Journal article
Diminishing downsides of Data Mining
International journal of business intelligence and data mining, v 2(2), pp 177-196
01 Jan 2007
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.
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4 citations in Scopus
Details
- Title
- Diminishing downsides of Data Mining
- Creators
- John Wang - 1 Department of M&IS, Montclair State University, Montclair, NJ 07043, USAXiaohua Hu - 2 College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USADan Zhu - 3 Department of Logistics, Operations and MIS, Iowa State University, Ames, IA 50011, USA
- Publication Details
- International journal of business intelligence and data mining, v 2(2), pp 177-196
- Publisher
- Inderscience Publishers
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-34250817472
- Other Identifier
- 991014878605604721