Automated business process management – in times of digital transformation using machine learning or artificial intelligence

Concept drift detection in business process logs using deep learning

Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...

Next Generation Artificial Intelligence and Machine Learning

Machine learning - an artificial intelligence approach

Imagine that you get such certain awesome experience and knowledge by only reading a book. How can? It seems to be greater when a book can be the best thing to discover. Books now will appear in printed and soft file collection. One of them is this book machine learning an artificial intelligence approach. It is so usual with the printed books. However, many people sometimes have no space to br...

Application of Business Intelligence for Business Process Management

Companies require highly automated business process management (BPM) functionality, with the flexibility to incorporate business intelligence (BI) at appropriate stages throughout the workflow. Business Activity Monitoring (BAM) unifies these two technologies and provides real-time access to critical performance indicators to improve the speed and effectiveness of business operations. This pape...

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...