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An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning

Heng Wang, Zhenzhen Zhao, Zhiwei Guo, Zhenfeng Wang, Guangyin Xu
2017 Complexity  
In the proposed algorithm, adaptive genetic algorithm is employed to select optimal initial clustering centers.  ...  Then, to overcome the shortcoming of the traditional clustering algorithm, an improved fuzzy c-means (FCM) algorithm based on adaptive genetic algorithm and semisupervised learning is proposed.  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2017/8130961 fatcat:zzos4q3u3va4fhxhfwgichszwa

GANNET: A Machine Learning Approach to Document Retrieval

Hsinchun Chen, Jinwoo Kim
1994 Journal of Management Information Systems  
The GAs manipulate input documents and their associated key words to generate an initial set of optimized key words—a process called concept optimization.  ...  With the optimized output (key words) generated by GAs and the association of key words captured by the network, the Hopfield parallel relaxation algorithm activates neighboring terms, combines weighted  ... 
doi:10.1080/07421222.1994.11518048 fatcat:cjqkqr6d4rggpem7ckgxzwzw44

An Optimized Association Rule mining using Genetic Algorithm

Dimple S.Kanani, Shailendra K. Mishra
2015 International Journal of Computer Applications  
Genetic Algorithm is a search heuristic which is used to generate useful solution for optimization and search problems.  ...  The Proposed Approach is to generate rules based on Quantitative dataset, using the concept of threshold -frequent item sets are define as initial population which the first step of Genetic algorithm.  ...  Iyakutti [9] a novel genetic algorithm based association rule mining algorithm is discussed in this paper. Prioritization of the rules has been discussed with the help of genetic algorithm.  ... 
doi:10.5120/21134-4063 fatcat:sl24tjbujzfltn6uub5f7vvg7q

Enhancing Learning Paths with Concept Clustering and Rule-Based Optimization

S.T. Fung, Vincent Tam, Edmund Y. Lam
2011 2011 IEEE 11th International Conference on Advanced Learning Technologies  
In this paper, we propose to obtain more thorough correlation information through concept clustering, which will then be passed to our rule-based genetic algorithm to search for better learning path(s)  ...  To demonstrate the feasibility of our proposal, a prototype of our ontology analyser enhanced with concept clustering and rule-based optimizer was implemented.  ...  The details of the rule extraction process will be discussed later. 7) Learning path optimization: the genetic algorithm is used to optimize the learning path/sequence of relevant course modules.  ... 
doi:10.1109/icalt.2011.78 dblp:conf/icalt/FungTL11 fatcat:y5etnnzt2vbvjkfsh55fbx7swu

Evaluation Model of Product Shape Design Scheme Based on Fuzzy Genetic Algorithm Mining Spatial Association Rules

Jie Wu, Gengxin Sun
2022 Mathematical Problems in Engineering  
Put forward a kind of association rules mining method based on fuzzy genetic algorithm, this approach by building a mining model, the association rules and fuzzy genetic algorithm fuses in together, and  ...  model, together to achieve the fuzzy genetic algorithm (GA) variant design of fine-grained axiomatic mode, based on the associated network building and integration of new product design process, product  ...  Acknowledgments is work was supported by School of Anyang Institute of Technology.  ... 
doi:10.1155/2022/2888472 fatcat:6wyocvgtenhtvpbtkkvrnet2ia

Metaheuristic for Word Sense Disambiguation: a Review

Wafaa AL-Saiagh, Sabrina Tiun, Ahmed AL-Saffar, Suryanti Awang, A. S. Al-khaleefa
2018 International Journal of Engineering & Technology  
Word Sense Disambiguation (WSD) is the process of determining the exact sense of a particular word in accordance to the context in a computational manner.  ...  In this vein, determining the exact meaning of the certain word would facilitate the process of identifying the category of such text, accurate corresponding search results and providing an accurately  ...  Because of the high dimensionality of the search space, a genetic algorithm is used to find a near-optimal combination of sense choices.  ... 
doi:10.14419/ijet.v7i3.20.20586 fatcat:ormyo4yjonehjmg4tg5aeyzyba

Opinion Analysis Model for Classification of Opinions for M Learning

A.Nisha Jebaseeli
2015 Communications on Applied Electronics  
An improvement of classification accuracy is noticed when the data is preprocessed by KN preprocessing algorithm.  ...  Some processes were posed, described, discussed and compared with existing classification algorithms.  ...  As to outwit the performance of the neural network based algorithms, genetic optimization is regarded in mining the opinions [15] .  ... 
doi:10.5120/19411-1066 fatcat:2su3bsw2qncwlevfblllxrdtde

Toward a Complete E-learning System Framework for Semantic Analysis, Concept Clustering and Learning Path Optimization

Vincent Tam, Edmund Y. Lam, S.T. Fung
2012 2012 IEEE 12th International Conference on Advanced Learning Technologies  
concept clustering algorithm to group relevant concepts before finding their relationship measures.  ...  can be ultimately used to find an optimal learning sequence of involved concepts or modules for each individual learner after considering his/her past performance, learner's profile, learning style, etc  ...  The refined concept correlation information through the concept clustering algorithm will then be passed to the rule-based genetic algorithm to optimise for better learning path(s).  ... 
doi:10.1109/icalt.2012.66 dblp:conf/icalt/TamLF12 fatcat:tlj574sbazcfpjzprvbi2mpoxm

Application of Multidirectional Mutation Genetic Algorithm and Its Optimization Neural Network in Intelligent Optimization of English Teaching Courses

Zi Yang, Suneet Kumar Gupta
2021 Computational Intelligence and Neuroscience  
A BP neural network optimization algorithm based on multidirectional mutation genetic algorithm (MMGA-BP) is presented.  ...  Firstly, this paper gives the framework of intelligent English course optimization system based on multidirectional mutation genetic BP neural network and analyses the local optimization problems existing  ...  Acknowledgments e work in this article was supported by Nanjing University of Posts and Telecommunications.  ... 
doi:10.1155/2021/4297600 pmid:34925487 pmcid:PMC8683223 fatcat:pjqfazuydjdxhmd2dexacrzdli

Mining personalized medicine algorithms with surrogate algorithm tags

Chih-Lin Chi, Peter J. Kos, Vincent A. Fusaro, Rimma Pivovarov, Prasad Patil, Peter J. Tonellato
2010 Proceedings of the ACM international conference on Health informatics - IHI '10  
We use a text mining approach to generate 'Surrogate Algorithm Tags' (SRATs), i.e., keyword combinations highly associated with articles containing the algorithms of interest.  ...  improve precision or recall of the search, and then apply cut-off thresholds to terminate the optimization process and obtain optimal SRATs.  ...  The combinations of keywords are currently decided based on the domain knowledge.  ... 
doi:10.1145/1882992.1883066 dblp:conf/ihi/ChiKFPPT10 fatcat:4nhdjzrxpbf4hax7yhabdbxbwu

The hybrid model of neural networks and genetic algorithms for the design of controls for internet-based systems for business-to-consumer electronic commerce

Sangjae Lee, Hyunchul Ahn
2011 Expert systems with applications  
This study intends to propose ISB2C-NNGA (ISB2C-controls design using neural networks and genetic algorithms), a hybrid optimization model using neural networks and genetic algorithms for the design of  ...  The effect of each mode of controls on implementation (volume) can be identified using exponents and standardized coefficients in the GA-based nonlinear regression analysis in ISB2C-NNGA.  ...  The approach provides a back-propagation neural networks and genetic algorithm (GA) based approach, i.e., ISB2C-NNGA (ISB2C controls design using neural networks and genetic algorithms), a hybrid optimization  ... 
doi:10.1016/j.eswa.2010.09.102 fatcat:7qweqphvpzdrrncb3btdif4xti

Sentiment Analysis Using Naive Bayes Algorithm with Feature Selection Particle Swarm Optimization (PSO) and Genetic Algorithm

Abi Rafdi, Herman Mawengkang Herman, Syahril Efendi
2021 International Journal of Advances in Data and Information Systems  
That way, in this test, a comparison of feature selection is carried out using Particle Swarm Optimization and Genetic Algorithm to improve the accuracy performance of the Naive Bayes algorithm.  ...  The results showed the highest increase for Naïve Bayes algorithm accuracy when using the feature selection of the Particle Swarm Optimization Algorithm from 60.26% to 77.50%, while the genetic algorithm  ...  ., A Hybrid Framework for Sentiment Analysis Using Genetic Algorithm-Based Feature Reduction.  ... 
doi:10.25008/ijadis.v2i2.1224 fatcat:3dy7ish45zbzxamrmdt4jrfzs4

An Effective and Efficient Genetic-Fuzzy Algorithm for Supporting Advanced Human-Machine Interfaces in Big Data Settings

Alfredo Cuzzocrea, Enzo Mumolo, Giorgio Mario Grasso
2019 Algorithms  
genetic optimization of the membership degrees.  ...  The algorithm introduces several points of innovation, based on complex metrics of similarity that involve different characteristics of the entire learning process.  ...  Our algorithm is based on a genetic optimization algorithm and a set of fuzzy rules to determine the degrees of membership of the places of articulation.  ... 
doi:10.3390/a13010013 fatcat:orxv4gkxsngdpi6wssuum5ypce

Coevolutionary Characteristics of Knowledge Diffusion and Knowledge Network Structures: A GA-ABM Model

Junhyok Jang, Xiaofeng Ju, Unsok Ryu, Hyonchol Om
2019 Journal of Artificial Societies and Social Simulation  
In order to study the co-evolutionary dynamics of knowledge di usion and network structure, we developed a genetic algorithm-agent based model (GA-ABM) by combining a genetic algorithm (GA) and an agent-based  ...  They additionally exploited four well-known network topology algorithms based on probabilistic methods to analyze their e ects on knowledge di usion and verify the model's validity through policy experiments  ...  Notes A brief explanation of the relationship between genetic algorithm and network.  ... 
doi:10.18564/jasss.4037 fatcat:f7g7tpxln5c3hpvaq3iz74vrcu

The English Vocabulary using Ubiquitous Learning System

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Based on the support platform of mobile education systems, many learning activities can be completed.  ...  this paper, so as to provide a universal learning platform for the study of English words.  ...  Genetic algorithms have been widely used in global optimization search algorithms in recent years.  ... 
doi:10.35940/ijitee.l3424.1081219 fatcat:4buvxxch3bhk5glc3tf4uwhfra
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