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» Efficient frequent pattern mining over data streams
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ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
14 years 7 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
TKDE
2008
218views more  TKDE 2008»
14 years 9 months ago
A General Model for Sequential Pattern Mining with a Progressive Database
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-S...
104
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ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
CORR
2011
Springer
222views Education» more  CORR 2011»
14 years 1 months ago
A New Data Layout For Set Intersection on GPUs
Abstract—Set intersection is the core in a variety of problems, e.g. frequent itemset mining and sparse boolean matrix multiplication. It is well-known that large speed gains can...
Rasmus Resen Amossen, Rasmus Pagh
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang