A Large Volume of Data Handling Activity: Review of Knowledge Discovery Process

Pardeep Nehra


In this paper we will discuss and work with the enormous amount of data stored in files, databases, and other repositories, it is increasingly important, of not necessary, to develop powerful means for analysis and perhaps interpretation of such data and for extraction of interesting knowledge that could help in decision-making. Data Mining, also popularly known as Knowledge Discovery in Data bases (KDD), refers to the nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases. While data mining and knowledge discovery in databases (or KDD) are frequently treated as synonyms, data mining is actually part of the knowledge discovery process. From the available data: Transactional data, Scientific data , medical and personal data, digital and gaming data.

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