: In this paper, we are implementing a credit card fraud detection system, by using big data technologies. Credit card is one of the most divisive products among all the financial tools available.
The usage of credit cards has become common in today’s world and huge volume of transaction happens online. The increase in these transactions has al...
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Big data frameworks such as Apache Spark are becoming prominent to perform large-scale data analytics jobs. However, local or on-premise computing resources are often not sufficient to run these jobs. Therefore, public cloud resources can be hired on a pay-per-use basis from the cloud service providers to deploy a Spark cluster entirely on the clou...
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Big-data frameworks such as MapReduce/Hadoop or Spark have many performance-critical configuration parameters which may interact with each other in a complex way. Their optimal values for an application on a given cluster are affected by not only the application itself but also its input data. This makes offline auto-configuration approaches hard t...
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The discovery and exploitation of hidden informa-tion in collected data has gained attention in many areas, particularly in the energy field due to their economic and environmental impact.Data mining techniques have then emerged as a suitable toolbox for analysing the data collected in modern network management systems in order to obtain a meaning...
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