Interacting with statistical linked data via OLAP operations
Abstract Online Analytical Processing (OLAP) promises an interface to analyse Linked Data
containing statistics going beyond other interaction paradigms such as follow-your-nose …
containing statistics going beyond other interaction paradigms such as follow-your-nose …
A requirement-driven approach to the design and evolution of data warehouses
Designing data warehouse (DW) systems in highly dynamic enterprise environments is not
an easy task. At each moment, the multidimensional (MD) schema needs to satisfy the set of …
an easy task. At each moment, the multidimensional (MD) schema needs to satisfy the set of …
Conceptualizing analytics: an overview of business intelligence and analytics from a conceptual-modeling perspective
CG Schuetz, M Schrefl - … : Core Technologies and Emerging Topics from a …, 2023 - Springer
Business intelligence and data analytics projects often involve low-level, ad hoc data
wrangling and programming, which increases development effort and reduces usability of …
wrangling and programming, which increases development effort and reduces usability of …
Modelling knowledge about data analysis processes in manufacturing
T Neuböck, M Schrefl - IFAC-PapersOnLine, 2015 - Elsevier
Abstract In industry 4.0, analytics and business intelligence (BI) are of particular importance
to increase productivity, quality, and flexibility. It is necessary to make right and quick …
to increase productivity, quality, and flexibility. It is necessary to make right and quick …
Reference modeling for data analysis: The BIRD approach
CG Schuetz, B Neumayr, M Schrefl… - International Journal of …, 2016 - World Scientific
Reference models for data analysis with data warehouses may consist of multidimensional
reference models and analysis graphs. Multidimensional reference models are best-practice …
reference models and analysis graphs. Multidimensional reference models are best-practice …
Ontology-driven business intelligence for comparative data analysis
In this tutorial, we present an ontology-driven business intelligence approach for
comparative data analysis which has been developed in a joint research project, Semantic …
comparative data analysis which has been developed in a joint research project, Semantic …
Mining SQL workloads for learning analysis behavior
This paper presents a set of analyses aiming at better understanding the SQLShare
workload Jain et al.(2016) and learning users' analysis behavior. SQLShare is a database …
workload Jain et al.(2016) and learning users' analysis behavior. SQLShare is a database …
Learning analysis patterns using a contextual edit distance
This paper presents a proposal for learning users' behavior patterns when they interactively
analyse data. Users' explorations (sequences of queries) are compared looking for …
analyse data. Users' explorations (sequences of queries) are compared looking for …
Cold-start recommender system problem within a multidimensional data warehouse
Data warehouses store large volumes of consolidated and historized multidimensional data
for analysis and exploration by decision-makers. Exploring data is an incremental OLAP (On …
for analysis and exploration by decision-makers. Exploring data is an incremental OLAP (On …
Evaluation of user satisfaction with OLAP recommender systems: an application to RecoOLAP on a agricultural energetic consumption datawarehouse
OLAP and datawarehouse (DW) systems are technologies intended to support the decision-
making process, enabling the analysis of a substantial volume of data. One of the goals of …
making process, enabling the analysis of a substantial volume of data. One of the goals of …