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Printable Handouts
Navigable Slide Index
- Introduction
- Data mining
- What is data mining?
- A blend of enabling disciplines
- Statistics
- Machine learning
- Visualization
- Database
- Computer science
- What data mining adds
- The CRISP-DM model
- The challenges
- Development of a community
- Convergence of contributing disciplines
- Commercial systems and methodologies
- Association rules
- Customer relationship management
- Business process analysis
- Scientific data analysis
- Web search and online services
- Homeland security
- Text mining
- Evolution of data-centric businesses
- Privacy
- The state-of-the-art
- The future: formalisation and theory
- The future: modeling high-dimensional data
- The future: verticals
- The future: CPU and data growth
- The future: industry growth and specialization
- References
Topics Covered
- What is data mining?
- The CRISP-DM model
- Convergence of contributing disciplines
- Commercial systems and methodologies
- Business process analysis
- Scientific data analysis
- Text mining
- Evolution of data centric businesses
- Text mining
- Evolution of data centric businesses
- Privacy
- Formalization and theory
- Modeling high dimensional data
- Verticals
- CPU and data growth
- Industry growth and specialization
Talk Citation
Webb, G. (2008, June 17). The past and future of data mining: where are we coming from, where are we going to? [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved December 12, 2024, from https://doi.org/10.69645/SREN2374.Export Citation (RIS)
Publication History
The past and future of data mining: where are we coming from, where are we going to?
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