With the increasing availability of chemical datasets such as PubChem , ChEMBL , and DrugBank etc., the identifying and selecting preferable subset of relevant features holding the majority of information play a critical role in cheminformatics research. Classical ACM has been widely used in many fields to reveal significant relationships between attributes and labeled class or features and activity; some typical examples are E-commerce , health care , security , finance , bioinformatics and cheminformatics etc. Classical ACM utilizes a series of high-quality class association rules (CARs) mined from the training dataset upon the predefined minimum support and confidence constraints to build highly accurate classifier.