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Great amount of data is being accumulated very rapidly in the Internet era. Consequently, it takes a lot of time and effort to process these data for knowledge discovery and decision making. Compressed transaction data set methods is much better as compare to the other methods a more efficient approach, called Mining Merged Transactions with the Quantification Table (MMTQT) is proposed, which can compress the original database into a smaller one and perform the data mining process without the above problems.

Produktbeschreibung
Great amount of data is being accumulated very rapidly in the Internet era. Consequently, it takes a lot of time and effort to process these data for knowledge discovery and decision making. Compressed transaction data set methods is much better as compare to the other methods a more efficient approach, called Mining Merged Transactions with the Quantification Table (MMTQT) is proposed, which can compress the original database into a smaller one and perform the data mining process without the above problems.
Autorenporträt
Rabia Hanfi obteve o seu mestrado (M.Tech) em Engenharia Informática na Rajiv Gandhi Proudyogiki Vishwavidyalaya. Atualmente, trabalha como professora assistente no Departamento de Inteligência Artificial e Aprendizagem Automática do Instituto de Investigação e Tecnologia de Sagar. Tem 7 anos de experiência de ensino.