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» Mining frequent itemsets in time-varying 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 ...
ICDE
2008
IEEE
154views Database» more  ICDE 2008»
15 years 11 months ago
Butterfly: Protecting Output Privacy in Stream Mining
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
Ting Wang, Ling Liu
HPCC
2007
Springer
15 years 3 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
69
Voted
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
15 years 2 months ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...
141
Voted
SIGMOD
2005
ACM
150views Database» more  SIGMOD 2005»
15 years 9 months ago
BRAID: Stream Mining through Group Lag Correlations
The goal is to monitor multiple numerical streams, and determine which pairs are correlated with lags, as well as the value of each such lag. Lag correlations (and anticorrelation...
Yasushi Sakurai, Spiros Papadimitriou, Christos Fa...