TY - GEN
T1 - Automating financial surveillance
AU - Milosavljevic, Maria
AU - Delort, Jean Yves
AU - Ben, Hachey
AU - Arunasalam, Bavani
AU - Radford, Will
AU - Curran, James R.
PY - 2010
Y1 - 2010
N2 - Financial surveillance technology alerts analysts to suspicious trading events. Our aim is to identify explainable false positives (e.g., caused by price-sensitive information in company news) and explainable true positives (e.g., caused by ramping in forums) by aligning these alerts with publicly available information. Our system aligns 99% of alerts, which will speed the analysts' task by helping them to eliminate false positives and gather evidence for true positives more rapidly.
AB - Financial surveillance technology alerts analysts to suspicious trading events. Our aim is to identify explainable false positives (e.g., caused by price-sensitive information in company news) and explainable true positives (e.g., caused by ramping in forums) by aligning these alerts with publicly available information. Our system aligns 99% of alerts, which will speed the analysts' task by helping them to eliminate false positives and gather evidence for true positives more rapidly.
KW - Document categorisation
KW - Financial surveillance
KW - Machine learning
KW - Sentiment analysis
UR - https://www.scopus.com/pages/publications/84870294424
U2 - 10.1007/978-3-642-12630-7_38
DO - 10.1007/978-3-642-12630-7_38
M3 - Conference proceeding contribution
AN - SCOPUS:84870294424
SN - 3642126294
SN - 9783642126291
VL - 40 LNICST
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
SP - 305
EP - 311
BT - User Centric Media - First International Conference, UCMedia 2009, Revised Selected Papers
T2 - 1st International Conference on User Centric Media, UCMedia 2009
Y2 - 9 December 2009 through 11 December 2009
ER -