Preston / Amsterdam / Information Systems Bled / /
Company
McGraw-Hill / MySQL / AAAI/MIT Press / /
Country
Netherlands / Slovenia / Singapore / / /
Facility
Rodger Jamieson The University of New South Wales / Carnegie Mellon University / Building Competitive Advantage / Prentice Hall / University of California / / /
IndustryTerm
data mining techniques / appropriate tools / ecommerce organisation / e-commerce fraud detection prototype software / fraudulent e-commerce transactions using data mining techniques / Online Audit Review System / fraud detection software / intrusion detection systems / e-commerce / e-commerce systems / e-commerce training sets / data mining prototype / data mining system / data mining / e-commerce transactions / software prototype / electronic commerce transactions / Internet Research-Electronic Networking Applications / security systems / fraud pattern detection software / e-commerce organisation / advertising techniques / earlier algorithm / electronic commerce data / business management / association rule algorithms / ecommerce fraud / e-commerce fraud / data association rule algorithms / online transactions / online shopping / online fraud / customer relationship management / classification rule-learning algorithms / classification algorithm / online business prospects / e-commerce auditing systems / continuous auditing / fraud detection software prototype / financial services / machine learning algorithm / electronic commerce environments / Internet security / electronic commerce fraud / final software version / classification algorithms / e - commerce / e-commerce fraud detection / detection algorithms / ambitious and complicated algorithm / e-commerce databases / e-commerce fraud detection model / rules-based auditing systems / learning algorithms / electronic commerce / /
OperatingSystem
Microsoft Windows / /
Organization
MIT / State and Federal police / University of California / Irvine / Computer Science Department / University of New South Wales / Sydney / Carnegie Mellon University / Pittsburgh / /
Person
Van de Welde / Rodger Jamieson / Narciso Cerpa / Morgan Kaufmann / Benjamin Anandarajah / / /
Position
system administrator / research model for e-commerce fraud / CPA / administrator / Fisher / /
Product
C4 / /
ProgrammingLanguage
Java / C / SQL / /
ProvinceOrState
Pennsylvania / California / /
PublishedMedium
Machine Learning / /
Region
South Wales / /
Technology
earlier algorithm / using data association rule algorithms / AI algorithms / CRM / machine learning algorithm / ID3 algorithm / association rule algorithms / classification rule-learning algorithms / detection algorithms / machine learning / operating system / classification algorithm / ambitious and complicated algorithm / C4.5 classification algorithm / preferred algorithm / neural network / artificial intelligence / Java / classification algorithms / DATA MINING / C4.5 algorithm / data mining system / database using JDBC technology / GUI / /
Global Co-Operation in the New Millennium The 9th European Conference on Information Systems Bled, Slovenia, June 27-29, 2001 DATA MINING PROTOTYPE FOR DETECTING E-COMMERCE FRAUD [RESEARCH IN PROGRESS]