Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops |
| Pages | 1959-1960 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2010 Dec 1 |
| Event | 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 - Toronto, ON, Canada Duration: 2010 Oct 26 → 2010 Oct 30 |
Publication series
| Name | International Conference on Information and Knowledge Management, Proceedings |
|---|
Other
| Other | 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 |
|---|---|
| Country | Canada |
| City | Toronto, ON |
| Period | 10/10/26 → 10/10/30 |
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All Science Journal Classification (ASJC) codes
- Decision Sciences(all)
- Business, Management and Accounting(all)
Cite this
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I-SEE : Integrated stream execution environment over on-line data streams. / Shin, Se Jung; Park, Hong Kyu; Woo, Ho Jin; Lee, Won Suk.
CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops. 2010. p. 1959-1960 (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - I-SEE
T2 - Integrated stream execution environment over on-line data streams
AU - Shin, Se Jung
AU - Park, Hong Kyu
AU - Woo, Ho Jin
AU - Lee, Won Suk
PY - 2010/12/1
Y1 - 2010/12/1
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
ER -