Data Mining: Practical Machine Learning Tools and Techniques
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Abstract
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references.…
Citation impact
25,711
total citations
- FWCI
- 777.89
- Percentile
- 100%
- References
- 203
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Computer science
- Machine learning
- Data science
- Data mining
- Artificial intelligence
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