Uncertainty Handling and Quality Assessment in Data Mining

Name: Uncertainty Handling and Quality Assessment in Data Mining
Brand: Springer London Ltd
SKU: 9781447111191
Price: 297.36 RON
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Autor: Dimitrios Gunopulos

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Editura: Springer London Ltd

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297.36 lei

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

Informații despre carte

Autor

Dimitrios Gunopulos

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2012

Pagini

226

EAN

9781447111191

ISBN

9781447111191

Enbook ID

05351819

Editura

Springer London Ltd

Greutate

350

Dimensiuni

156 x 235 x 13

Descriere completă

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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