Paper Info
Title
Real-time data analysis in ClowdFlows.
Abstract
ClowdFlows is an open cloud based platform for composition, execution, and sharing of interactive data mining workflows. In this paper we extend the ClowdFlows platform with the ability to mine real-time data streams. This functionality was implemented by creating a specialized type of workflow component and a stream mining daemon that delegates the execution of workflows in real-time. In this way, we have transformed a batch data processing platform into a real-time stream mining platform with an intuitive user interface. The real-time analytics aspect of the platform is demonstrated in a Twitter sentiment analysis use case where the sentiment of tweets about whistleblower Edward Snowden was monitored for approximately one month.
Year
DOI
Venue
2013
10.1109/BigData.2013.6691682
BigData Conference
Keywords
Field
DocType
batch processing (computers),cloud computing,data mining,public domain software,user interfaces,ClowdFlows platform,Edward Snowden,Twitter sentiment analysis,batch data processing platform,interactive data mining workflows,intuitive user interface,open cloud based platform,real-time analytics,real-time data analysis,real-time data streams,real-time stream mining platform,stream mining daemon,whistleblower,workflow component,data mining platform,real-time data analysis,sentiment analysis,stream mining,web application,workflows
Data mining,Data stream mining,World Wide Web,Web mining,Open platform,Sentiment analysis,Computer science,User interface,Analytics,Workflow,Database,Cloud computing
Conference
ISSN
Citations 
PageRank 
2639-1589
2
0.37
References 
Authors
12
3
Name
Order
Citations
PageRank
Janez Kranjc1815.14
Vid Podpecan2333.05
Nada Lavrac32004635.45