DocumentCode :
3673608
Title :
Real-Time Stream Data Analytics for Multi-purpose Social Media Applications
Author :
Satyen Abrol;Gunasekar Rajasekar;Latifur Khan;Vaibhav Khadilkar;Siddarth Nagarajan;Nathan McDaniel;Gautam Ganesh;Bhavani Thuraisingham
Author_Institution :
Univ. of Texas at Dallas, Dallas, TX, USA
fYear :
2015
Firstpage :
25
Lastpage :
30
Abstract :
This paper describes a real-time information integration and analytics system called InXite for multi-purpose applications. InXite is designed to detect evolving patterns and trends in streaming data including social media data (e.g., tweets). InXite comprises of multiple modules including InXite Registration and Dashboard, InXite Real-time Data Streamer, InXite Information Integrator and InXite Analytics Engine each of which is outlined in this document. At present, InXite has been demonstrated for security, marketing and law enforcement applications.
Keywords :
"Data mining","Storms","Real-time systems","Ontologies","Algorithm design and analysis","Prediction algorithms","Engines"
Publisher :
ieee
Conference_Titel :
Information Reuse and Integration (IRI), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/IRI.2015.15
Filename :
7300951
Link To Document :
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