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A UML 2.0 profile to design Association Rule mining models in the multidimensional conceptual modeling of data warehouses
TLDR
This paper presents a novel approach to integrating data mining models into multidimensional models in order to accomplish the conceptual design of DWs with Association Rules (AR). Expand
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A UML profile for the conceptual modelling of data-mining with time-series in data warehouses
TLDR
We propose a unified modelling language (UML) extension through UML profiles for data-mining that allows us to specify time-series analysis on top of the multidimensional models of data warehouses. Expand
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Integrating Clustering Data Mining into the Multidimensional Modeling of Data Warehouses with UML Profiles
TLDR
We propose (i) a conceptual model for clustering that helps focusing on the data-mining process at the adequate abstraction level and (ii) an extension of the unified modeling language (UML) by means of the UML profiling mechanism allowing us to design clustering data- mining models on top of the MD model of a DW. Expand
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Open business intelligence: on the importance of data quality awareness in user-friendly data mining
TLDR
We advocate that data mining for OpenBI requires data quality-aware mechanisms for guiding non-expert users in obtaining and sharing the most reliable knowledge from the available LOD. Expand
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Development of a Knowledge Base for Enabling Non-expert Users to Apply Data Mining Algorithms
TLDR
We propose a model-driven approach for the development of a knowledge base, which is automatically fed by a Taverna workflow, which contains information about previously solved data mining tasks. Expand
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Single cell‐derived clones from human adipose stem cells present different immunomodulatory properties
Human adipose mesenchymal stem cells are a heterogeneous population, where cell cultures derived from single‐cell‐expanded clones present varying degrees of differential plasticity. This work focusesExpand
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Conceptual Modeling for Classification Mining in Data Warehouses
TLDR
We present a conceptual model for Classification and a UML profile that allows the design of Classification on MD models. Expand
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Towards a data quality model for open data portals
TLDR
We propose a new Quality Model for Open Data portals which is exposed from two points of view: qualitative and quantitative. Expand
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Linked Open Data mining for democratization of big data
TLDR
We present an infrastructure that allows non-expert users to (i) apply user-friendly data mining techniques on big data sources, and (ii) share results as Linked Open Data (LOD) after being semantically annotated as LOD. Expand
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Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide
TLDR
We propose an approach to offer non-expert miners a tool that just by uploading their data sets, return them the more accurate mining pattern without dealing with algorithms or settings, thanks to the use of a data mining algorithm recommender. Expand
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