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CIKM
2009
Springer
13 years 11 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
14 years 2 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia
BIOSTEC
2008
162views Healthcare» more  BIOSTEC 2008»
13 years 9 months ago
On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining
This paper proposes a framework for mining market basket data to generate Nutritional Patterns (NPs) and a method for analysing generated nutritional patterns using F...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
CIKM
2010
Springer
13 years 6 months ago
Preference query evaluation over expensive attributes
Most database systems allow query processing over attributes that are derived at query runtime (e.g., user-defined functions and remote data calls to web services), making them e...
Justin J. Levandoski, Mohamed F. Mokbel, Mohamed E...
ACSW
2007
13 years 9 months ago
Controlling Inference: Avoiding P-level Reduction during Analysis
This paper presents a concept hierarchy-based approach to privacy preserving data collection for data mining called the P-level model. The P-level model allows data providers to d...
Adepele Williams, Ken Barker