TY - GEN
T1 - Microblogs data management and analysis
AU - Magdy, Amr
AU - Mokbel, Mohamed F.
PY - 2016/6/22
Y1 - 2016/6/22
N2 - Microblogs data, e.g., tweets, reviews, news comments, and social media comments, has gained considerable attention in recent years due to its popularity and rich contents. Nowadays, microblogs applications span a wide spectrum of interests, including detecting and analyzing events, user analysis for geo-targeted ads and political elections, and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to analyze and manage microblogs data to support different applications. In this tutorial, we give a 1.5 hours overview about microblogs data analysis, management, and systems. The tutorial gives a comprehensive review for research efforts that are trying to analyze microblogs contents to build on them new functionality and use cases. In addition, the tutorial reviews existing research that propose core data management components to support microblogs queries at scale. Finally, the tutorial reviews system-level issues and on-going work on supporting microblogs data through the rising big data systems. Through its different parts, the tutorial highlights the challenges and opportunities in microblogs data research.
AB - Microblogs data, e.g., tweets, reviews, news comments, and social media comments, has gained considerable attention in recent years due to its popularity and rich contents. Nowadays, microblogs applications span a wide spectrum of interests, including detecting and analyzing events, user analysis for geo-targeted ads and political elections, and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to analyze and manage microblogs data to support different applications. In this tutorial, we give a 1.5 hours overview about microblogs data analysis, management, and systems. The tutorial gives a comprehensive review for research efforts that are trying to analyze microblogs contents to build on them new functionality and use cases. In addition, the tutorial reviews existing research that propose core data management components to support microblogs queries at scale. Finally, the tutorial reviews system-level issues and on-going work on supporting microblogs data through the rising big data systems. Through its different parts, the tutorial highlights the challenges and opportunities in microblogs data research.
UR - http://www.scopus.com/inward/record.url?scp=84980319571&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84980319571&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2016.7498365
DO - 10.1109/ICDE.2016.7498365
M3 - Conference contribution
AN - SCOPUS:84980319571
T3 - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
SP - 1440
EP - 1443
BT - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd IEEE International Conference on Data Engineering, ICDE 2016
Y2 - 16 May 2016 through 20 May 2016
ER -