Data Mining: How Research Meets Practical Development?

Autor:	Xindong Wu, Nick Cercone, Ramamohanarao Kotagiri, W. Wah, Y. Lin, Gregory Piatetsky-Shapiro, S. Yu
Rok vydání:	2003
Předmět:	Human-Computer Interaction Data processing Development (topology) Artificial Intelligence Hardware and Architecture Computer science Data mining computer.software_genre Data science computer Software Information Systems Panel discussion
Zdroj:	Knowledge and Information Systems. 5:248-261
ISSN:	0219-3116 0219-1377
Popis:	At the 2001 IEEE International Conference on Data Mining in San Jose, California, on November 29 to December 2, 2001, there was a panel discussion on how data mining research meets practical development. One of the motivations for organizing the panel discussion was to provide useful advice for industrial people to explore their directions in data mining development. Based on the panel discussion, this paper presents the views and arguments from the panel members, the Conference Chair and the Program Committee Co-Chairs. These people as a group have both academic and industrial experiences in different data mining related areas such as databases, machine learning, and neural networks. We will answer questions such as (1) how far data mining is from practical development, (2) how data mining research differs from practical development, and (3) what are the most promising areas in data mining for practical development.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1eaa0e2eb6e2e9843daeb51cffa65792 https://doi.org/10.1007/s10115-003-0101-1 Zobrazit plný text záznamu Full text from SpringerLink