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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  
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

Halina Kwasnicka, Kajetan Switalski
2006 Annales UMCS Informatica  
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

Swati Dhopte, N. Z. Tarapore
2012 International Journal of Computer Applications  
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

Jose Maria Luna, Jose Raul Romero, Sebastian Ventura
2010 IEEE Congress on Evolutionary Computation  
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

Ci Chen, Shingo Mabu, Chuan Yue, Kaoru Shimada, Kotaro Hirasawa
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
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

Jose Maria Luna, Mykola Pechenizkiy, Sebastian Ventura
2015 Knowledge and Information Systems  
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

Youcef Gheraibia
2016 Journal of Computing and Information Technology  
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

Crist�bal Romero, Sebasti�n Ventura, Paul De Bra
2004 User modeling and user-adapted interaction  
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]

Alberto Cano, Amelia Zafra, Sebastián Ventura
2010 Lecture Notes in Computer Science  
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

Francisco Herrera
2008 Evolutionary Intelligence  
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  
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

K. Thulasiram, S. Ramakrishna
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
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]

Marina de la Cruz Echeandía, Alfonso Ortega de la Puente, Manuel Alfonseca
2005 Lecture Notes in Computer Science  
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]

Robert Cattral, Franz Oppacher, Dwight Deugo
1999 Lecture Notes in Computer Science  
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

Eda Çınaroğlu, Osman Unutulmaz
2018 Journal of Polytechnic  
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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