Information Mining Processes Based on Intelligent Systems-Reference-Cited by-同舟云学术

Information Mining Processes Based on Intelligent Systems

Published:2013 Issue: Volume: Page:402-410
ISSN:0302-9743
Container-title:Recent Trends in Applied Artificial Intelligence
language:
Short-container-title:

Author:

García-Martínez Ramón,Britos Paola,Rodríguez Dario

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-38577-3_41

Reference26 articles.

1. Thomsen, E.: BI’s Promised Land. Intelligent Enterprise 6(4), 21–25 (2003)

2. Negash, S., Gray, P.: Business Intelligence. In: Burstein, F., Holsapple, C. (eds.) En Handbook on Decision Support Systems 2, pp. 175–193. Springer, Heidelberg (2008)

3. Langseth, J., Vivatrat, N.: Why Proactive Business Intelligence is a Hallmark of the Real-Time Enterprise: Outward Bound. Intelligent Enterprise 5(18), 34–41 (2003)

4. Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., Shan, M.: Business Process Intelligence. Computers in Industry 53(3), 321–343 (2004)

5. Michalski, R., Bratko, I., Kubat, M.: Machine Learning and Data Mining, Methods and Applications. John Wiley & Sons (1998)

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A process-centric performance management in a call center;Applied Intelligence;2022-05-27

2. Exploring data mining: facets and emerging trends;Digital Library Perspectives;2021-10-20

3. Process Model Proposal for Requirements Engineering in Information Mining Projects;Communications in Computer and Information Science;2017

4. Co-location Rules Discovery Process Focused on Reference Spatial Features Using Decision Tree Learning;Advances in Artificial Intelligence: From Theory to Practice;2017

5. Intelligent Systems in Modeling Phase of Information Mining Development Process;Trends in Applied Knowledge-Based Systems and Data Science;2016