Applying a Data Quality Model to Experiments in Software Engineering
Data collection and analysis are key artifacts in any software engineering experiment. However, these data might contain errors. We...
Applications of Ontologies in Enterprise Modelling: A Systematic Mapping Study
Ontologies have been used in several fields as an engineering artefact with the main purpose of conceptualizing a specific...
Towards Indicators for HCI Quality Evaluation Support
The current variety of existing approaches for HCI quality evaluation is marked by a lack of the integration of...
A Semi-clustering Scheme for High Performance PageRank on Hadoop
As global Internet business has been evolving, large-scale graphs are becoming popular. PageRank computation on the large-scale graphs using...
Towards a Qualitative Representation of Movement
Over the past few years there have been several attempts to model and represent the spatial and temporal properties...
Energy Consumption Prediction by Using an Integrated Multidimensional Modeling Approach and Data Mining Techniques...
During the past decades the resources have been used of an irresponsible and negligent manner. This has led to...
Lagrangian Xgraphs: A Logical Data-Model for Spatio-Temporal Network Data: A Summary
Given emerging diverse spatio temporal network (STN) datasets, e.g., GPS tracks, temporally detailed roadmaps and traffic signal data, the...
Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation
Many organizations rely on relational database platforms for OLAP-style querying (aggregation and filtering) for small to medium size applications....
A Data Quality in Use Model for Big Data
Organizations are nowadays immersed in the Big Data Era. Beyond the hype of the concept of Big Data, it...
Business Intelligence and Big Data in the Cloud: Opportunities for Design-Science Researchers
Cloud computing and big data offer new opportunities for business intelligence (BI) and analytics. However, traditional techniques, models, and...
