Mining with Neural Networks
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Abstract
In the present scenario, it is important to mine valuable data from the elephantine set of data. In order to analysis high-dimensional data that is a task where software tools can reasonably assist the data analyst, by visualizing, and thereby uncovering, the inherent structure and topology of the data collection. Here, the neural network models may be one solution that can produce results autonomously. Text mining, also referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. The purpose of this paper is to learn how the text is mined with Adaptive Neural Network technique so that a valuable output is to be generated.
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References
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