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Over the last decade, process mining emerged as a new research field that focuses on the analysis of processes using event data. Classical data mining techniques such as classification, clustering, regression, association rule learning, and...
Optimal Adapter Creation for Process Composition in Synchronous vs. Asynchronous Communication
Zhe Shan, Akhil Kumar
Article No.: 8
A key issue in process-aware e-commerce collaboration is to orchestrate business processes of multiple business partners throughout a supply chain network in an automated and seamless way. Since each partner has its own internal processes with...
Two New Prediction-Driven Approaches to Discrete Choice Prediction
Zan Huang, Huimin Zhao, Dan Zhu
Article No.: 9
The ability to predict consumer choices is essential in understanding the demand structure of products and services. Typical discrete choice models that are targeted at providing an understanding of the behavioral process leading to choice...
Analyzing Online Review Helpfulness Using a Regressional ReliefF-Enhanced Text Mining Method
Thomas L. Ngo-Ye, Atish P. Sinha
Article No.: 10
Within the emerging context of Web 2.0 social media, online customer reviews are playing an increasingly important role in disseminating information, facilitating trust, and promoting commerce in the e-marketplace. The sheer volume of customer...
“Enforced” vs. “Casual” Transparency -- Findings from IT-Supported Financial Advisory Encounters
Philipp Nussbaumer, Inu Matter, Gerhard Schwabe
Article No.: 11
In sales-oriented service encounters like financial advice, the client may perceive information and interest asymmetries as a lack of transparency regarding the advisor’s activities. In this article, we will discuss two design...