Titlebook: Uncertainty Handling and Quality Assessment in Data Mining; Michalis Vazirgiannis,Maria Halkidi,Dimitrios Guno Textbook 2003 Springer-Verl

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Data Mining Process,tics, as well as an important opportunity for innovation in business. Various applications, such as . and ., invoke different data mining techniques in order to achieve better understanding of customers’ behavior and thus to improve the quality of provided services achieving their business advantage.

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Case Studies,Nevertheless, the reader may still have some questions such as: “What are are these specific examples of using data mining in science and business? And what is the significance of all these techniques in real life applications?

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A. Morecki,K. Kȩdziorsensitivity. Exquisitely detailed color images offer neuroscientists, neurologists, and neurosurgeons a superb resource that will be of value both for the purpose of research and for the treatment of common brain diseases such as Alzheimer‘s disease and multiple sclerosis.978-3-642-54392-0

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Book 1993e, worldwide, interdisciplinary research effort.The development of deposition-characterization techniques and thescience and technology related to the synthesis of these films arecritical for the successful evolution of this interdisciplinary fieldof research and the implementation of the new materi

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