LEADER 00000cam a2200769Ia 4500 001 ocn283807186 003 OCoLC 005 20160527040723.4 006 m o d 007 cr cnu---unuuu 008 081214s2008 ne ob 101 0 eng d 019 191037268|a320892367|a491261512|a503444040|a646786555 |a698471108|a744948799|a815690754 020 9781435678200|q(electronic book) 020 1435678206|q(electronic book) 020 9781597344760|q(electronic book) 020 1597344761|q(electronic book) 020 9781607503545 020 1607503549 020 128178639X 020 9781281786395 020 |z1586038907 020 |z9781586038908 035 (OCoLC)283807186|z(OCoLC)191037268|z(OCoLC)320892367 |z(OCoLC)491261512|z(OCoLC)503444040|z(OCoLC)646786555 |z(OCoLC)698471108|z(OCoLC)744948799|z(OCoLC)815690754 037 978-1-58603-890-8|bIOS Press|nhttp://www.iospress.nl 040 N$T|beng|epn|cN$T|dOCLCQ|dE7B|dAU@|dYDXCP|dIOSPR|dIDEBK |dMEAUC|dMHW|dEBLCP|dOCLCO|dOCLCQ|dOCLCO|dOCLCF|dDEBSZ |dOCLCO|dOCLCQ|dNLGGC|dOCLCQ|dOCLCO|dOCL|dOCLCO 049 RIDW 050 4 QA76.9.D343|bA67 2008eb 072 7 COM|x021030|2bisacsh 072 7 UXAM|2bicssc 082 04 006.3/12|222 090 QA76.9.D343|bA67 2008eb 245 00 Applications of data mining in e-business and finance / |cedited by Carlos Soares [and others]. 264 1 Amsterdam ;|aWashington, DC :|bIOS Press,|c[2008] 264 4 |c©2008 300 1 online resource (1 volume). 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 340 |gpolychrome|2rdacc 347 text file|2rdaft 490 1 Frontiers in artificial intelligence and applications, |x0922-6389 ;|vv. 177 500 Selection of papers from the Data Mining for Business Workshop which was held together with the 11th Pacific- Asia Conference on Knowledge Discovery and Data Mining in Nanjing, China. 504 Includes bibliographical references and index. 505 0 Title page; Preface; Program Committee; Contents; Applications of Data Mining in E-Business and Finance: Introduction; Evolutionary Optimization of Trading Strategies; An Analysis of Support Vector Machines for Credit Risk Modeling; Applications of Data Mining Methods in the Evaluation of Client Credibility; A Tripartite Scorecard for the Pay/No Pay Decision-Making in the Retail Banking Industry; An Apriori Based Approach to Improve On- Line Advertising Performance; Probabilistic Latent Semantic Analysis for Search and Mining of Corporate Blogs; A Quantitative Method for RSS Based Applications. 520 In spite of the close relationship between research and practice in Data Mining, it is not easy to find information on some of the important issues involved in real world application of DM technology. This book address some of these issues. It is suitable for Data Mining researchers and practitioners. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Data mining|vCongresses.|0https://id.loc.gov/authorities/ subjects/sh2008102035 650 0 Electronic commerce|vCongresses.|0https://id.loc.gov/ authorities/subjects/sh2008102590 650 7 Data mining.|2fast|0https://id.worldcat.org/fast/887946 650 7 Electronic commerce.|2fast|0https://id.worldcat.org/fast/ 906906 655 0 Electronic books. 655 4 Electronic books. 655 7 Conference papers and proceedings.|2fast|0https:// id.worldcat.org/fast/1423772 655 7 Conference papers and proceedings.|2lcgft|0https:// id.loc.gov/authorities/genreForms/gf2014026068 700 1 Soares, Carlos.|0https://id.loc.gov/authorities/names/ n86848342 711 2 Data Mining for Business Workshop|d(2007 :|cNanjing Shi, China) 711 2 Pacific-Asia Conference on Knowledge Discovery and Data Mining|0https://id.loc.gov/authorities/names/n97061194 |n(11th :|d2007 :|cNanjing, Shi, China) 776 08 |iPrint version:|tApplications of data mining in e- business and finance.|dAmsterdam ; Washington, DC : IOS Press, ©2008|z1586038907|z9781586038908|w(OCoLC)244320575 830 0 Frontiers in artificial intelligence and applications ; |0https://id.loc.gov/authorities/names/n92019289|vv. 177. 856 40 |uhttps://rider.idm.oclc.org/login?url=http:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=244489|zOnline eBook. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading this eBook|uhttp:// guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d201606016|cEBSCO|tebscoebooksacademic|lridw 994 92|bRID