Prediction Mining – An Approach to Mining Association Rules for Prediction

作者: Jitender Deogun , Liying Jiang

DOI: 10.1007/11548706_11

关键词:

摘要: An interesting application of association mining in the context temporal databases is that prediction. Prediction to use antecedent a rule predict consequent rule. But not all rules may be suitable for In this paper, we investigate properties prediction, and develop an approach called prediction — set are useful discovers have three properties. First, there must time lag between Second, minimum condition implies consequent. Third, relatively stable confidence with respect frame determined by domain. We algorithm discovering rules. The efficiency effectiveness our validated experiments on both synthetic real-life databases, show efficiently proper

参考文章(10)
Jitender Deogun, Liying Jiang, Vijay V. Raghavan, Discovering Maximal Potentially Useful Association Rules Based on Probability Logic Lecture Notes in Computer Science. pp. 274- 284 ,(2004) , 10.1007/978-3-540-25929-9_32
Juan M. Ale, Gustavo H. Rossi, An approach to discovering temporal association rules acm symposium on applied computing. pp. 294- 300 ,(2000) , 10.1145/335603.335770
Sherri K. Harms, Jitender Deogun, Steve Goddard, Building knowledge discovery into a geo-spatial decision support system acm symposium on applied computing. pp. 445- 449 ,(2003) , 10.1145/952532.952620
A.K.H. Tung, Hongjun Lu, Jiawei Han, Ling Feng, Efficient mining of intertransaction association rules IEEE Transactions on Knowledge and Data Engineering. ,vol. 15, pp. 43- 56 ,(2003) , 10.1109/TKDE.2003.1161581
Hongjun Lu, Ling Feng, Jiawei Han, Beyond intratransaction association analysis ACM Transactions on Information Systems. ,vol. 18, pp. 423- 454 ,(2000) , 10.1145/358108.358114
J. Knobloch, M.G. Pia, Trends in computing IEEE Transactions on Nuclear Science. ,vol. 51, pp. 2050- 2055 ,(2004) , 10.1109/TNS.2004.835566
U.M. Feyyad, Data mining and knowledge discovery: making sense out of data IEEE Intelligent Systems. ,vol. 11, pp. 20- 25 ,(1996) , 10.1109/64.539013
Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo, Discovery of Frequent Episodes in Event Sequences Data Mining and Knowledge Discovery. ,vol. 1, pp. 259- 289 ,(1997) , 10.1023/A:1009748302351
Jiawei Han, Ling Feng, Hongjun Lu, Stock movement prediction and N-dimensional inter-transaction association rules international conference on management of data. ,(1998)