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Sequential pattern mining is an important and useful tool with broad applications, such as analyzing customer purchase behavior, recommending services to customers, and so on. It is challenging since explosive number of subsequences need to be examined and both the memory and computational cost are becoming extremely expensive when the sequence database grows huge. Many previous algorithms developed...
The flexibility in data-intensive applications makes the business process cannot be designed in advance. Due to not integrating with the business data, current process management technology cannot support the construction of business process in data-intensive applications very well. In order to solve the problem, we proposed a declarative and data-driven method to support business process construction...
Business process model and data model play important roles in information system construction. They represent two different perspectives of business knowledge, and are closely related. A trouble to the model quality is the inconsistency between business process model and data model, which can often conduce to interaction errors. While finding such inconsistency is a meaningful problem, it receives...
Recent research on processes in information system has revealed that processes in prevalent fields present to be semi-Structural. It seems to be structural at the process layer, but in the enacting time, executive situation might change due to various reasons. To solve that, in this paper, we illustrate how the flexibility of construction processes can be handled using a hybrid method. At structural...
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