Mining Big Sources Using Efficient Data Mining Algorithms

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Big Data
Format: PDF
Data mining algorithms are widely used in the real world application in order to discover knowledge from large data sources. These algorithms work on historical data to analyze data in order to bring about trends or patterns. Association rule mining or frequent item set mining is very useful in applications like inductive databases, query expansion and others. A frequent itemset is the itemset when a set of records are repeated for specified number of times in a given dataset.
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