Mathematical methods for knowledge disco
β Giovanni Felici, Giovanni Felici, Carlo Vercellis
π Library
π
2008
π Information Science Reference
π English
β¦ LIBER β¦
π
Mathematical Methods for Knowledge Discovery and Data Mining
β Scribed by Giovanni Felici, Carlo Vercellis
- Year
- 2007
- Tongue
- English
- Leaves
- 394
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ 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.
π SIMILAR VOLUMES
Mathematical Methods for Knowledge Disco
β Giovanni Felici, Giovanni Felici, Carlo Vercellis
π Library
π
2008
π Information Science Reference
π English
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
Data Mining Methods for Knowledge Discov
β Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski (auth.)
π Library
π
1998
π Springer US
π English
<p><em>Data Mining Methods for Knowledge Discovery</em> provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, ge
Data Mining and Knowledge Discovery for
β Guangren Shi (Auth.)
π Library
π
2014
π Elsevier
π English
<p>Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data.Β Most geoscientists hav
Data mining and knowledge discovery for
β Shi, Guangren
π Library
π
2014
π Elsevier
π English
1. Introduction -- 2. Probability and statistics -- 3. Artificial neural networks -- 4. Support vector machines -- 5. Decision trees -- 6. Bayesian classification -- 7. Cluster analysis -- 8. Kriging -- 9. Other soft computing algorithms for geosciences -- 10. A practical software system of data min
Soft Computing for Knowledge Discovery a
β Oded Maimon, Lior Rokach
π Library
π
2007
π Springer
π English
Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the env