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Selecting informative genes from microarray data by using a hybrid algorithm for cancer classification

Selecting informative genes from microarray data by using a ...

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作者： Mohamad, M.S. Omatu, S. Deris, S. Misman, M.F. Department of Computer Science and Intelligent Systems Graduate School of Engineering Osaka Prefecture University Sakai Osaka 599-8531 Japan Department of Software Engineering Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia 81310 Skudai Johore Malaysia

ISBN: (纸本)9784990288020

The development of microarray-based high-throughput gene expression has led to the hope that this technology could provide an efficient cancer diagnosis and classification platform. A major problem in these gene expression data is that the number of genes greatly exceeds the number of tissue samples. Moreover, these data have a noisy nature. It has been shown that selecting a small subset of informative genes can lead to improved classification accuracy. Thus, this paper aims to select a small subset of informative genes that are most relevant for the classification task. To achieve this aim, a hybrid algorithm that combines two hybrid methods has been developed. This algorithm is assessed on two well-known microarray data sets, showing competitive results. ©ISAROB 2008.

关键词： Gene expression

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A Comparative Evaluation of State-of-the-Art Approaches for Web Service Composition

A Comparative Evaluation of State-of-the-Art Approaches for ...

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International Conference on software engineering Advances (ICSEA)

作者： Sayed Gholam Hassan Tabatabaei Wan Mohd Nasir Wan Kadir Suhaimi Ibrahim Department of Software Engineering Faculty of Computer Science and Information Systems University of Technology Joho Malaysia

In today's Web environment, many enterprises decide to implement and publish their applications on the Internet using Web services technology. In many cases, a single service is not sufficient to fulfill the user's request. To solve this problem, services should be combined together. Therefore, composition of Web services is one of the recent critical issues. A number of approaches have been presented, to tackle this problem. In this paper, we categorize these approaches into four categories (workflow-based, AI-planning based, syntactic-based, and semantic-based). Then, we compare these approaches based on some criteria (like QoS, scalability, and correctness). Investigation of that classification will help researchers who are working on service composition to deliver more applicable solutions.

关键词： Web services software engineering Web and internet services computer science Information systems Turing machines Application software Scalability software systems software design

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A fuzzy particle swarm approach to multiobjective quadratic assignment problems

A fuzzy particle swarm approach to multiobjective quadratic ...

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2nd Asia International Conference on Modelling and Simulation, AMS 2008

作者： Zhao, Mingyan Abraham, Ajith Grosan, Crina Liu, Hongbo School of Software Dalian University of Technology 116620 Dalian China Centre for Quantifiable Quality of Service in Communication Systems Norwegian University of Science and Technology Trondheim Norway Department of Computer Science Faculty of Mathematics and Computer Science Babes-Bolyai University Cluj-Napoca Romania School of Computer Science and Engineering Dalian Maritime University 116026 Dalian China

ISBN: (纸本)9780769531366

The multiobjective Quadratic Assignment Problem (mQAP) is considered as one of the hardest optimization problems but with many real-world applications. Since it may not be possible to simply weight the importance of each flow for the mQAP, it is best to use Pareto optimization to obtain the Pareto front or an approximation of it. Although Particle Swarm Optimization (PSO) algorithm has exhibited good performance across a wide range of application problems, research on mQAP has not much been investigated. This paper introduces a fuzzy particle swarm algorithm to handle the Multiobjective Quadratic Assignment Problem (mQAP)- In the fuzzy scheme, the representations of the position and velocity of the particles in the conventional PSO is extended from the real vectors to fuzzy matrices. A new mapping is introduced between the particles in the swarm and the problem space in an efficient way. We evaluated the performance of the proposed approach. Empirical results illustrate that the approach can be applied for solving mQAP's very effectively. © 2008 IEEE.

关键词： Pareto principle

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An evaluation of current approaches for Web service composition

An evaluation of current approaches for Web service composit...

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International Symposium on Information Technology, ITSim

Since many organizations recently decide to implement and publish their applications over Internet, the number of Web services has dramatically increased. In many cases, a single service is not sufficient to respond to the user’s request. In order to tackle this problem, services have to be combined together. Therefore, composition of Web services is one of the recent critical issues. Several approaches have been presented, to tackle this problem. In this paper, we classify these approaches into four categories namely Workflow-based, AI-planning based, Syntactic-based, and Ontology-based. Then, we describe and compare these approaches using some criteria (like QoS, scalability, and correctness). The overall results indicate that some AI-planning and Ontology based approaches like HTN-DL and WSMO satisfy most of the criteria.

关键词： Web services Planning Ontologies Calculus OWL Semantic web Protocols

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Semantic Web Service Discovery and Composition Based on AI Planning and Web Service Modeling Ontology

Semantic Web Service Discovery and Composition Based on AI P...

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IEEE Asia-Pacific Conference on Services Computing (APSCC)

Web services are the preferred standards-based way to realize service oriented architecture (SOA) computing. A problem that has become one of the recent critical issues is automated composition of Web services. A number of approaches have been proposed to resolve the problem. However, discovery and composition of Web services have been neglected by majority of those approaches. In this paper, we propose an approach called AIMO, based on AI-planning and Web service modeling ontology (WSMO), which are adapted and extended to tackle the mentioned problem. Moreover, we propose a translator to provide interaction between WSMO and AI-planning. We start with presenting the AIMO architecture which shows all components of the proposed approach. Finally, a simple case study is designed to test some components of AIMO. The preliminary results of the test demonstrate that our approach provides an applicable solution.

关键词： Semantic Web Artificial intelligence Web services Ontologies Service oriented architecture Testing Process planning software systems XML software engineering

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Improved robust 𝒟𝒰-stability measures via S-procedure

Improved robust 𝒟𝒰-stability measures via S-procedure

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American Control Conference (ACC)

作者： Bilal Sari Olivier Bachelier Driss Mehdi Toufic Al Chaer Languages Informatics Systems and Software Engineering Department Faculty of Computer Science University of Poitiers Poitiers France

In this paper we focus on the notion of robust matrix root-clustering analysis in a union of regions that are possibly disjoint and non symmetric. Indeed this work aims at computing a bound on the size of the uncertainty domain preserving matrix D u -stability. A Linear Fractional Transform (LFT) uncertainty is considered. To reduce conservatism, a new approach, based on some generalized S-procedure, is addressed. In the case where the studied matrices depend afflnely on the uncertain parameters or when the studied matrices are subject to polytopic uncertainty, it is known that recently developed L.M.J conditions are effective to assess the robust performance in a less conservative fashion. This paper further extends the preceding results and propose a unified way to obtain new L.M.J conditions even in the case of rational parameter dependence. Some conservatism induced by some techniques encountered in the literature is here reduced .

关键词： Robustness Uncertainty Lyapunov method Robust control Symmetric matrices Robust stability Control system synthesis Control system analysis Control systems Uncertain systems

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Random black hole particle swarm optimization and its application

Random black hole particle swarm optimization and its applic...

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International Conference on Neural Networks and Signal Processing

作者： Junqi Zhang Kun Liu Ying Tan Xingui He Languages Informatics Systems and Software Engineering Department Faculty of Computer Science Peking University Beijing China

ISBN: (纸本)9781424423101

This paper introduces a novel particle swarm optimization algorithm based on the concept of black holes in physics, called random black hole particle swarm optimization (RBH-PSO) for the first time. In each dimension of a particle, we randomly generate a black hole located nearest to the best particle of the swarm in current generation and then randomly pull particles of the swarm into the black hole with a probability p. By this mechanism of random black hole, we can give all the particles another interesting direction to converge as well as another chance to fly out of local minima when a premature convergence happens. Several experiments on fifteen benchmark test functions are conducted to demonstrate that the proposed RBH-PSO algorithm is able to speedup the evolution process distinctly and improve the performance of global optimizer greatly. Finally, an actual application of the proposed algorithm to spam detection is conducted then compared to other three current methods.

关键词： Benchmark testing Algorithm design and analysis Particle swarm optimization Optimization Electronic mail Convergence Support vector machines

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Block Segmentation in Cross Stitch Application

Block Segmentation in Cross Stitch Application

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2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会

作者： Noraziah Ahmad Suryanti Awang Nurshabah Yalah Norazaliza Mohd.Jamil University Malaysia Pahang Faculty of Computer Systems & Software EngineeringLocked Bag 1225000 Kuantan

Image segmentation is process of partitioning a digital image into multiple sets ofpixels called *** this paper,the technique of image segmentation used focused on color image since the output of pattern must be in *** present the implementation of block segmentation as a technique to convert a color image into cross stitch *** segmentation is used by considering the characteristic of cross stitch pattern itself.

关键词： Block segmentation color image RGB cross stitch pixel

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An Ontology-Based Sentiment Classification Methodology for Online Consumer Reviews

An Ontology-Based Sentiment Classification Methodology for O...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Jantima Polpinij Aditya K. Ghose Decision Systems Laboratory School of Computer Science and Software Engineering Faculty of Informatics University of Wollongong Wollongong NSW Australia

This paper presents a method of ontology-based sentiment classification to classify and analyse online product reviews of consumers. We implement and experiment with a support vector machines text classification approach based on a lexical variable ontology. After testing, it could be demonstrated that the proposed method can provide more effectiveness for sentiment classification based on text content.

关键词： Ontologies Motion pictures Support vector machines Text categorization Intelligent agent Support vector machine classification Electronic commerce Internet Web search Automotive engineering

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An Automatic Elaborate Requirement Specification By Using Hierarchical Text Classification

An Automatic Elaborate Requirement Specification By Using Hi...

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International Conference on computer Science and software engineering

作者： Jantima Polpinij Aditya Ghose Department of Computer Science Faculty of Informatics Mahasarakham University Kantarawichai Mahasarakham Thailand Decision Systems Lab School of Computer Science and Software Engineering Faculty of Informatics University of Wollongong Wollongong Australia

ISBN: (纸本)9781424439027

Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambiguous for specification purposes. This paper aims to propose a method for handling requirement specification documents which have a similar content to each other through a hierarchical text classification. The method consists of two main processes of classification: heavy classification and light classification. The heavy classification is to classify the requirement specification documents having similar content together. Meanwhile, light classification is to elaborate specification requirement documents by using the Euclidean distance. Finally, slimming down the number of requirements specification through hierarchical text classification classifying may yield a specification which is easier to understand. That means the proposed method is more effective for reducing and handling in the requirements specification.

关键词： Text categorization computer science software engineering Euclidean distance Quality assessment Informatics computer errors Natural languages Document handling Australia

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