Uncertainty Handling and Quality Assessment in Data Mining

Name: Uncertainty Handling and Quality Assessment in Data Mining
Brand: Springer London Ltd
SKU: 9781447111191
Price: 59.33 EUR
Availability: InStock

Автор: Dimitrios Gunopulos

Език:

Корици: С меки корици

Издател: Springer London Ltd

Наличност: Външен склад в ограничено количество

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59.33 € 116.04 лв

The recent explosive growth of our ability to generate and store data has created a need for new, sc...

Информация за книгата

Автор

Dimitrios Gunopulos

Език

Английски език

Корици

Книга - С меки корици

Издадена

2012

страници

226

EAN

9781447111191

ISBN

9781447111191

Enbook ID

05351819

Издател

Springer London Ltd

Теглоt

350

Размери

156 x 235 x 13

Пълно описание

The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques.

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Uncertainty Handling and Quality Assessment in Data Mining

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