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IEEE International Conference on data mining (ICDM)

作者： Xindong Wu Jia Wu Xiaoyi Fu Jiachen Li Peng Zhou Xu Jiang Mininglamp Academy of Sciences Mininglamp Technology Beijing China Key Laboratory of Knowledge Engineering with Big Data (Hefei Univ. of Technology) Ministry of Education Hefei China Department of Computing Macquarie University Sydney Australia School of Computer Science and Technology Anhui University Hefei China

Automatic knowledge graph construction seeks to build a knowledge graph from unstructured text in a specific domain or cross multiple domains, without human intervention. IEEE ICDM 2019 and ICBK 2019 invited teams from both degree-granting institutions and industrial labs to compete in the 2019 knowledge Graph Contest by automatically constructing knowledge graphs in at least two different domains. This article reports the outcomes of the Contest. The participants were expected to build a model to extract knowledge represented as triplets from text data and develop a web application to visualize the triplets. Awards were given to five teams. Their models and key techniques used to construct knowledge graphs are summarized.

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RETRACTED ARTICLE: An enhanced pairing-based authentication scheme for smart grid communications

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Journal of Ambient Intelligence and Humanized Computing 2021年第1期15卷 165-165页

作者： Wu, Tsu-Yang Lee, Yu-Qi Chen, Chien-Ming Tian, Yuan Al-Nabhan, Najla Abdulrahman College of Computer Science and Engineering Shandong University of Science and Technology Qingdao China School of Information Science and Engineering Fujian University of Technology Fuzhou China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China School of Computer Engineering Nanjing Institute of Technology Nanjing China Computer Science Department College of Computer and Information Sciences King Saud University Riyadh Kingdom of Saudi Arabia

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Biggy: An implementation of unified framework for big data management system

arXiv

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arXiv 2018年

作者： Wu, Yao Guan, Henan Key Laboratory of Data Engineering Knowledge Engineering of Ministry of Education Beijing China School of Information Renmin University of China Beijing China

Various tools, softwares and systems are proposed and implemented to tackle the challenges in big data on different emphases, e.g., data analysis, data transaction, data query, data storage, data visualization, data privacy. In this paper, we propose datar, a new prospective and unified framework for Big data Management System (BDMS) from the point of system architecture by leveraging ideas from mainstream computer structure. We introduce five key components of datar by reviewing the current status of BDMS. datar features with configuration chain of pluggable engines, automatic dataflow on job pipelines, intelligent self-driving system management and interactive user interfaces. Moreover, we present biggy as an implementation of datar with manipulation details demonstrated by four running examples. Evaluations on efficiency and scalability are carried out to show the performance. Our work argues that the envisioned datar is a feasible solution to the unified framework of BDMS, which can manage big data pluggablly, automatically and intelligently with specific functionalities, where specific functionalities refer to input, storage, computation, control and output of big data. Copyright © 2018, The Authors. All rights reserved.

关键词： Big data

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A novel hybrid GWO-FPA algorithm for optimization applications 1st

A novel hybrid GWO-FPA algorithm for optimization applicatio...

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1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2017

作者： Pan, Jeng-Shyang Dao, Thi-Kien Chu, Shu-Chuan Nguyen, Trong-The Fujian Provincial Key Laboratory of Big Data Mining and Applications College of Information Science and Engineering Fujian University of Technology Fuzhou China School of Computer Science Engineering and Mathematics Flinders University Adelaide Australia Department of Information Technology Haiphong Private University Haiphong Viet Nam

ISBN: (纸本)9783319707297

The recent trend of research is to hybridize two or several numbers of variants to find out the better quality of solution in practical optimization applications. In this paper, a new approach hybrid Grey Wolf Optimizer (GWO)-Flower Pollination Algorithm (FPA) is proposed based on the combination of exploitation phase in GWO and exploration stage in FPA. The hybrid proposed GWOFPA improves movement directions and speed of the grey wolves in updating positions of FPA. The simulation uses six benchmark tests for evaluating the performance of the proposed method. Compared other metaheuristics such as Particle Swarm Optimization (PSO), FPA, and GWO, the simulation results demonstrate that the proposed approach offers the better performance in solving optimization problems with or without unknown search areas. © Springer International Publishing AG 2018.

关键词： Particle swarm optimization (PSO)

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An overview on visualization of ontology alignment and ontology entity 5th

An overview on visualization of ontology alignment and ontol...

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5th Euro-China Conference on Intelligent data Analysis and Applications, ECC 2018

作者： Chen, Jie Xue, Xingsi Huang, Lili Ren, Aihong College of Information Science and Engineering Fujian University of Technology FuzhouFujian350118 China Intelligent Information Processing Research Center Fujian University of Technology FuzhouFujian350118 China Fujian Provincial Key Laboratory of Big Data Mining and Applications FuzhouFujian350118 China Fujian Key Lab for Automotive Electronics and Electric Drive Fujian University of Technology FuzhouFujian350118 China College of Humanities and Law Fujian Agriculture and Forestry University FuzhouFujian350002 China School of Mathematics and Information Science Baoji University of Arts and Sciences BaojiShaanxi721013 China

ISBN: (纸本)9783030037659

Visualization of ontology alignment and ontology entity is becoming a method to help Solve the problem of semantic heterogeneity. This paper first introduces the basic concepts of ontology and ontology matching, and then illustrates the importance of ontology visualization technique. The existing partial visualization tools are discussed respectively in two aspects of visualization of ontology alignment and visualization entity on ontology. Finally, four researching directions on ontology visualization technique are pointed out for the future work. © Springer Nature Switzerland AG 2019.

关键词： Ontology

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Interactive Ontology Matching Based on Evolutionary Algorithm

Interactive Ontology Matching Based on Evolutionary Algorith...

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International Conference on Computational Intelligence and Security

作者： Xingsi Xue Junfeng Chen Aihong Ren College of Information Science and Engineering Intelligent Information Processing Research Center Fujian Key Lab for Automotive Electronics and Electric Drive Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fuzhou China College of IOT Engineering Hohai University ChanZhou China School of Mathematics and Information Science Baoji University of Arts and Sciences Baoji China

ISBN: (数字)9781728160924

ISBN: (纸本)9781728160931

Since different ontologies are mostly developed independently, establishing meaningful links between their entities, so-called ontology matching, is critical to ensure their communication. Due to the complexity of the ontology matching problem, Evolutionary Algorithm (EA) can present a good methodology for determining ontology alignments. However, since none of the similarity measure can distinguish all the identical ontology entities in any context, ontology alignments generated by the automatic matching tools should be validated by the users to ensure their qualities. To improve the quality of the ontology alignment, in this work, a similarity measure is first proposed to calculate the similarity value of two ontology entities; then, an optimal model for ontology matching problem is constructed; after that, an EA-based automatic matcher is presented to solve the ontology matching problem, which can also adaptively determine the timing of getting user involved; and finally, the ontology concept hierarchy graph based reasoning approaches are proposed to tradeoff the user's workload and his work's effect. The experiment is conducted on the Interactive track provided by the Ontology Alignment Evaluation Initiative (OAEI), and the comparisons with OAEI's participants show the effectiveness of our proposal.

关键词： Ontologies Graph theory Pattern matching Evolutionary computation

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Optimal Design of SWIPT-Aware Fog Computing Networks

Optimal Design of SWIPT-Aware Fog Computing Networks

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IEEE Conference on Computer Communications Workshops, INFOCOM Wksps

作者： Jingxian Liu Ke Xiong Pingyi Fan Zhangdui Zhong Khaled Ben Letaief Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China Department of Electronic Engineering Tsinghua University Beijing China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing Jiaotong University Beijing China The Hong Kong University of Science and Technology Hong Kong

This paper studies a simultaneous wireless information and power transfer (SWIPT)-aware fog computing network, where a multiple antenna fog function integrated hybrid access point (F-HAP) transfers information and energy to multiple heterogeneous single-antenna sensors and also helps some of them fulfill computing tasks. By jointly optimizing energy and information beamforming designs at the F-HAP, the bandwidth allocation and the computation offloading distribution, an optimization problem is formulated to minimize the required energy under communication and computation requirements, as well as energy harvesting constraints. Two optimal designs, i.e., fixed offloading time (FOT) and optimized offloading time (OOT) designs, are proposed. As both designs get involved in solving non-convex problems, there are no known solutions to them. Therefore, for the FOT design, the semidefinite relaxation (SDR) is adopted to solve it. It is theoretically proved that the rank-one constraints are always satisfied, so the global optimal solution is guaranteed. For the OOT design, since its non-convexity is hard to deal with, a penalty dual decomposition (PDD)-based algorithm is proposed, which is able to achieve a suboptimal solution. The computational complexity for two designs are analyzed. Numerical results show that the partial offloading mode is superior to binary benchmark modes. It is also shown that if the system is with strong enough computing capability, the OOT design is suggested to achieve lower required energy; Otherwise, the FOT design is preferred to achieve a relatively low computation complexity.

关键词： Edge computing Task analysis Array signal processing Wireless communication Channel allocation Computational complexity Economics

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An Efficient Slap Fingerprint Segmentation Algorithm Based on Convnets and Knuckle Line 12th

An Efficient Slap Fingerprint Segmentation Algorithm Based o...

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12th Chinese Conference on Biometric Recognition, CCBR 2017

作者： Tang, Siqi Qin, Jin Liu, Yan Han, Congying Guo, Tiande Beijing China Key Laboratory of Big Data Mining and Knowledge Management School of Mathematical Science UCAS Beijing China

ISBN: (纸本)9783319699226

We propose a novel and efficient technique to extract individual fingerprints from a slap-image and identify them into their corresponding indices i.e. index, middle, ring or little finger of left/right hand. We pose the orientation of the hand to a classification problem, and present an approach based on Convolutional Neural Networks (ConvNets) to address the angle of the hand. Geometrical and spatial properties of hand are applied to split a single finger and detect the knuckle line. The proposed algorithm solves the challenges of segmentation like the large rotational angles of the hand and non-elliptical shape of components. Extensive experimental evaluations demonstrate the success of this approach. © 2017, Springer International Publishing AG.

关键词： Convolution

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A Rational Study on Developing College Students' Entrepreneurship Education in China

A Rational Study on Developing College Students' Entrepreneu...

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2018 2nd International Conference on Advanced Education and Management Science(AEMS 2018)

作者： Xiao-jing WU Chia-Hung WANG College of Information Science and Engineering Fujian University of Technology Fujian Provincial Key Laboratory of Big Data Mining and Applications

In the past decades, with the increase of universities enrollment in China, how to relieve the pressure of the employment of college graduates has become a hot issue for the whole *** then, entrepreneurship education has been adopted and popularized by more and more colleges and ***, there is not a very unified understanding of the definition and the way in which entrepreneurship education is carried *** on the current employment situation and the development of entrepreneurship education in colleges and universities in China, this paper proposes some rational thinking on the development of university students' entrepreneurship education in China and reiterates the connotation and implementation of entrepreneurship education.

关键词： Entrepreneurship education Innovative entrepreneurship training program KAB project Mass entrepreneurship and innovation

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A Queueing Analysis of a Security-Check System with Two Types of Inspection Channels

A Queueing Analysis of a Security-Check System with Two Type...

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2018 International Conference on Mathematics, Modelling, Simulation and Algorithms（MMSA2018）

作者： Chia-Hung Wang College of Information Science and Engineering Fujian University of Technology Fujian Provincial Key Laboratory of Big Data Mining and Applications

ISBN: (纸本)9781510863064

This paper studies a security-check system at the high-speed railway stations with two types of inspection channels, including Normal channels and Green channels. Here, general passengers go through the strict inspections in the Normal channels with unlimited waiting space, whereas special passengers are offered a fast inspection in the Green channels with a finite capacity. To investigate the stationary behavior of the studied security-check system, a queueing model is developed through deriving the two-dimensional quasi-birth-and-death(QBD) process. In addition, a matrix-geometric solution is presented in the paper to determine the steady-state probability and evaluate the system performance of interest, such as the average queue length and average waiting time. A sensitivity analysis is also conducted in the numerical experiments to demonstrate the managerial impact of varying the finite capacity in Green channels on the overall system performance.

关键词： ecurity check queueing system green channels finite capacity matrix geometric method

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