In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

摘要随着产业界数据量的爆炸式增长, 大数据概念受到越来越多的关注. 由于大数据的海量,
复杂多样, 变化快的特性, 对于大数据环境下的应用问题, 传统的在小数据上的机器学习算法很多 …

Big data and analytics (BDA) are gaining momentum, particularly in the practitioner world.
Research linking BDA to improved organizational performance seems scarce and widely …

Process mining applies robust methodologies using data mining and machine learning for
pattern recognition, using models that represent the process flow identified by the sequence …

The goal of process discovery is to visualize event log data as a process model. In reality,
however, these models are often highly complex. Process trace clustering is a well-studied …

Real world applications provide many examples of unstructured processes, where process
execution is mainly driven by contingent decisions taken by the actors, with the result that …

Breast cancer is one of the serious diseases that threaten the life of many women worldwide.
The seriousness of this disease is that it is often discovered in late stages after a period of its …

Introduction Many hospitals are increasing their efforts to improve processes because
processes play an important role in enhancing work efficiency and reducing costs. However …

Sign language is one of the most important communication tools for hearing impaired
people. In this study, the recognition of two-handed dynamic words in Turkish Sign …