Data Mining in Temporal Databases
نویسندگان
چکیده
In this paper we describe our approach to data mining in temporal databases by introducing Easy Miner, a data mining system developed at UMIST. This system implements a wide spectrum of data mining functions, including generalisation, relevance analysis, classification and discovery of association rules. By integrating these interesting data mining techniques, the system provides a user friendly and interactive environment with good performance and of course, wide choice of functionalities. These algorithms have been tested on time-oriented medical data and experimental results show that the algorithms are efficient and effective for discovery of previously unknown knowledge in databases.
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