The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. **Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniqu
Mathematical Methods for Knowledge Discovery and Data Mining
โ Scribed by Giovanni Felici, Giovanni Felici, Carlo Vercellis
- Book ID
- 127444973
- Publisher
- Information Science Reference
- Year
- 2008
- Tongue
- English
- Weight
- 9 MB
- Series
- Premier Reference Source
- Edition
- 2
- Category
- Library
- City
- Hershey
- ISBN
- 1599045303
No coin nor oath required. For personal study only.
โฆ Synopsis
The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance measurement, and telecommunications.
๐ SIMILAR VOLUMES
this Book Brings Together Research Articles By Active Practitioners And Leading Researchers Reporting Recent Advances In The Field Of Knowledge Discovery. an Overview Of The Field, Looking At The Issues And Challenges Involved Is Followed By Coverage Of Recent Trends In Data Mining. This Provides T