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Applying functional dependencies to improve the performance and robustness of hidden naive bayes

Journal of computational Information Systems 2013年第19期9卷 7967-7974页

作者： Qin, Shidong Wang, Limin Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

Hidden Naive Bayes (HNB) has demonstrated remarkable progress in classification accuracy, accurate class probability estimation and ranking. Since HNB is based on one-dependence estimators to get the approximate value of conditional probability, in this paper we try to get more accurate approximations of Bayesian classifier by applying the data dependence theory of relational database. Originally HNB uses a hidden parent of an attribute to represent the influences of all other attributes, while the influence is directed in the Bayesian network. In this paper, we proposed to use the chain rule to estimate the influence among attributes. Compared to HNB, experimental results show that our algorithm has both advantages in classification accuracy and ranking performance which is measured by the area under the ROC curve (AUC). © 2013 Binary Information Press.

关键词： Bayesian networks

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An approach of VM image customized through Linux from scratch on cloud platform

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Computer Modelling and New Technologies 2014年第4期18卷 62-67页

作者： Xu, Gaochao Dong, Yushuang Sun, Bingyi Fu, Xiaodong Zhao, Jia Department of Computer Science and Technology JiLin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

The cloud platform provides abundant resources and services for users. More and more mobile users began to use the cloud services. They have higher real-time demands on service. The size of traditional virtual machine (VM) operating system is basically large. It will take many resources in deployment and communication process, and always affect the real-time performance of system. To reduce communication overhead and improve deployment speed of VMs, this paper proposes an approach of customized VM image with LFS. LFS can reduce the size of VM image efficiently and enable flexible customization of the VM image by incremental customization. The experimental results show us that the size of VM image generated by the proposed method is smaller than the one generated by kernel tailoring technology in system overhead. Meanwhile it is also faster in running speed.

关键词： Virtual machine

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A Modified Particle Swarm Optimization Algorithm for Reliability Redundancy Optimization Problem

A Modified Particle Swarm Optimization Algorithm for Reliabi...

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The 6th International Conference on Computer Research and Development

作者： Yubao Liu Guihe Qin College of Computer Science and Technology Jilin University College of Computer Science and Technology Changchun University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University

In this paper, a modified particle swarm optimization(MPSO) algorithm is proposed to solve the reliability redundancy optimization problem. This algorithm modifies the strategy of generating new position of particles. For each generation solution, the flight velocity of particles is removed. Whereas the new position of each particle is generated by using difference strategy. Moreover, an adaptive parameter is used to ensure diversity of feasible solutions. Experimental results on four benchmark problems demonstrate that the proposed MPSO has better robustness, effectiveness and efficiency than other algorithms reported in literatures for solving the reliability redundancy optimization problem.

关键词： nonlinear programming PSO reliability optimization redundancy allocation adaptive mechanism

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Essential protein identification based on essential protein-protein interaction prediction by integrated edge weights

Essential protein identification based on essential protein-...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yuexu Jiang Yan Wang Wei Pang Liang Chen Huiyan Sun Yanchun Liang Enrico Blanzieri Key Laboratory of Symbolic Computation and Knowledge Jilin University Changchun China Department of Information Engineering and Computer Science University of Trento Povo Italy School of Natural and Computing Sciences University of Aberdeen Aberdeen UK

Essential proteins are crucial to cellular survival and development. Traditionally, essential proteins are identified by knock-out experiments, which are expensive and often fatal to the target organisms. Regarding this, an important approach to essential protein identification is through computational prediction. In this research, we present a novel computational method, Integrated Edge Weights (IEW), to innovatively predict proteins' essentiality based on essential protein-protein interactions. The experimental results on all three organisms: Saccharomyces cere-visiae (Yeast), Escherichia coli (E. coli), and Caenorhabditis ele-gans (C. elegans) show that IEW achieves better performance than the state-of-the-art methods in terms of precision-recall. Furthermore, we have demonstrated that the highly-ranked protein-protein interactions predicted by our approach tend to be biologically significant in Yeast, E. coli, and C. elegans protein-protein interaction (PPI) networks.

关键词： Proteins Protein engineering Gene expression Organisms Databases Vectors

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Shape classes registration and retrieval based on shape parts matching

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Journal of computational Information Systems 2013年第4期9卷 1493-1499页

作者： Wang, Zhenxin Ouyang, Jihong College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

This paper finds the most expressive segments of a shape category called similar and discriminative parts, which can distinguish the learned shape class from other groups. The proposed model chooses a computationally efficient shape segment metric for similar and discriminative parts matching algorithm, and addition with a strategy for determining the cover parameter β for registering a shape part class. Then we test our method with several benchmark data sets. Copyright © 2013 Binary Information Press.

关键词： Information systems

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Development of a multi-objective genetic algorithm for MDO problem

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Journal of Information and computational Science 2013年第6期10卷 1603-1612页

作者： Yao, Yifeng Yan, Pu Liu, Dayou College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China

engineering systems have become quite complicated in recent days. The requirements of design are complex and it is hard to meet them by considering only one discipline. In this paper, we suggest a hybrid Multi-objective Genetic Algorithm (MOGA) for a Multidisciplinary Design Optimization (MDO) model in engineering design. In order to get Pareto optimal solutions, we use local search to enhance the efficiency and effectiveness. We solve a problem of airplane wings optimization using MOGA. After compared with other MDO algorithms, we find the result shows that the proposed algorithm's performance has an advantage over previous work for these MDO problems. As the algorithm is evaluated based on practical data, we show that the approach can be used to solve MDO problems in the real world. Copyright © 2013 Binary Information Press.

关键词： Genetic algorithms

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A Hybrid TS-DE Algorithm for Reliability Redundancy Optimization Problem

A Hybrid TS-DE Algorithm for Reliability Redundancy Optimiza...

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The 6th International Conference on Computer Research and Development

作者： Yubao Liu Guihe Qin College of Computer Science and Technology Jilin UniversityChangchunChina College of Computer Science and TechnologyChangchun University College of Computer Science and Technology Jilin UniversityChangchunChina Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin University

In this paper, a hybrid TS-DE algorithm based on Tabu search and differential evolution algorithm is proposed to solve the reliability redundancy optimization problem. A differential evolution algorithm is embedded in Tabu search algorithm. TS is applied for searching solutions space, and DE is used for generating neighborhood solutions. The advantages of both algorithms are considered simultaneously. And an adaptive hybrid TS-DE approach is developed to solve three benchmark reliability redundancy allocation problems. By comparing with other algorithms reported in previous literatures, experimental results show that the proposed method is effective and efficient for solving the reliability redundancy optimization problem.

关键词： nonlinear programming Tabu search differential evolution reliability optimization redundancy allocation

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Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data

Modeling and Mining Spatiotemporal Social Contact of Metapop...

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IEEE International Conference on Data Mining (ICDM)

作者： Bo Yang Hongbin Pei Hechang Chen Jiming Liu Shang Xia School of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education China Department of Computer Science Hong Kong Baptist University Hong Kong National Institute of Parasitic Diseases Chinese CDC Shanghai China

ISBN: (纸本)9781479943012

During an epidemic, the spatial, temporal and demographical patterns of disease transmission are determined by multiple factors. Besides the physiological properties of pathogenes and hosts, the social contacts of host population, which characterize individuals' reciprocal exposures of infection in view of demographical structures and various social activities, are also pivotal to understand and further predict the prevalence of infectious diseases. The means of measuring social contacts will dominate the extent how precisely we can forecast the dynamics of infections in the real world. Most current works focus their efforts on modeling the spatial patterns of static social contacts. In this work, we address the problem on how to characterize and measure dynamical social contacts during an epidemic from a novel perspective. We propose an epidemic-model-based tensor deconvolution framework to address this issue, in which the spatiotemporal patterns of social contacts are represented by the factors of tensors, which can be discovered by a tensor deconvolution procedure with an integration of epidemic models from rich types of data, mainly including heterogeneous outbreak surveillance, social-demographic census and physiological data from medical reports. Taking SIR model as a case study, the efficacy of the proposed method is theoretically analyzed and empirically validated through a set of rigorous experiments on both synthetic and real-world data.

关键词： Educational institutions Diseases Sociology Statistics Tensile stress Surveillance Data models

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Integrity constraints in OWL ontologies based on grounded circumscription

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Frontiers of Computer Science 2013年第6期7卷 812-821页

作者： Dantong OUYANG College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun 130012 China National Engineering Research Center of Geophysics Exploration Instruments Changchun 130026 China

The extensions for logic-based knowledge bases with integrity constraints are rather popular. We put forward an alternative criteria for analysis of integrity constraints in Web ontology language （OWL） ontology under the closed world assumption. According to this criteria, grounded circumscription is applied to define integrity constraints in OWL ontology and the satisfaction of the integrity constraints by minimizing extensions of the predicates in integrity con- straints. According to the semantics of integrity constraints, we provide a modified tableau algorithm which is sound and complete for deciding the consistency of an extended ontol- ogy. Finally, the integrity constraint validation is converted into the corresponding consistency of the extended ontology. Comparing our approach with existing integrity constraint validation approaches, we show that the results of our approach are more in accordance with user requirements than other approaches in certain cases.

关键词： semantic Web description logic ontology integrity constraints grounded circumscription

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Research and implementation of improved real-time crawler modeling

Research and implementation of improved real-time crawler mo...

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International Conference on Electrical Information and Mechatronics, ICEIM 2012

作者： Zuo, Xianglin Wang, Wenbo Wang, Ying Zuo, Wanli College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education China

ISBN: (纸本)9783037856901

The past decade has witnessed the rapid development of search engines, which has become an indispensable part of everyday life. However, people are no longer satisfied with accessing to ordinary information, and they may instead pay more attention to fresh information. This demand poses challenges to traditional search engines, which concern more about relevance and importance of web pages. A search engine compresses three modules: crawler, indexer and searcher. Changes are needed for all these three parts to improve search engine's freshness. This paper investigates the first part of search engine - crawler, we analyze the requirements for real-time crawler, and propose a novel real-time crawler based on more accurate estimation of refresh time. Experimental results demonstrate that the proposed real-time crawler can help search engine improve its freshness. © (2013) Trans Tech Publications, Switzerland.

关键词： Search engines

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