International Association of Scientific Innovation and Research (IASIR)
When the raw data is collected from different users and the sources and managed in a centralized warehouse. Then major problem is to identify the most co-related attributes and information from different sources and maintain them at single source. The work also includes to discard the missing value records and to identify the irrelevant attributes from the different data sources. The presented paper is the study of different dataset filtration approaches such as association mining, a priori algorithm, etc. The work is here defined for the RFID data. The work also includes the study of different mining operations on large RFID dataset to perform the cleaning and classification.