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.
| Original language | English |
|---|---|
| Pages (from-to) | 177-196 |
| Number of pages | 20 |
| Journal | International Journal of Business Intelligence and Data Mining |
| Volume | 2 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2007 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- DM
- Data mining
- Disaster planning
- Explanatory factors
- Monitoring
- Organisational issues: statistical issues
- Usability
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