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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/1066/CDFMR-A-Distributed-Statistical-Analysis-of-Stock-Market-Data-using-MapReduce-with-Cumulative-Distribution-Function">
		<rdfs:label><![CDATA[CDFMR: A Distributed Statistical Analysis of Stock Market Data using MapReduce with Cumulative Distribution Function]]></rdfs:label>
		<pub:title><![CDATA[CDFMR: A Distributed Statistical Analysis of Stock Market Data using MapReduce with Cumulative Distribution Function]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2023-07-07T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[The stock market generates massive data daily on
top of a deluge of historical data. Investors and traders look to
stock market data analysis for assurance in their investments, a
prime indicator of our global economy. This has led to immense
popularity in the topic, and consequently, much research has been
done on stock market predictions and future trends. However,
due to the relatively slow electronic trading systems and order
processing times, the velocity of data, the variety of data,
and social factors, there is a need for gaining speed, control,
and continuity in data processing (real-time stream processing)
considering the amount of data that is being produced daily.
Unfortunately, processing this massive amount of data on a single
node is inefficient, time-consuming, and unsuitable for real-time
processing. Recently, there have been many advancements in Big
Data processing technologies such as Hadoop, Cloud MapReduce,
and HBase. This paper proposes a MapReduce algorithm for
statistical stock market analysis with a Cumulative Distribution
Function (CDF). We also highlight the challenges we faced during
this work and their solutions. We further showcase how our
algorithm is spanned across multiple functions, which are run
using multiple MapReduce jobs in a cascaded fashion.]]></pub:abstract>
		<pub:organization><![CDATA[IEEE]]></pub:organization>
		<pub:counter>1290</pub:counter>
		<pub:tag><![CDATA[big data]]></pub:tag>
		<pub:tag><![CDATA[cascaded jobs.]]></pub:tag>
		<pub:tag><![CDATA[distributed]]></pub:tag>
		<pub:tag><![CDATA[hadoop]]></pub:tag>
		<pub:tag><![CDATA[mapreduce]]></pub:tag>
		<pub:tag><![CDATA[prediction]]></pub:tag>
		<pub:tag><![CDATA[probability distribution]]></pub:tag>
		<pub:tag><![CDATA[stock market analysis]]></pub:tag>
		<pub:tag><![CDATA[streaming]]></pub:tag>
		<pub:booktitle><![CDATA[IEEE CLOUD Summit Conference 2023]]></pub:booktitle>
		<pub:publisher><![CDATA[IEEE]]></pub:publisher>
		<pub:author>
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				<rdf:first>
					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Karuna/Joshi"><person:name><![CDATA[Karuna Pande Joshi]]></person:name><rdfs:label><![CDATA[Karuna Pande Joshi]]></rdfs:label></person:Person>
				</rdf:first>
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						<rdf:first>
							<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Devendra/Dahiphale"><person:name><![CDATA[Devendra Dahiphale]]></person:name><rdfs:label><![CDATA[Devendra Dahiphale]]></rdfs:label></person:Person>
						</rdf:first>
						<rdf:rest>							<rdf:List>
								<rdf:first>
									<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Abhijeet/Wadkar"><person:name><![CDATA[Abhijeet Wadkar]]></person:name><rdfs:label><![CDATA[Abhijeet Wadkar]]></rdfs:label></person:Person>
								</rdf:first>
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<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Karuna/Joshi"><person:name><![CDATA[Karuna Pande Joshi]]></person:name><rdfs:label><![CDATA[Karuna Pande Joshi]]></rdfs:label></person:Person>
		</pub:firstAuthor>
		<pub:relatedProject><project:PastProject rdf:about="http://ebiquity.umbc.edu/project/html/id/97/Cloud-Security-and-Privacy"><project:title><![CDATA[Cloud Security and Privacy]]></project:title><rdfs:label><![CDATA[Cloud Security and Privacy]]></rdfs:label></project:PastProject></pub:relatedProject>
		<pub:relatedProject><project:PastProject rdf:about="http://ebiquity.umbc.edu/project/html/id/93/Semantic-Cloud-Services-Framework"><project:title><![CDATA[Semantic Cloud Services Framework]]></project:title><rdfs:label><![CDATA[Semantic Cloud Services Framework]]></rdfs:label></project:PastProject></pub:relatedProject>
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	</pub:InProceedings>

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