Performance Evaluations of Diagnostic Prediction with Neural Networks with Data Filters in Different Types

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Big Data
Format: PDF
The advent of the information age and the rapid development of IT skills have led to the construction of massive databases, thus the current research focus is shifting to the efficient utilization of these vast volumes of stored information. Among the data mining algorithms that have been applied to this problem, neural networks can be used with various types, qualities, distributions, or volumes of data and they have high predictive power. Thus, neural networks are known to be the most useful and extensible algorithms, whereas logistic analysis has many constraints.
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