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ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
15 years 4 months ago
iSAX 2.0: Indexing and Mining One Billion Time Series
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
Alessandro Camerra, Themis Palpanas, Jin Shieh, Ea...
BTW
2009
Springer
122views Database» more  BTW 2009»
15 years 8 months ago
Model-based Classification of Data with Time Series-valued Attributes
: Similarity search and data mining on time series databases has recently attracted much attention. In this paper, we represent a data object by several time series-valued attribut...
Christian Böhm, L. Läer, Claudia Plant, ...
CORR
2010
Springer
151views Education» more  CORR 2010»
15 years 5 months ago
A Comprehensive Survey of Data Mining-based Fraud Detection Research
This survey paper categorises, compares, and summarises from almost all published technical and review articles in automated fraud detection within the last 10 years. It defines t...
Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles,...
DEXA
2008
Springer
90views Database» more  DEXA 2008»
15 years 8 months ago
Knowledge Mining for the Business Analyst
There is an extensive literature on data mining techniques, including several applications of these techniques in the e-commerce setting. However, all previous approaches require t...
Themis Palpanas, Jakka Sairamesh
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
16 years 1 months ago
Extension of Partitional Clustering Methods for Handling Mixed Data
Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure ...
Yosr Naïja, Salem Chakhar, Kaouthar Blibech, ...