SELECTING PERFECT INTERESTINGNESS MEASURES BY COEFFICIENT OF VARIATION BASED RANKING ALGORITHM
作者： Selvarangam
DOI: 10.3844/JCSSP.2014.1672.1679
关键词:
摘要: Ranking interestingness measure is an active and es sential research domain in the process of knowledge discovery from extracted rules. Since various m easures proposed by many researchers situations increases list measures these are not able to use as a common evalua te rules, finders identify perfect ensure actual on database. In this study, we presented about ranki ng method measure, which also reduces number measures. will be done increasing order Coefficient Variation ( CV) applicable eliminated. Also introduced heuristic association measures, U cost, S R T combined cost ranked with exist ing using CV based ranking algorithm, our placed better position ranking, compared existing
thescipub.com参考文章(18)
Hiep Xuan Huynh, Interestingness measures for association rules in a KDD process : postprocessing of rules with ARQAT tool Université de Nantes. ,(2006)
Mina, Measures of Explained Variation and the Base-Rate Problem for Logistic Regression Current Research in Biostatistics. ,vol. 2, pp. 11- 19 ,(2011) , 10.3844/AMJBSP.2011.11.19
Paulo J. Azevedo, Alípio M. Jorge, Comparing Rule Measures for Predictive Association Rules european conference on machine learning. pp. 510- 517 ,(2007) , 10.1007/978-3-540-74958-5_47
Stephane Lallich, Olivier Teytaud, Elie Prudhomme, Association Rule Interestingness: Measure and Statistical Validation Quality Measures in Data Mining. pp. 251- 275 ,(2007) , 10.1007/978-3-540-44918-8_11
M. Anandhavalli, K. Gauthaman, M. K. Ghose, Interestingness Measure for Mining Spatial Gene Expression Data using Association Rule arXiv: Databases. ,(2010)
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava, Selecting the right objective measure for association analysis Information Systems. ,vol. 29, pp. 293- 313 ,(2004) , 10.1016/S0306-4379(03)00072-3
Jeyachidra, DISTINGUISHABILITY BASED WEIGHTED FEATURE SELECTION USING COLUMN WISE K NEIGHBORHOOD FOR THE CLASSIFICATION OF GENE MICROARRAY DATASET American Journal of Applied Sciences. ,vol. 11, pp. 1- 7 ,(2014) , 10.3844/AJASSP.2014.1.7
Segal, THE "NEW SETTLERS": RESULTS OF A BACTERIOLOGICAL SURVEY DURING THE FIRST 6-MONTHS OPERATION PERIOD OF AN INTERNAL MEDICINE WARD IN A TERTIARY HOSPITAL American Journal of Infectious Diseases. ,vol. 9, pp. 136- 141 ,(2013) , 10.3844/AJIDSP.2013.136.141
Mojdeh Jalali-Heravi, Osmar R. Zaïane, A study on interestingness measures for associative classifiers acm symposium on applied computing. pp. 1039- 1046 ,(2010) , 10.1145/1774088.1774306
Izwan Nizal Mohd. Shaharanee, Fedja Hadzic, Tharam S. Dillon, Interestingness measures for association rules based on statistical validity Knowledge Based Systems. ,vol. 24, pp. 386- 392 ,(2011) , 10.1016/J.KNOSYS.2010.11.005