Diminishing Downsides of Data Mining
Document Type
Article
Publication Date
7-2-2007
Journal / Book Title
International Journal of Business Intelligence and Data Mining
Abstract
Data Mining (DM) helps deliver tremendous insights for businesses into the problems they face and aids in identifying new opportunities. It further helps businesses to solve more complex problems and make smarter decisions. DM is a potentially powerful tool for companies; however, more research is needed to measure the benefits of DM. This paper represents a study of the effectiveness of DM in a commercial perspective. First, statistical issues are given. It is followed by data accuracy and standardisation. Diverse problems related to the information used for conducting a DM research are identified. Also, the technical challenges and potential roadblocks in an organisation itself are described.
DOI
10.1504/IJBIDM.2007.013936
Journal ISSN / Book ISBN
ISSN: 1743-8187
MSU Digital Commons Citation
Wang, John; Hu, Xiaohua; and Zhu, Dan, "Diminishing Downsides of Data Mining" (2007). Department of Information Management and Business Analytics Faculty Scholarship and Creative Works. 62.
https://digitalcommons.montclair.edu/infomgmt-busanalytics-facpubs/62
Published Citation
Wang, J., Hu, X., & Zhu, D. (2007). Diminishing downsides of data mining. International Journal of Business Intelligence and Data Mining, 2(2), 177-196.