EAN: 9781852336554

UNCERTAINTY HANDLING AND QUALITY ASSESSMENT IN ...

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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