<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Amirkabir University of Technology</PublisherName>
				<JournalTitle>AUT Journal of Electrical Engineering</JournalTitle>
				<Issn>2588-2910</Issn>
				<Volume>41</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2009</Year>
					<Month>11</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Solution to View Management to Build a Data Warehouse</ArticleTitle>
<VernacularTitle>A Solution to View Management to Build a Data Warehouse</VernacularTitle>
			<FirstPage>17</FirstPage>
			<LastPage>27</LastPage>
			<ELocationID EIdType="pii">281</ELocationID>
			
<ELocationID EIdType="doi">10.22060/eej.2009.281</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>N.</FirstName>
					<LastName>Daneshpour</LastName>
<Affiliation>Corresponding Author, N. Daneshpour is a PhD candidate of the Department of Computer Engineering &amp; Information Technology, Amirkabir
University of Technology, Tehran, Iran (email: daneshpour@aut.ac.ir).</Affiliation>

</Author>
<Author>
					<FirstName>A.</FirstName>
					<LastName>Abdollahzadeh Barfourosh</LastName>
<Affiliation>A. Abdollahzadeh Barfourosh is with the Department of Computer Engineering &amp; Information Technology, Amirkabir University of
Technology, Tehran, Iran (e-mail: ahmad@ce.aut.ac.ir).</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>03</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>Several techniques exist to select and materialize a proper set of data in a suitable structure that manage the queries submitted to the online analytical processing systems. These techniques are called view management techniques, which consist of three research areas: 1) view selection to materialize, 2) query processing and rewriting using the materialized views, and 3) maintaining materialized views. There are several parameters should be considered in order to find the most important algorithm for view management. As various researches have been done to propose view selection algorithms, we should select and modify the most suitable algorithm for view materialization based on the properties of the applications. In this paper, we investigate and find relevant parameters to view selection algorithms and classify them based on these parameters. We also present a system to evaluate algorithms and compare them with respect to the values of the evaluation parameters. Based on the results of these activities, we propose a roadmap that helps us choose the most efficient view selection algorithm concerning application types.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Algorithm classification</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">data warehousing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">view management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">view materialization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">view selection</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://eej.aut.ac.ir/article_281_e3796ae838835da0b6f6ea37bcf8bcb7.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
