Conceptual Modeling for Classification Mining in Data Warehouses

Toward data mining engineering: A software engineering approach

“…And in [101] a requirements phase similar to the one in SE is introduced in the process. There are other examples of interaction between SE techniques and DM: in [104] a Services Oriented Architecture (SOA) and a Model-View-Controller pattern are used to support a DM project, and in [105][106][107][108] UML profiles are used to model DM algorithms.…”

A UML profile for the conceptual modelling of data-mining with time-series in data warehouses

“…Besides the multidimensional model of a data warehouse, we have previously presented conceptual models for commonly-used data-mining techniques such as association rules [10,11], classification [12], or clustering [13]. In all cases, we have used the same technical solution for modelling: profiling UML in order to provide intuitive models which guide analysts through the KDD process.…”

“…1). By following the KDD process, we have proposed a model-based data-mining with association rules [10,11], classification [12], and clustering [13] on top of multidimensional models of data warehouses.…”

Domain-specific language modelling with UML profiles by decoupling abstract and concrete syntaxes

“…However, the visualisation convenience has prevailed. Zubcoff and Trujillo (2006) Classification UML Properties are stereotyped as mining attributes.…”