S. Alsaleh and B. Stantic (Australia)
Radio Frequency Identification - RFID, Data Mining
Radio Frequency Identification (RFID) technology gains momentum and every day we witness more and more ap plication domains. These systems however generate a huge volume of data and management of such vast volume of data is a challenge. It is even bigger challenge to extract patterns and relations, which represent a knowledge that is implicitly stored in such spatio-temporal data. This knowl edge cannot be obtained using a simple queries. While a significant work has been devoted toward general data min ing a limited work was directed toward mining of spatio temporal RFID data. In this work, we present method which efficiently cluster vast volume of RFID data by ap plying K-means method only to fraction of whole data cov ering all locations. In empirical study we show that our method is efficient and at the same time has a property of high accuracy.
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