… optimal scale selection in a multi-scale set-valued decision table. To … set-valued decision
tables and study the optimal scale selection problem of multi-scale set-valued decision tables (…

… The objective of GrC is to establish effective computation models for large scale complex data.
… , ordered GMDTs, set-valued GMDTs, and interval-valued GMDTs etc. need to be studied. …

… In Definition 3.1, a set-valued decision attribute is modeled as a function d : U → P ( V t ) .
While this mapping is formally well-defined for a concrete decision table, let us mention that, …

… matrices based on these relations for set-valued decision … homomorphisms, a large-scale
set-valued information system is … Table 8 A set-valued decision table obtained from foreign …

… In the future, we will use the proposed measures in feature selection for large-scale gene
data … applications of the obtained results in approximate reasoning and classification learning. …

… -set-based feature selection for large-scale dataset include: 1) … K distributed nodes to run
DFRS on a decision table (U, A ∪ D), the … [28] forced on the set-valued information systems and …

… to highlight the usefulness of set-valued prediction in case of … against some simple
baselines for set-valued prediction. In a last … approximate algorithms for set-valued prediction. …

… Therefore, we propose a new operator form to improve the approximation quality of
approximation sets on set-valued information systems, and then we will discuss the advantages and …

… points out several difficulties in large-scale data set … Data reduction or feature selection is
one of most important … model that uses more decision tables and approximates these tables to a …

… Neighborhood rough set based online streaming feature selection … feature selection for
multi-label learning via the neighborhoorough set model, in which feature significance, feature …