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An Algorithm for Association Rules Mining using Apriori based on Genetic Algorithm
2017
International Journal for Research in Applied Science and Engineering Technology
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The implementation of the proposed algorithm is easier than other popular algorithm for association rule mining. ...
The implementation of the proposed algorithm is easier than other popular algorithm for association rule mining. ...
In this association rule mining system [17] , selection, mutation, and crossover are all parameter-free in evolution process. ...
doi:10.22214/ijraset.2017.3240
fatcat:v5rhlutf4rfe5geie5jo3xniqq
Discovery of association rules from medical data -classical and evolutionary approaches
2006
Annales UMCS Informatica
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The elaborated method (EGAR) uses a genetic algorithm as a tool of knowledge discovering from a set of data, in the form of association rules. ...
The paper presents a method of association rules discovering from medical data using the evolutionary approach. ...
A genetic algorithm applied in the paper is based on experience of the authors of GAR system (Genetic Association Rules), which gives interesting results for continuous data [3] . ...
dblp:journals/umcs/KwasnickaS06
fatcat:zdpbf5vw6vfrlnz22zxavhcylm
Design of Intrusion Detection System using Fuzzy Class-Association Rule Mining based on Genetic Algorithm
2012
International Journal of Computer Applications
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The proposed system includes fuzzy logic with a data mining method which is a class-association rule mining method based on genetic algorithm. ...
Genetic algorithm is used to extract many rules which are required for anomaly detection systems. ...
In order to discover interesting rules from a dense database, genetic algorithm (GA) and genetic programming (GP) have been applied to association-rule mining. ...
doi:10.5120/8489-2436
fatcat:x3ce5cu2jngrrbesdpi3hyggh4
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules
2010
IEEE Congress on Evolutionary Computation
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This paper presents the G3PARM algorithm for mining representative association rules. ...
G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and an auxiliary population made up of its best individuals who will then act as parents for the next generation. ...
., can be thought of as different criterion of an association rule mining problem. This paper presents an evolutionary algorithm using G3P for mining association rules. ...
doi:10.1109/cec.2010.5586504
dblp:conf/cec/LunaRV10
fatcat:kw5ovwauzzhgfjdwvl67cu7ne4
Network intrusion detection using fuzzy class association rule mining based on genetic network programming
2009
2009 IEEE International Conference on Systems, Man and Cybernetics
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This paper presents a novel fuzzy class association rule mining method based on Genetic Network Programming(GNP) for detecting network intrusions. ...
GNP is an evolutionary optimization techniques, which uses directed graph structures as genes instead of strings(Genetic Algorithm) or trees(Genetic Programming), leading to creating compact programs and ...
In this section, the outline of Genetic Network Programming(GNP) and class association rule mining based on GNP is briefly reviewed. A. ...
doi:10.1109/icsmc.2009.5346328
dblp:conf/smc/ChenMYSH09
fatcat:thtxsvvj7zbu7atdnkb6f5osgq
Mining exceptional relationships with grammar-guided genetic programming
2015
Knowledge and Information Systems
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In this paper we formulate the problem of mining exceptional relationships as a special case of exceptional model mining, and propose a grammar guided genetic programming algorithm (MERG3P) that enables ...
For this purpose, we constructed a dataset comprising a wide range of values for each considered association rule quality measure, such that possible exceptional relations between measures could be discovered ...
[12] , who proposed a grammar guided genetic programming (G3P) algorithm to solve all the aforementioned problems. ...
doi:10.1007/s10115-015-0859-y
fatcat:6xgavaixnvdflpds4o6k6unmgy
Penguins Search Optimisation Algorithm for Association Rules Mining
2016
Journal of Computing and Information Technology
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Association Rules Mining (ARM) is one of the most popular and well-known approaches for the decisionmaking process. ...
All classic exhaustive ARM algorithms are time consuming and generate a very large number of association rules, even the recent proposed meta-heuristics based methods generate a small number of high quality ...
G3APRM [11] is a new method for association rule mining with the use of genetic programming based on the Grammar Guided Genetic Programming to avoid invalid individuals found by genetic programming process ...
doi:10.20532/cit.2016.1002745
fatcat:7l5icn7pmzhn5hjap56yjdogui
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors
2004
User modeling and user-adapted interaction
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This methodology uses evolutionary algorithms as a data mining method for discovering interesting relationships in students' usage data. ...
We use Grammar-Based Genetic Programming (GBGP) with multi-objective optimization techniques to discover prediction rules. ...
They would also like to thank the anonymous reviewers and the editor for their professional and careful reading of the paper and for their may valuable detailed comments. ...
doi:10.1007/s11257-004-7961-2
fatcat:7vkoigprybb3pmi7dyk57qjfdi
Solving Classification Problems Using Genetic Programming Algorithms on GPUs
[chapter]
2010
Lecture Notes in Computer Science
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JCLEC-Classification is a usable and extensible open source library for genetic programming classification algorithms. ...
It houses implementations of rule-based methods for classification based on genetic programming, supporting multiple model representations and providing to users the tools to implement any classifier easily ...
However, it is difficult to find a library that contains GP (genetic programming) algorithms, an important evolutionary computation paradigm. ...
doi:10.1007/978-3-642-13803-4_3
fatcat:txmpobt465g3jp2h3ou7tevtjy
Genetic fuzzy systems: taxonomy, current research trends and prospects
2008
Evolutionary Intelligence
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The use of genetic algorithms for designing fuzzy systems provides them with the learning and adaptation capabilities and is called genetic fuzzy systems (GFSs). ...
This paper gives an overview of the field of GFSs, being organized in the following four parts: (a) a taxonomy proposal focused on the fuzzy system components involved in the genetic learning process; ...
together with contributions that stress new branches such as genetic rule selection, multiobjective genetic algorithms for rule selection, the use of genetic programming for learning fuzzy systems, hierarchical ...
doi:10.1007/s12065-007-0001-5
fatcat:m6rflzvbzverren3icl4oz4n6a
"Analyzing the Effect with Integrated Technique for Feature Selection and Software Defect Prediction"
2019
International journal of recent technology and engineering
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The third category utilizes association rule mining approaches, for instance, relative affiliation rule [7], and also the cba2 algorithmic rule, to mine the affiliation between the errors of programming ...
Existing sdp studies may be divided into four types: (1) classification, (2) regression, (3) mining association rules, (4) ranking. ...
The third category utilizes association rule mining approaches, as an example, relative affiliation rule [7] , and also the CBA2 algorithmic rule, to mine the association between the errors of programming ...
doi:10.35940/ijrte.b1625.078219
fatcat:uk4zb3iqsre5toghx3iim3bkla
An Automated Testing Approach in Data Mining System using Genetic Algorithm Framework
2017
International Journal of Advanced Research in Computer Science and Software Engineering
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This paper presents a method for optimizing software testing efficiency by identifying the most critical path clusters in a program. ...
The factors discovered are used in evaluating the fitness function of Genetic algorithm for selecting the best possible Test method. ...
Association rules mining based on a novel Genetic Algorithm Encoding This paper employs natural numbers to encode the variable A ij . ...
doi:10.23956/ijarcsse/v7i1/0159
fatcat:5rx3sk7msng25p3fu4tip5knau
Attribute Grammar Evolution
[chapter]
2005
Lecture Notes in Computer Science
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This paper describes Attribute Grammar Evolution (AGE), a new Automatic Evolutionary Programming algorithm that extends standard Grammar Evolution (GE) by replacing context-free grammars by attribute grammars ...
The paper shows empirically that AGE is as good as GE for a classical problem, and proves that including semantics in the grammar can improve GE performance. ...
of the target programming language, which includes a standard representation of genotypes as strings of integers (codons), and a context free grammar, as inputs for the deterministic mapping of a genotype ...
doi:10.1007/11499305_19
fatcat:iadeozxvi5fw3do2x43phn7rqe
Using Genetic Algorithms to Evolve a Rule Hierarchy
[chapter]
1999
Lecture Notes in Computer Science
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This paper describes the implementation and the functioning of RAGA (Rule Acquisition with a Genetic Algorithm), a genetic-algorithm-based data mining system suitable for both supervised and certain types ...
The genetic engine is modified through the addition of several methods tuned specifically for the task of association rule discovery. ...
In the space of evolutionary approaches, RAGA seems to lie 'half way' between Genetic Algorithms and Genetic Programming: like GP, it uses a variable-length, albeit restricted, representation with a non-binary ...
doi:10.1007/978-3-540-48247-5_32
fatcat:7zrywn2idvgv5pwhih2irn5cjy
A Data Mining Application of Local Weather Forecast for Kayseri Erkilet Airport
2018
Journal of Polytechnic
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As a result, reliable rules were identified that include estimation of fog, rain, snow, hail and thunderstorm events for Kayseri Erkilet Airport and these rules were analyzed in terms of their accuracy ...
., ABSTRACT Data mining is a process used for the discovery of data correlation; the technique includes successful applications in the mass data field. Aeronautic meteorology is one of them. ...
WEKA is a free software which is written in JAVA programming language. It was developed by Waikato University in New Zealand. It includes different algorithms for data mining and machine learning. ...
doi:10.2339/politeknik.391801
fatcat:dl7smz45hrckzcfql6q2sdnahq
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