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» Discovering frequent patterns in sensitive data
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BMEI
2008
IEEE
14 years 2 months ago
Discovering Multi-dimensional Major Medicines from Traditional Chinese Medicine Prescriptions
Multi-dimensional major medicines analysis is one of the most important tasks in the data analysis of Traditional Chinese Medicine (TCM) prescriptions. In this paper, an effective...
Chuan Li, Changjie Tang, Chunqiu Zeng, Jiang Wu, Y...
ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 1 months ago
Zonal Co-location Pattern Discovery with Dynamic Parameters
Zonal co-location patterns represent subsets of featuretypes that are frequently located in a subset of space (i.e., zone). Discovering zonal spatial co-location patterns is an im...
Mete Celik, James M. Kang, Shashi Shekhar
ADBIS
2000
Springer
88views Database» more  ADBIS 2000»
13 years 12 months ago
Finding Generalized Path Patterns for Web Log Data Mining
Conducting data mining on logs of web servers involves the determination of frequently occurring access sequences. We examine the problem of finding traversal patterns from web lo...
Alexandros Nanopoulos, Yannis Manolopoulos
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
13 years 7 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
ICDCS
2002
IEEE
14 years 13 days ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...