Evaluating Quality Issues in BPMN Models by Extending a Technical Debt Software Platform
Taking into account the current role of modelling at organizational levels, the quality of business process models (i.e., models...
Utility-Driven Data Management for Data-Intensive Applications in Fog Environments
The usage of sensors, smart devices, and wearables is becoming more and more common, and the amount of data...
Assessing the Positional Planimetric Accuracy of DBpedia Georeferenced Resources
Assessing the quality of the main linked data sources on the Web like DBpedia or Yago is an important...
How the Conceptual Modelling Improves the Security on Document Databases
Big Data is becoming a prominent trend in our society. Ever larger amounts of data, including sensitive and personal...
A Four V’s Design Approach of NoSQL Graph Databases
Big Data has been described as a four-dimensional model with Volume, Variety, Velocity, and Veracity. In this paper we...
Leveraging the Dynamic Changes from Items to Improve Recommendation
User-generated reviews contain rich information, which has been ignored by most of recommender systems. Recently, some recommender systems using...
Towards Efficient and Informative Omni-Channel Customer Relationship Management
Nowadays customers expect a seamless interaction with companies throughout all available communication channels. However, many companies rely on different...
Mining Rules with Constants from Large Scale Knowledge Bases
Rules or constraints can be used to clean a knowledge base, or find new facts which should have been...
Concepts in Quality Assessment for Machine Learning – From Test Data to Arguments
There have been active efforts to use machine learning (ML) techniques for the development of smart systems, e.g., driving...
Inductive Discovery by Machine Learning for Identification of Structural Models
Automatic extraction of structural models interferes with the deductive research method in information systems research. Nonetheless it is tempting...
