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KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 6 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
15 years 12 months ago
STAGGER: Periodicity Mining of Data Streams Using Expanding Sliding Windows
Sensor devices are becoming ubiquitous, especially in measurement and monitoring applications. Because of the real-time, append-only and semi-infinite natures of the generated se...
Mohamed G. Elfeky, Walid G. Aref, Ahmed K. Elmagar...
ICDE
2007
IEEE
133views Database» more  ICDE 2007»
16 years 7 months ago
Programming Patterns for Architecture-Level Software Optimizations on Frequent Pattern Mining
One very important application in the data mining domain is frequent pattern mining. Various authors have worked on improving the efficiency of this computation, mostly focusing o...
Mingliang Wei, Changhao Jiang, Marc Snir
ICDCS
2002
IEEE
15 years 10 months 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...
IADIS
2008
15 years 7 months ago
Ontology In Association Rules Pre-Processing And Post-Processing
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
Inhaúma Neves Ferraz, Ana Cristina Bicharra...