无聊的人
发表于 2025-3-28 18:12:47
Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department odata mining techniques used. Results from the pilot project revealed that the data mining based approach can increase efficiency in the audit selection process. We also report results from actual field audits performed by auditors at the DOR, and results validated the usefulness of the data mining b
重力
发表于 2025-3-28 20:16:25
A Nearest Neighbor Approach to Build a Readable Risk Score for Breast Cancernumerous model variations by combining at best, physician expectations and performances. A risk score made of four parameters: ., ., . and ., is chosen. Detection performance measured with the area under the ROC curve is 0.637. A graphical user interface is presented to show how users will interact
COWER
发表于 2025-3-29 02:21:36
http://reply.papertrans.cn/83/8223/822214/822214_43.png
食道
发表于 2025-3-29 04:32:28
Book 2015 volume is to provide a balanced treatment of the latest advances and developments in data mining; in particular, exploring synergies at the intersection with information systems. It will serve as a platform for academics and practitioners to highlight their recent achievements and reveal potential
首创精神
发表于 2025-3-29 10:29:14
Brendan Kitts,Jing Ying Zhang,Gang Wu,Wesley Brandi,Julien Beasley,Kieran Morrill,John Ettedgui,Sid
排斥
发表于 2025-3-29 11:31:27
Annals of Information Systemshttp://image.papertrans.cn/r/image/822214.jpg
Glycogen
发表于 2025-3-29 18:16:19
https://doi.org/10.1007/978-3-319-07812-0Data Mining; Fraud Detection; Informatics; Knowledge Management; Machine Learning; Web Analytics
北极人
发表于 2025-3-29 23:09:52
Mahmoud Abou-Nasr,Stefan Lessmann,Gary M. WeissAddresses the broad range of issues in data mining.Looks at applications in business and management, fraud detection, and new medical applications.Covers established and cutting-edge applications.Incl
Generic-Drug
发表于 2025-3-30 01:32:36
978-3-319-07811-3Springer International Publishing Switzerland 2015
Gingivitis
发表于 2025-3-30 07:45:58
Real World Data Mining Applications978-3-319-07812-0Series ISSN 1934-3221 Series E-ISSN 1934-3213