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DAWAK
2005
Springer
14 years 25 days ago
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Z...
EDBT
2008
ACM
99views Database» more  EDBT 2008»
14 years 7 months ago
Querying time-series streams
Index trees created using distance based indexing are difficult to maintain online since the distance function involved is often costly to compute. This problem is intensified whe...
Vivekanand Gopalkrishnan
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 9 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
SEBD
2003
144views Database» more  SEBD 2003»
13 years 8 months ago
Approximate Query Answering on Sensor Network Data Streams
Abstract. Sensor networks represent a non traditional source of information, as readings generated by sensors flow continuously, leading to an infinite stream of data. Traditiona...
Alfredo Cuzzocrea, Filippo Furfaro, Elio Masciari,...
PRIS
2004
13 years 8 months ago
Similarity Range Queries in Streaming Time Series
Similarity search in time series databases is an important research direction. Several methods have been proposed in order to provide algorithms for efficient query processing in t...
Maria Kontaki, Apostolos Papadopoulos, Yannis Mano...