TY - GEN
T1 - WSDM'15 workshop summary / scalable data analytics:Theory and applications
AU - Huang, Kaizhu
AU - Yang, Haiqin
AU - King, Irwin
AU - Lyu, Michael R.
N1 - Publisher Copyright:
Copyright © 2015 ACM.
PY - 2015/2/2
Y1 - 2015/2/2
N2 - The SDA workshop at WSDM 2015 is the fifth International Workshop on Scalable Data Analytics, following the previous four workshops of SDA respectively held at IEEE Big Data 2013, PAKDD 2014, IEEE Big Data 2014, and IEEE ICDM 2014. This series of workshops aims to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art theories and applications of scalable data analytics technologies. In particular, in the era of information explosion, the scientific, biomedical, and engineering research communities are undergoing a profound transformation where discoveries and innovations increasingly rely on massive amounts of data. The characteristics of volume, velocity, variety and veracity originated in the massive big data then bring challenges to current data analytics techniques. The focus of the fifth SDA is to discuss how we can scale up data analytics techniques for modeling and analyzing big data from various domains.
AB - The SDA workshop at WSDM 2015 is the fifth International Workshop on Scalable Data Analytics, following the previous four workshops of SDA respectively held at IEEE Big Data 2013, PAKDD 2014, IEEE Big Data 2014, and IEEE ICDM 2014. This series of workshops aims to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art theories and applications of scalable data analytics technologies. In particular, in the era of information explosion, the scientific, biomedical, and engineering research communities are undergoing a profound transformation where discoveries and innovations increasingly rely on massive amounts of data. The characteristics of volume, velocity, variety and veracity originated in the massive big data then bring challenges to current data analytics techniques. The focus of the fifth SDA is to discuss how we can scale up data analytics techniques for modeling and analyzing big data from various domains.
KW - Big data
KW - Data analytics
KW - Scalable
UR - http://www.scopus.com/inward/record.url?scp=84928712229&partnerID=8YFLogxK
U2 - 10.1145/2684822.2697030
DO - 10.1145/2684822.2697030
M3 - Conference Proceeding
AN - SCOPUS:84928712229
T3 - WSDM 2015 - Proceedings of the 8th ACM International Conference on Web Search and Data Mining
SP - 425
EP - 426
BT - WSDM 2015 - Proceedings of the 8th ACM International Conference on Web Search and Data Mining
PB - Association for Computing Machinery
T2 - 8th ACM International Conference on Web Search and Data Mining, WSDM 2015
Y2 - 31 January 2015 through 6 February 2015
ER -