in the MapReduce paradigm and serial data processing in the online streaming paradigm. …


Detection and prediction of ovulation by incorporating biorhythm information in processing high frequency basal body temperature measurements via hidden Markov model (HMM).


A hybrid paradigm that integrates online streaming processing into each parallelized data process in a MapReduce framework.