Before revision:  Different from Boudt and Pertitjean(2014), our analyzing scheme can explore the "time-series information " embedded in the trading-related attributes and provides a set of jump indicators for abnormal pattern recognition .
After revision:  Different from Boudt and Pertitjean(2014), our analyzing scheme can explore the "time-series information " embedded in the trading-related attributes and can better evaluate and compare the abnormality levels of different attributes. Moreover, it can explore the joint informativeness of the attributes as well as select a subset of highly informative but minimally redundant attributes to analyze the homogeneous and idiosyncratic patterns in the pre-jump trades of individual stocks .