Results 291 to 300 of about 10,917,671 (339)
Some of the next articles are maybe not open access.
Attribute reduction: A dimension incremental strategy
Knowledge-Based Systems, 2013Many real data sets in databases may vary dynamically. With the rapid development of data processing tools, databases increase quickly not only in rows (objects) but also in columns (attributes) nowadays. This phenomena occurs in several fields including image processing, gene sequencing and risk prediction in management.
Feng Wang 0038, Jiye Liang, Yuhua Qian
openaire +1 more source
Attribute Reduction Based on Continuous Attribute Domain
Advanced Materials Research, 2014Discrete data attributes reduction, there are many mature methods, but for continuous data attributes reduction, general algorithm is not very good, in real life, the continuous data feature extraction and discrete data is also important, based on the number of new brain waves as analysis object, and through the continuous eeg feature extraction ...
openaire +1 more source
Parallel reduction based on condition attributes
2011 IEEE International Conference on Granular Computing, 2011In this paper, we propose a parallel algorithm to obtain reducts. The algorithm firstly divides the decision system into a number of subsystems, then reduce conditional attributes in each subsystem, and merge some subsystems together. This process repeats until all subsystems are merged into one.
Dayong Deng, Dianxun Yan, Lin Chen
openaire +2 more sources
An algorithm for decision tree and attribute reduction
2012 International Conference on Machine Learning and Cybernetics, 2012A decision tree and an attribute reduct from the same crisp decision table are often obtained respectively with different algorithms. Developing an algorithm for both of them is theoretically important and practically useful. This paper proposes an algorithm generating both decision tree and attribute reduction from a crisp decision table.
Qun-Feng Zhang +2 more
openaire +1 more source
Fuzzy complementary entropy using hybrid-kernel function and its unsupervised attribute reduction
Knowledge-Based Systems, 2021Zhong Yuan +4 more
semanticscholar +1 more source
Reduction of Attributes in Ordinal Decision Systems
2006Rough set theory has proven to be a very useful tool in dealing with many decision situations where imprecise and inconsistent information are involved. Recently, there are attempts to extent the use of rough set theory to ordinal decision making in which decisions are made on ordering of objects through assigning them to ordinal categories.
John W. T. Lee +2 more
openaire +1 more source
Attribute Reduction for Effective Intrusion Detection
2004Computer intrusion detection is to do with identifying computer activities that may compromise the integrity, confidentiality or the availability of an IT system. Anomaly Intrusion Detection Systems (IDSs) aim at distinguishing an abnormal activity from an ordinary one.
Fernando Godínez +2 more
openaire +1 more source
Granular ball guided selector for attribute reduction
Knowledge-Based Systems, 2021Yan Chen +4 more
semanticscholar +1 more source
VPGB: A granular-ball based model for attribute reduction and classification with label noise
Information Sciences, 2022Xiaoli Peng +4 more
semanticscholar +1 more source
MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix
Applied intelligence (Boston), 2021Pandu Sowkuntla, P. S. Sai Prasad
semanticscholar +1 more source