Cloud computing is transforming into a promising technology, as it integrates web mining analytics as well, especially
when there is a high focus on ensuring the confidentiality and integrity of end-user data. These benefits, however, are restricted
for the issue of confidentiality and data. When it comes to data transfer to the cloud services, cloud consumers lose control of
their data and do not know how it will be processed and assigned to a service. Machine learning and business process integration
are becoming more and more popular as companies cross organizational boundaries. Web mining is used to achieve business
intelligence by finding data flow errors in cloud computing traffic. One of the important aspects of a workflow analysis of the
data stream is the angle of view. Even when a proper processing sequence syntax is given, the workflow specification error still
occurs due to incorrect data flow error detection based on workflow specification error execution.
