Medical Data Mining for Discovering Periodically Frequent Diseases from Transactional Databases

Author:

Khaleel Mohammed Abdul,Dash G. N.,Choudhury K. S.,Khan Mohiuddin Ali

Publisher

Springer India

Reference17 articles.

1. Tanbeer, S.K., Ahmed, C.F., Jeong, B.-S., Lee, Y.-K.: Discovering periodic-frequent patterns in transactional databases. In: PAKDD ’09: Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, pp. 242–253 (2009)

2. Surana, A., Kiran, R.U., Reddy, P.K.: An efficient approach to mine periodic-frequent patterns in transactional databases. In: Center for Data Engineering, International Institute of Information Technology, pp. 1–12

3. Chen, C.H., Hong, T.P., Vincent, S.M.: Tseng: a less domain-dependent fuzzy mining algorithm for frequent trends. In: IEEE, pp. 1–6. 16–21 July 2006

4. Jin, H., Chen, J., He, H., Williams, G.J., Kelman, C., O’Keefe, C.M.: Mining unexpected temporal associations: applications in detecting adverse drug reactions. IEEE 12(4), 1–13 (2008)

5. Huang, J., Huan, J., Tropsha, A.: Semantics-driven frequent data pattern mining on electronic health records for effective adverse drug event monitoring. In: IEEE, pp. 1–4 (2013)

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