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Uncertainty Handling and Quality Assessment in Data Mining
Engelsk
Bogcover for Uncertainty Handling and Quality Assessment in Data Mining af Maria Halkidi, Michalis Vazirgiannis, Dimitrious Gunopulos, 9781447111191
Specifikationer
Sprog:
Engelsk
Sider:
226
ISBN-13:
9781447111191
Indbinding:
Paperback
ISBN-10:
1447111192
Kategori:
Udg. Dato:
4 okt 2012
Størrelse i cm:
23,5 x 15,6 x 1,3
Oplagsdato:
4 okt 2012

Uncertainty Handling and Quality Assessment in Data Mining

Engelsk
Paperback 2012
Format:

Bog beskrivelse
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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Specifikationer
Sprog:
Engelsk
Sider:
226
ISBN-13:
9781447111191
Indbinding:
Paperback
ISBN-10:
1447111192
Kategori:
Udg. Dato:
4 okt 2012
Størrelse i cm:
23,5 x 15,6 x 1,3
Oplagsdato:
4 okt 2012
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