Discovering temporal patterns for interval-based events (2000) [19 citations — 1 self]
by Po-shan Kam, Ada Wai-chee Fu
In Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery
http://www.cs.cuhk.hk/~adafu/Pub/DaWak00.ps
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Abstract:
In many daily transactions, the time when an event takes place is known and stored in databases. Examples range from sales records, stock exchange, patient records, to scientific databases in geophysics and astronomy. Such databases incorporate the concept of time which describes when an event starts and ends
Citations
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