TY - GEN
T1 - I-SEE
T2 - 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
AU - Shin, Se Jung
AU - Park, Hong Kyu
AU - Woo, Ho Jin
AU - Lee, Won Suk
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - The primary objective of various data stream applications is to monitor the on-going variations of data elements newly generated in data streams, so that appropriate services can be delivered to users timely. Basically, such monitoring activities can be divided into three categories: instant event monitoring, frequent behavior monitoring and analytic OLAP measures monitoring. Several prototype systems for data streams have been introduced but they are designated to support only the operations of one or two categories. However, many real-world data stream applications often require mixed operations of the three categories. This demonstration introduces an Integrated Stream Execution Environment (i-SEE) that can support the mixed execution of the operations of the three categories seamlessly, so that an i-SEE system can provide the multifaceted analytic results of on-line data streams continuously for various emerging applications.
AB - The primary objective of various data stream applications is to monitor the on-going variations of data elements newly generated in data streams, so that appropriate services can be delivered to users timely. Basically, such monitoring activities can be divided into three categories: instant event monitoring, frequent behavior monitoring and analytic OLAP measures monitoring. Several prototype systems for data streams have been introduced but they are designated to support only the operations of one or two categories. However, many real-world data stream applications often require mixed operations of the three categories. This demonstration introduces an Integrated Stream Execution Environment (i-SEE) that can support the mixed execution of the operations of the three categories seamlessly, so that an i-SEE system can provide the multifaceted analytic results of on-line data streams continuously for various emerging applications.
UR - http://www.scopus.com/inward/record.url?scp=78651325913&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651325913&partnerID=8YFLogxK
U2 - 10.1145/1871437.1871784
DO - 10.1145/1871437.1871784
M3 - Conference contribution
AN - SCOPUS:78651325913
SN - 9781450300995
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 1959
EP - 1960
BT - CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops
Y2 - 26 October 2010 through 30 October 2010
ER -