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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Isfahan &amp; Iranian Society of Cryptology</PublisherName>
				<JournalTitle>Journal of Computing and Security</JournalTitle>
				<Issn>2322-4460</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Editorial Note</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>81</FirstPage>
			<LastPage>82</LastPage>
			<ELocationID EIdType="pii">21853</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Ahmad Reza</FirstName>
					<LastName>Naghsh-Nilchi</LastName>
<Affiliation>University of Isfahan</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>08</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract></Abstract>
<ArchiveCopySource DocType="pdf">https://jcomsec.ui.ac.ir/article_21853_702d095345254acccfee97e955ec2471.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Isfahan &amp; Iranian Society of Cryptology</PublisherName>
				<JournalTitle>Journal of Computing and Security</JournalTitle>
				<Issn>2322-4460</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Ranking of Common Architectural Styles Based on Availability, Security and Performance Quality Attributes</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>83</FirstPage>
			<LastPage>93</LastPage>
			<ELocationID EIdType="pii">21852</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Safieh</FirstName>
					<LastName>Tahmasebipour</LastName>
<Affiliation>Department
of Computer Engineering, University of Kashan, Kashan, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Morteza</FirstName>
					<LastName>Babamir</LastName>
<Affiliation>Department
of Computer Engineering, University of Kashan, Kashan, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2012</Year>
					<Month>12</Month>
					<Day>26</Day>
				</PubDate>
			</History>
		<Abstract>An architect designs software using architectural styles and quality attributes. To satisfy quality attributes, architectural tactics are used. An architectural tactic determines how to implement a quality attribute in architectural styles. The interaction between architectural tactics and architectural styles plays an important role in meeting quality attributes. In this article, the interaction between architectural tactics, namely “availability” and “performance”, and architectural styles, namely “pipe &amp; filter”, “layered”, “blackboard”, “client-server” and “broker” is evaluated, and then, a new ranking scheme for the architectural styles is proposed. Through this scheme, the best architectural style maybe obtained for every individual quality attribute or their combinations.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Software Architecture</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Quality Attributes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">availability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Security</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Performance</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcomsec.ui.ac.ir/article_21852_92ba8d6a76d44b3153a1e394004563ef.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Isfahan &amp; Iranian Society of Cryptology</PublisherName>
				<JournalTitle>Journal of Computing and Security</JournalTitle>
				<Issn>2322-4460</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluating Behavioral Intentions of Tourists in e-Tourism</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>95</FirstPage>
			<LastPage>109</LastPage>
			<ELocationID EIdType="pii">21854</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fahimeh</FirstName>
					<LastName>Parsaei</LastName>
<Affiliation>Lecturer of Azad University</Affiliation>

</Author>
<Author>
					<FirstName>Mehran</FirstName>
					<LastName>Rezaei</LastName>
<Affiliation>Professor of Isfahan University</Affiliation>

</Author>
<Author>
					<FirstName>Monireh</FirstName>
					<LastName>Arabjafari</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>11</Month>
					<Day>30</Day>
				</PubDate>
			</History>
		<Abstract>Tourism is one of the major sources of income for many countries and with the advent of internet, using this new channel (internet) for providing different services of tourism, i.e., e-tourism, is growing rapidly. This is also the case in Iran, but it is clear that focusing on technology alone can’t lead the business to success. The key point of successful business in e-tourism is to concentrate on the customers and their behavior for having a better relationship with them. This study is intended to develop a model based on Decomposed Theory of Planned Behavior (DTPB) that considers influential factors to predict and evaluate intention of tourists and travelers while using e-tourism services and websites, such as www.expedia.com and www.priceline.com. The influential factors are studied and investigated through a survey with 259 responses. Structural Equation Modeling (SEM) has also been utilized for testing relevant hypotheses to either include or thwart specific factors which drive people to use e-tourism services provided in e-tourism websites. The results show that “Subjective Norm” and “Perceived Behavioral Control” significantly affect Iranian customer’s intention to use e-tourism (i.e., the websites which offer tourism services). In this research we not only worked on evaluating a model and the relationship between constructs, but also tried to find specific factors that drive people to use e-tourism. So, besides DTPB factors, we found that Curiosity has more effect on tourist intention. The findings have implications for Iranian tourism companies to predict the behavior of tourists when they are using the e-tourism, and also develop the CRM methods in e-tourism websites.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">E-Tourism</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Consumer Behavior</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Decomposed TPB Model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Curiosity</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcomsec.ui.ac.ir/article_21854_86fc9b4c6039633a181e25fea90716ce.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Isfahan &amp; Iranian Society of Cryptology</PublisherName>
				<JournalTitle>Journal of Computing and Security</JournalTitle>
				<Issn>2322-4460</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A New Hybrid Approach for Modeling Accurate Fuzzy Rule Based Classification Systems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>111</FirstPage>
			<LastPage>122</LastPage>
			<ELocationID EIdType="pii">21855</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Fahimeh</FirstName>
					<LastName>Farahbod</LastName>
<Affiliation>Master studen in Shahid Bahonar University of Kerman</Affiliation>

</Author>
<Author>
					<FirstName>Mahdi</FirstName>
					<LastName>Eftekhari</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>01</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>we propose in this article a new hybrid method for modeling accurate fuzzy rule based classication systems. The new method is a combination of manifold based data mapping method, a heuristic fuzzy rule based construction method and an evolutionary based rule weighting approach. Manifold based data mapping method considers the intricate geometric relationships that may exist among the data and computes a new representation of data that optimally preserves local neighborhood information in a certain sense. Although this new representation does not secure the interpret ability of obtained fuzzy models, the main intention of this research is to improve the classication accuracy signicantly. Experiments on some well-known datasets are performed to show the performance of the new proposed approach. Some nonparametric statistical tests are used to analysis the results obtained in experiments. Experimental results conrm the eectiveness of our proposed method in improvement of the classication accuracy.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Rule Based Classification Systems</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">FRBCSs</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Manifold Learning</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rule Weighting</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Genetic Network Programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">GNP</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcomsec.ui.ac.ir/article_21855_264262b0ff7d9bdd9e4d37b4f3a2bf99.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Isfahan &amp; Iranian Society of Cryptology</PublisherName>
				<JournalTitle>Journal of Computing and Security</JournalTitle>
				<Issn>2322-4460</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Word Sense Disambiguation Based on Lexical and Semantic Features Using Naive Bayes Classifier</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>123</FirstPage>
			<LastPage>132</LastPage>
			<ELocationID EIdType="pii">21856</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Amir Hossein</FirstName>
					<LastName>Rasekh</LastName>
<Affiliation>Shiraz University</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Hadi</FirstName>
					<LastName>Sadreddini</LastName>
<Affiliation>Computer
Science and Engineering Department, Shiraz, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Seyed Mostafa</FirstName>
					<LastName>Fakhrahmad</LastName>
<Affiliation>Computer
Science and Engineering Department, Shiraz, Iran.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>01</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>Machine translation is considered as a branch of machine intelligence with about fifty years background. Ambiguity of language is the most problematic issue in machine translation systems, which may lead to unclear or wrong translation. One of the problems involved in natural language processing is the semantic and structural ambiguity of the words. The objective of this paper to focused on the word sense disambiguation. In here, the existing algorithms for word sense disambiguation are evaluated and a method which is proposed based on the concept, structure and meaning of the words. The experimental results are promising and indicate that this proposed approach significantly outperform its counterparts in terms of disambiguation accuracy.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Natural Language Processing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Word Sense Disambiguation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Text Mining</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcomsec.ui.ac.ir/article_21856_a6ee443bc566f1f441ca12068ea1f020.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Isfahan &amp; Iranian Society of Cryptology</PublisherName>
				<JournalTitle>Journal of Computing and Security</JournalTitle>
				<Issn>2322-4460</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>MRAR: Mining Multi-Relation Association Rules</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>133</FirstPage>
			<LastPage>158</LastPage>
			<ELocationID EIdType="pii">21857</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Ramezani</LastName>
<Affiliation>Department of Computer Engineering, Ferdowsi University of Mashhad</Affiliation>

</Author>
<Author>
					<FirstName>Mohamad</FirstName>
					<LastName>Saraee</LastName>
<Affiliation>Electrical &amp; Computer Engineering, Isfahan University of Technology, Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Ali</FirstName>
					<LastName>Nematbakhsh</LastName>
<Affiliation>Department of Computer Engineering, University of Isfahan, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>12</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>In this paper, we introduce a new class of association rules (ARs) named&quot;Multi-Relation Association Rules&quot; which in contrast to primitive ARs (thatare usually extracted from multi-relational databases), each rule item consistsof one entity and several relations. These relations indicate indirect relationshipbetween entities. Consider the following Multi-Relation Association Rule wherethe first item consists of three relations live in, nearby and humid: &quot;Those wholive in a place which is near by a city with humid climate type and also areyounger than 20 → their health condition is good&quot;. A new algorithm calledMRAR is proposed to extract such rules from directed graphs with labelededges which are constructed from RDBMSs or semantic web data. Also, thequestion &quot;how to convert RDBMS data or semantic web data to a directed graphwith labeled edges?&quot; is answered. In order to evaluate the proposed algorithm,some experiments are performed on a sample dataset and also a real-world drugsemantic web dataset. Obtained results confirm the ability of the proposedalgorithm in mining Multi-Relation Association Rules.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Data Mining</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Knowledge Discovery</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Association Rules</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Multi-Relation Association Rules</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">MRAR</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Copulative Entity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Endpoint Entity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">ItemChain</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcomsec.ui.ac.ir/article_21857_da59f278d01b06f8cb72ae79ad0436d7.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Isfahan &amp; Iranian Society of Cryptology</PublisherName>
				<JournalTitle>Journal of Computing and Security</JournalTitle>
				<Issn>2322-4460</Issn>
				<Volume>1</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2014</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Solution of the Generalized Interval Linear Programming Problems: Pessimistic and Optimistic Approaches</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>159</FirstPage>
			<LastPage>167</LastPage>
			<ELocationID EIdType="pii">21858</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Ghatee</LastName>
<Affiliation>Amirkabir University of Technology</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2012</Year>
					<Month>12</Month>
					<Day>26</Day>
				</PubDate>
			</History>
		<Abstract>This paper deals with linear programming problem with interval numbers as coefficients to exhibit with uncertainty. Since, the set of common intervals is not a field, we define generalized interval numbers to produce an algebraic interval field and on this field, we propose principle of uncertainty traverse instead of extension principle which permits to define operators on intervals exactly similar to the same operators on real numbers. In addition, we apply a total order on this field to transform interval linear programming into a traditional problem. The proposed order can be extended either pessimistically or optimistically. The numerical experiments are given to demonstrate the efficiency of the proposed scheme in comparison with the previous established works. The approach in this paper can be generalized to fuzzy linear programming problems taking the fuzzy cuts into account.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Interval Field</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Interval Linear Programming</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Total Ordering</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ranking Functions</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcomsec.ui.ac.ir/article_21858_d6dcdce12092a29d3652272f61c74264.pdf</ArchiveCopySource>
</Article>
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