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ICASSP
2011
IEEE
14 years 10 months ago
Detecting human activities in retail surveillance using hierarchical finite state machine
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detecti...
Hoang Trinh, Quanfu Fan, Jiyan Pan, Prasad Gabbur,...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 6 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
ICSM
2003
IEEE
15 years 11 months ago
Software Architecture Recovery based on Pattern Matching
This paper is a summary of the author’s thesis that presents a model and an environment for recovering the high level design of legacy software systems based on user defined ar...
Kamran Sartipi
IEEEICCI
2002
IEEE
15 years 11 months ago
Mining Fuzzy Rules in A Donor Database for Direct Marketing by a Charitable Organization
Given a donor database by a charitable organization in Hong Kong, we propose to use a new data mining technique to discover fuzzy rules for direct marketing. The discovered fuzzy ...
Keith C. C. Chan, Wai-Ho Au, Berry Choi
FIMI
2003
170views Data Mining» more  FIMI 2003»
15 years 7 months ago
kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...