Results 161 to 170 of about 1,316,446 (197)

SPARC: Spatial Association Rule-Based Classification

2001
Spatial classification is to classify spatial objects based on the spatial and nonspatial features of these objects in a database. The classification results, taken as the models for the data, can be used for better understanding of the relationships among the objects in the database and for prediction of characteristics and features of new objects ...
Jiawei Han, Anthony K. H. Tung, Jing He
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Classification Confidence Of Fuzzy Rule-Based Classifiers

ECMS 2011 Proceedings edited by: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho, 2011
In this paper we first introduce the concept of classification confidence in fuzzy rule-based classification. Classification confidence shows the strength of classification for an unseen pattern. Low classification confidence for an unseen pattern means that the classification of that pattern is not very clear compared to that with high classification ...
Tomoharu Nakashima, Ashish Ghosh
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Classification Trees and Rule-Based Models

2013
Classification trees fall within the family of tree-based models and, similar to regression trees (Chapter 8), consist of nested if-then statements. Classification trees and rules are basic partitioning models and are covered in Sections 14.1 and 14.2, respectively.
Max Kuhn, Kjell Johnson
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NRCS: Neutrosophic Rule-Based Classification System

2017
This article presents a Neutrosophic Rule-Based Classification System where neutrosophic logic (NL) is used to represent several forms of knowledge. The presented system generalizes the fuzzy rule-based classification by describing every logical variable with its truth, indeterminacy, and falsity degrees.
Sameh H. Basha, Areeg S. Abdalla, Aboul Ella Hassanien   +2 more
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Scalable Rule-Based Gene Expression Data Classification

2008 IEEE 24th International Conference on Data Engineering, 2008
Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (ii) Classification of query data using the mined rules. In the worst case, these methods require an exponential search over the subset space of the training data set's samples and/or ...
Mark A. Iwen, Willis Lang, Jignesh M. Patel   +2 more
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Retrieving classification rules based on indiscernibility relation

2010 International Conference on Computer and Communication Technologies in Agriculture Engineering, 2010
A novel algorithm to mine classification rules based on the importance of attribute value is supposed. This algorithm views the importance as the number of tuple pair that can be discernible by the attribute, and the rules obtained from the constructed decision tree is equivalent to those obtained from ID3, which can be proved by the idea of rule ...
null Baowei Song, null Baowei Zhang, null Chunxue Wei   +2 more
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A RULE-BASED SOFTWARE QUALITY CLASSIFICATION MODEL

International Journal of Reliability, Quality and Safety Engineering, 2008
A rule-based classification model is presented to identify high-risk software modules. It utilizes the power of rough set theory to reduce the number of attributes, and the equal frequency binning algorithm to partition the values of the attributes. As a result, a set of conjuncted Boolean predicates are formed.
TAGHI M. KHOSHGOFTAAR, LOFTON A. BULLARD, KEHAN GAO   +2 more
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Z-number-valued rule-based classification system

Applied Soft Computing, 2022
Yangxue Li, Enrique Herrera-Viedma, Ignacio Javier Pérez, Mónica Barragán-Guzmán, Juan Antonio Morente-Molinera   +4 more
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Arabic Text Mining Using Rule Based Classification

Journal of Information & Knowledge Management, 2012
A well-known classification problem in the domain of text mining is text classification, which concerns about mapping textual documents into one or more predefined category based on its content. Text classification arena recently attracted many researchers because of the massive amounts of online documents and text archives which hold essential ...
Fadi Thabtah, Omar Gharaibeh, Rashid Al-Zubaidy   +2 more
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Fuzzy classification rules based on similarity

2012
The paper deals with the aggregation of classification rules by means of fuzzy integrals, in particular with the fuzzy measures employed in that aggregation. It points out that the kinds of fuzzy measures commonly encountered in this context do not take into account the diversity of classification rules.
Holeňa, M. (Martin), Štefka, D.
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