Discovering Reduct Rules from N-Indiscernibility Objects in Rough Sets
In rough set theory, the reduct is defined as a minimal set of attributes that partitions the tuple space and is used to perform the classification to achieve the equivalent result as using the whole set of attributes in a decision table.
Sun, Junping
core +1 more source
A New Hybrid K-Mean-Quick Reduct Algorithm for Gene Selection
Feature selection is a process to select features which are more informative. It is one of the important steps in knowledge discovery. The problem is that all genes are not important in gene expression data. Some of the genes may be redundant, and others
T. Chandrasekhar +2 more
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Semigroup of k-bi-Ideals of a Semiring with Semilattice Additive Reduct
We associate a semigroup B(S) to every semiring S with semilattice additive reduct, namely the semigroup of all k-bi-ideals of S; and such semirings S have been characterized by this associated semigroup B(S). A semiring S is k-regular if and only if B(S)
Jana K., Bhuniya A. K.
core +1 more source
A competency addition procedure for constructing minimal, yet maximally informative tests for skill assessment. [PDF]
Anselmi P +3 more
europepmc +1 more source
Abstract A Parallel Reduct Algorithm Based On Extension Matrix
In this paper, on the basis of studying the limitations of the basic rough set model, we present a general rough set model, which is based on a family set of tolerance relations which is based on a family set of tolerance relations instead of equivalence
core
Correction: What we need, not what we're given: recommendations for action from young sex workers who use drugs. [PDF]
Schneider M +5 more
europepmc +1 more source
Correction: Reducing the harms of cannabis use in youth post-legalization: insights from Ontario youth, parents, and service providers. [PDF]
Kourgiantakis T +8 more
europepmc +1 more source
Correction: Unintentional benzodiazepine use and frequency of drug checking service utilization: a cross-sectional study. [PDF]
Airth L +7 more
europepmc +1 more source
Performance Analysis of Rough Reduct Algorithms in Mammogram
Microcalcification on x-ray mammogram is a significant mark for early detection of breast cancer. Texture analysis methods can be applied to detect clustered microcalcification in digitized mammograms.
M. Karnan, A. Pethalakshmi, K. Thangavel
core
Correction: Barriers and facilitators to initiating and adhering to harm reduction services among people who inject drugs in the United States: a systematic review. [PDF]
Nacht CL +7 more
europepmc +1 more source

