Dallas / Birmingham / Palo Alto / New York / New Orleans / Santiago / Prague / Melbourne / Vienna / Bologna / Lyon / St. Louis / Rio de Janeiro / /
Company
IEEE Computer / ACM Press / Australian Computer Society Inc. / Artificial Neural Networks / IEEE Computer Society Press / Australian Computer Society Inc SA / Kao / /
Country
Italy / Chile / France / Austria / United States / Brazil / Australia / United Kingdom / /
Currency
pence / / /
Facility
ASERNIP/Royal Australasian College of Surgeons / Simon Fraser University / Flinders University / /
IndustryTerm
Data mining techniques / anomaly detection algorithms / anomaly detection algorithm / association rule mining / data mining tools / automated mining / association mining algorithm / longitudinal and incremental association rule mining / longitudinal mining / data mining algorithm / representative algorithms / longitudinal and spatio-temporal data mining / conventional association mining / temporal and spatial data mining techniques / association mining techniques / higher order data mining / data mining / e - business / data mining algorithms / data mining routines / higher order data mining method / higher order mining / association rule algorithms / temporal data mining / order data mining / expert systems / ecommerce web sites / phase mining / reduction operator / knowledge discovery systems / partial solution / telecommunications / web session consisting / hierarchical data mining / association mining / higher order longitudinal/spatio-temporal association rule mining / mining / temporal association rule mining / detection algorithm / data mining research / detection algorithms / search space / data mining technology / /
OperatingSystem
XP / /
Organization
Clustering association / Sanibel Island / John F. Roddick School of Computer Science / Engineering and Mathematics / Flinders University / Australian Computer Society / ASERNIP/Royal Australasian College of Surgeons / IEEE Computer Society / Simon Fraser University / /
Person
Ai / Morgan Kaufmann / Mark Ri / Max Trans / Liang Ping / /
Position
emporizingF actor / representative / /
ProgrammingLanguage
Java / /
ProvinceOrState
Louisiana / New York / Missouri / Florida / /
PublishedMedium
Machine Learning / /
Region
South Australia / /
Technology
4.2 TARMA-b Algorithm / RAM / anomaly detection algorithms / third-party detection algorithms / Information Technology / discovery algorithms / association rule algorithms / detection algorithms / Machine Learning / 5 These algorithms / DBMS / association mining algorithm / two algorithms / 4.1 TARMA-a Algorithm / anomaly detection algorithm / 4 Detection Algorithms / artificial intelligence / planned TARMA-c algorithm / Java / data mining technology / data mining algorithms / one algorithm / TARMA-c algorithm / data mining / data mining algorithm / detection algorithm / /
Detecting Anomalous Longitudinal Associations through Higher Order Mining∗ Liang Ping and John F. Roddick School of Computer Science, Engineering and Mathematics, Flinders University, PO Box 2100, Adelaide,