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Data Mining and Knowledge Discovery in Database - Research Paper Example

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This paper is about the data mining as the main factor in the process involving the inferring of algorithms that explore the data, develop the model and discover the previous patters that are unknown. The method is mainly used in understanding the phenomenon from the data, prediction and analysis…
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Data Mining and Knowledge Discovery in Database
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Download file to see previous pages In the current situation, no process of handling of data has been considered superior than the other. The aim of the research is to come up with the right process involved in data mining and to organize important methods that are developed in the field into unified and coherent catalog; presenting the performance evaluation approaches and techniques and also the cases and software tools that uses the method (Dai, Liu & Smirnov, 2012). The research also focuses on identification of development in challenges for the next generation of science involving data.
KDD has evolved, and continues to evolve, from the intersection of research fields such as machine learning, AI, knowledge acquisition for expert systems, data visualization, pattern recognition, databases, statistics, and high-performance computing. The merging goal is extracting high-level knowledge from low-level data in the context of large data sets.
The data mining element of KDD currently depend on heavily on known methods from machine education, pattern acknowledgment, and statistics to find designs from data in the data mining step of the KDD process (DATABASE Editorial Board 2010, 2010). A major question that occurs currently in the use of KDD is how KDD different from pattern recognition or machine learning and other fields that are related to KDD. The answer is that these fields provide some of the data-mining methods that are used in the data-mining step of the KDD process.
KDD field is considered to be still in the early stage of development in the sense that further basics are being developed. There is expansion in the art that requires similar expansion of understanding and automation of the nine steps and the interrelation that occur in the dimensions in the field. For interrelation to occur there is need for better characterization of the KDD problem spectrum and definition as these are the main factors that are considered in its development. The terms in KDD are not well-defined in terms of what methods they contain, the type of problem is best solved by the methods and the results that are expected. ...Download file to see next pages Read More
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