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IAeNG International Journal of Computer Science 2021年第4期48卷 884页

作者： Xie, Yi Kong, Yunfeng Xiang, Hongzhen Hou, Yan-e Han, Daojun Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions Henan University China Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng475000 China Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions Henan University Kaifeng475000 China College of Computer and Information Engineering Henan University Kaifeng475000 China

This paper presents a metaheuristic with online learning (MOL) to solve the multi-school heterogeneous-fleet school bus routing problem (MHSBRP). In the iterated local search (ILS) metaheuristic framework, an online learning mechanism is integrated with the neighborhood search heuristic. It evaluates the performance of search operators according to the historical search information, and then adjusts the selection probability of the operators in the following loops of search. The proposed algorithm is tested on a set of benchmark instances. The solution results show that MOL solves both mixed-load and single-load instances of MHSBRP effectively, and outperforms the ILS significantly. Compared with the algorithm without learning mechanism, MOL could improve the convergence of neighborhood search and the quality of solution. © 2021. IAeNG International Journal of Computer Science. All Rights Reserved.

关键词： Benchmarking

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16th Web Information Systems and Applications Conference, WISA 2019

作者： Ma, Youzhong Zhang, Ruiling Zhang, Yongxin School of Information and Technology Luoyang Normal University Luoyang471934 China Key Laboratory of E-commerce Big Data Processing and Analysis of Henan Province Luoyang471934 China

ISBN: (纸本)9783030309510

Top-k similarity join on high-dimensional data plays an important role in many applications. The traditional tree-like index based approaches can’t deal with large scale high-dimensional data efficiently because of "curse of dimensionality". So in this paper, we firstly propose an approach to construct the similarity distribution histogram using stratified sampling method, then to estimate the similarity threshold according to the number of the required returned results, finally we propose a novel Top-k similarity join algorithm based on similarity distribution histogram. We conduct comprehensive experiments and the experimental results show that our proposed approaches has good efficiency and scalability. © 2019, Springer Nature Switzerland AG.

关键词： Graphic methods

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Application of big data mining technology in intelligent safe production on cloud computing platform

Application of big data mining technology in intelligent saf...

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International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2018

作者： Xu, Hongsheng Fan, Ganglong Luoyang Normal University Luoyang471934 China Henan Key Laboratory for Big Data Processing and Analytics of Electronic Commerce Luoyang471934 China

ISBN: (纸本)9783319987750

Clustering and classification are two of the most important technology in data mining;they were respectively used to detect data and decision space to feature space dependent. The paper describe analysis of intelligent association rule extraction technology based on big data mining method firstly, then discusses application of cloud computing and Internet of things technology in intelligent security. The paper presents application of big data mining technology in intelligent safe production on cloud computing platform. The final experiment shows that the proposed method of big data mining is very effective. © Springer Nature Switzerland AG 2019.

关键词： data mining

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Research on topic crawler strategy based on web page extension and best priority search algorithm

Research on topic crawler strategy based on web page extensi...

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International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2018

作者： Xu, Hongsheng Lv, Yanqing Fan, Ganglong Luoyang Normal University Luoyang471934 China Henan Key Laboratory for Big Data Processing and Analytics of Electronic Commerce Luoyang471934 China

ISBN: (纸本)9783319987750

The topic crawler filters the topic independent links according to a certain web page analysis algorithm, keeps the topic related links and puts them into the URL queue to be fetched. Then, according to a certain search strategy, the next page URL is selected from the queue and repeated until a certain condition of the system is reached. The best priority search strategy predicts the similarity between candidate URL and target pages according to a certain web page analysis algorithm, and selects one or more URL which is the best evaluation to grab. The crawler algorithm based on Web page extension is to evaluate the web page or website with indirect relation through known web pages or data. The paper presents research on topic crawler strategy based on web page extension and best priority search algorithm. © Springer Nature Switzerland AG 2019.

关键词： Learning algorithms

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Optimizing Convolutional Neural Networks Architecture Using a Modified Particle Swarm Optimization for Image Classification

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SSRN 2022年

作者： elhani, Djenaihi Megherbi, Ahmed Chaouki Zitouni, Athmane Dornaika, Fadi Sbaa, Salim Taleb-Ahmed, Abdelmalik Laboratory of LESIA University of Biskra Algeria Department of Electrical Engineering University of Biskra BP 145 RP Biskra07000 Algeria Laboratory of LI3C University of Biskra Algeria Department of Electrical Engineering University of Biskra BP 145 RP Biskra07000 Algeria Henan University Henan Key Laboratory of Big Data Analysis and Processing Kaifeng China University of the Basque Country UPV/EHU Manuel Lardizabal 1 San Sebastian20018 Spain IKERBASQUE Basque Foundation for Science Bilboa Spain Univ. Polytechnique Hauts-de-France Univ. Lille CNRS Centrale Lille UMR CNRS 8520 ValenciennesF-59313 France

Although the Convolutional Neural Network (CNN) has been shown to be effective in solving image classification tasks, its architecture is often difficult to design (i.e., much tuning is required for optimization) due to the large number of hyperparameters that require careful human intervention to determine their optimal values. In this paper, we propose an approach to create the best CNN design and reduce human intervention during this process. The approach uses an optimization algorithm derived from the particle swarm without velocity (PSWV) equation to significantly reduce the number of iterations to determine the optimal CNN hyperparameters and architecture for a given dataset. A novel strategy for updating a particle swarm without velocity using particle swarm optimization (PSO) with CNNs was developed. In this approach, we adopted the variable-length coding strategy to represent the particles in the population. We proposed an algorithm for a suitable process that allows fast convergence to the best architecture. The proposed algorithm was studied and compared with several recent algorithms in the literature. experiments on eight benchmark datasets for classification tasks have demonstrated the efficiency and practicality of our approach in finding the best CNN architecture with less human intervention. © 2022, The Authors. All rights reserved.

关键词： Image classification

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Practice and Research of Co-construction between University with enterprise

Practice and Research of Co-construction between University ...

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作者： Ganglong Fan Shengli Jiang Hongsheng Xu Luoyang Normal University Henan key Laboratory of Big Data Processing & Analytics of Electronic Commerce

School-enterprise cooperation can focus on the practical skills of students on the basis of targeted cultivation of talent. This paper takes the cooperation between Luoyang normal University and Beijing Zhongqing Institute of Information Technology to establish the electronic commerce College as an example. This paper explores the mode and construction content of the cooperation between applied undergraduate colleges and private enterprises in the process of vocational education and e-commerce talents training, and consummates the training mode of e-commerce talents based on seniority structure. This cooperation between schools and enterprises play a role model for local colleges and universities.

关键词： School-enterprise cooperation Seniority structure Personnel training electronic commerce

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Personalized Recommendation Method of e-commerce Based on Fusion Technology of Smart Ontology and big data Mining

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IOP Conference Series: Materials Science and engineering 2020年第1期750卷

作者： Shengli Jiang Yi Zhang Hongsheng Xu Luoyang Normal University Luoyang China Henan key Laboratory for Big Data Processing & Analytics of Electronic Commerce Luoyang China

e-commerce personalized recommendation system needs to be able to respond to user page requests in real time and provide recommendation services for users according to different recommendation models chosen by users. In this paper, based on the fusion method of intelligent ontology and big data mining, the semantic access preference of the user is captured by the user interest acquisition algorithm of the semantic cluster, and the current session of the user is matched with the acquired user preference to obtain the recommendation set. The paper presents personalized recommendation method of e-commerce based on fusion technology of smart ontology and big data mining.

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Application of big data Computing Model Based on Semantic data analysis Technology

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IOP Conference Series: Materials Science and engineering 2020年第1期750卷

作者： Ganglong Fan Jian Shen Henan key Laboratory for Big Data Processing & Analytics of Electronic Commerce Luoyang Normal University Luoyang China Higher Education Admissions Office of HENAN Province Zhengzhou China

big data computing model refers to various high-level abstract models extracted and established from the diverse big data computing problems and requirements according to big data's different data characteristics and computational characteristics. In order to improve the data quality, a method of adding semantics to the data is proposed to help users identify big data's pattern. In this way, we can make use of the semantic value of the data, detect big data, and propose a big data computing model through the semantic analysis of the data. The paper presents research on big data computing model based on semantic data analysis technology.

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evaluation of e-commerce location and entry to China – implications on shipping and trade

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Journal of Shipping and Trade 2019年第1期4卷 1-25页

作者： Panova, Yulia Tan, Albert Hilmola, Olli-Pekka Puvindran, M. H. Hongsheng, Xu Li, Weidong Luoyang Normal University Luoyang China Malaysia Institute for Supply Chain Innovation Shah Alam Malaysia LUT University Kouvola Finland School of Economics & Management Beijing Jiaotong University Beijing China Henan Key Laboratory for Big Data Processing & Analytics of Electronic Commerce Luoyang China

e-commerce is experiencing strong global growth, and leading market is nowadays that of China, whether it is evaluated from the perspective of domestic market size or cross-border volumes. In this research work further understanding and knowledge is built from Chinese market using general choice algorithm (GCA) and two real-life case studies. The outcome of GCA model shows the list of the most preferable locations for e-commerce enterprise development. Findings of this study are also compared to two case studies of e-commerce entrance to Chinese market, where one of these two is operating in an omnichannel environment. Market entrance in these two was implemented through very simplified and centralized distribution structure, and using location of Shanghai. Actual operations are either outsourced or in-house produced. Cash on delivery (COD) is still the preferred payment method in e-commerce order fulfilment. One factor being rather important in case companies was distribution prices, where courier services all over the country play an important role. For logistics in general, and sea ports, research reveals that currently dominating areas of the Pearl and Yangtze River Delta face the challenge to some extent from other places of China as favourable locations for e-commerce and consumption are also at north and western parts.

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