{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T18:47:32Z","timestamp":1648838852597},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Inf. Acquisition"],"published-print":{"date-parts":[[2011,6]]},"abstract":"<jats:p> Data mining methods are used to mine voluminous data to find useful information from data. The data that is to be mined may have a large number of dimensions, so the mining process will take a lot of time. In general, the computation time is an exponential function of the number of dimensions. It is in this context that we use dimensionality reduction techniques to speed up the decision-making process. Dimensionality reduction techniques can be categorized as Feature Selection and Feature Extraction Techniques. In this paper we compare the two categories of dimensionality reduction techniques. Feature selection has been implemented using the Information Gain and Goodman\u2013Kruskal measure. Principal Component Analysis has been used for Feature Extraction. In order to compare the accuracy of the methods, we have also implemented a classifier using back-propagation neural network. In general, it is found that feature extraction methods are more accurate than feature selection methods in the framework of credit risk analysis. <\/jats:p>","DOI":"10.1142\/s0219878911002410","type":"journal-article","created":{"date-parts":[[2011,12,20]],"date-time":"2011-12-20T10:07:35Z","timestamp":1324375655000},"page":"161-169","source":"Crossref","is-referenced-by-count":0,"title":["COMPARISON OF DIMENSIONALITY REDUCTION TECHNIQUES USING A BACKPROPAGATION NEURAL NETWORK BASED CLASSIFIER"],"prefix":"10.1142","volume":"08","author":[{"given":"E.","family":"SIVASANKAR","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu, India"}]},{"given":"H.","family":"SRIDHAR","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu, India"}]},{"given":"V.","family":"BALAKRISHNAN","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu, India"}]},{"given":"K.","family":"ASHWIN","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu, India"}]},{"given":"R. S.","family":"RAJESH","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India"}]}],"member":"219","published-online":{"date-parts":[[2012,4,6]]},"reference":[{"key":"rf1","first-page":"442","author":"Chakraborty S.","journal-title":"International Journal of Electronic Finance"},{"key":"rf2","first-page":"896","author":"Lee M. C.","journal-title":"Expert Systems with Applications"},{"key":"rf3","first-page":"271","author":"Lee B.","journal-title":"International Journal of InformationTechnology and Knowledge Management"},{"key":"rf4","first-page":"1491","author":"Lin S.-W.","journal-title":"Expert Systems withApplications"},{"key":"rf5","first-page":"603","author":"Min J. H.","journal-title":"Expert Systemswith Applications, 2005"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2006.09.005"},{"key":"rf7","first-page":"773","author":"Polat K.","journal-title":"Expert Systems with Applications"},{"key":"rf8","author":"Raymer M. L.","journal-title":"IEEE Transactions onEvolutionary Computation"},{"key":"rf10","first-page":"422","author":"Ture M.","journal-title":"Expert Systems with Applications"}],"container-title":["International Journal of Information Acquisition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219878911002410","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:35:31Z","timestamp":1565130931000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219878911002410"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,6]]},"references-count":9,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2012,4,6]]},"published-print":{"date-parts":[[2011,6]]}},"alternative-id":["10.1142\/S0219878911002410"],"URL":"https:\/\/doi.org\/10.1142\/s0219878911002410","relation":{},"ISSN":["0219-8789","1793-6985"],"issn-type":[{"value":"0219-8789","type":"print"},{"value":"1793-6985","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,6]]}}}