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WorldCist'18 - 6th World Conference on Information Systems and Technologies

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From KDD to KUBD: the Big Data Characteristics Against the KDD Process steps

The Big Data is the current challenge for the computing field not only because of the volume of data involved but also for the amazing promises it makes to analyze and interpret massive data in order to generate useful and strategic knowledge in various fields such as security, sales and education. However, the massive volume of data in addition to other characteristics of Big Data such as the variety, velocity, and variability require a whole new set of techniques and technologies, that are not yet available, to extract the desired knowledge effectively. The KDD (Knowledge Discovery in Databases) has achieved excellent results in the classical database context and that is why we examine the possibility of adapting it to the Big Data context in order to take advantage of its strong and effective data processing techniques. We propose therefore a new process KUBD (Knowledge Unveiling in Big Data) inspired by the KDD process and adapted to the Big Data context.

Naima LOUNES
Ecole nationale Supérieure d'Informatique
Algeria

Rachid CHALAL
Ecole nationale Supérieure d'Informatique
Algeria

Walid-Khaled HIDOUCI
Ecole nationale Supérieure d'Informatique
Algeria

Houria OUDGHIRI
Ecole nationale Supérieure d'Informatique
Algeria

 

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