+44 1803 865913
By: Rob Sullivan
942 pages, 84 colour & 122 b/w illustrations
Data mining provides a set of new techniques to integrate, synthesize, and analyze data, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.
- Fundamental Concepts
- Data Architecture and Data Modeling
- Representing Data Mining Results
- The Input Side of the Equation
- Statistical Methods
- Bayesian Statistics
- Machine Learning Techniques
- Classification and Prediction
- Systems Biology
- Let's Call it a Day
There are currently no reviews for this book. Be the first to review this book!
Your orders support book donation projects
The shipment arrived, beautifully packaged, in perfect condition. Thanks for your exceptional service.
Search and browse over 110,000 wildlife and science products
Multi-currency. Secure worldwide shipping
Wildlife, science and conservation since 1985