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PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
CIB
2005
41views more  CIB 2005»
15 years 3 months ago
A Partial-Repeatability Approach to Data Mining
Unlike the data approached in traditional data mining activities, software data are featured with partial-repeatability or parepeatics, which is an invariant property that can neit...
Kai-Yuan Cai, Yunfei Yin, Shichao Zhang
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
15 years 10 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 4 months ago
On the need for time series data mining benchmarks: a survey and empirical demonstration
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...
Eamonn J. Keogh, Shruti Kasetty
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald