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SIGMOD
2010
ACM
186views Database» more  SIGMOD 2010»
15 years 11 months ago
Fast approximate correlation for massive time-series data
We consider the problem of computing all-pair correlations in a warehouse containing a large number (e.g., tens of thousands) of time-series (or, signals). The problem arises in a...
Abdullah Mueen, Suman Nath, Jie Liu
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 11 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
SIGMOD
1999
ACM
108views Database» more  SIGMOD 1999»
15 years 10 months ago
DynaMat: A Dynamic View Management System for Data Warehouses
Pre-computation and materialization of views with aggregate functions is a common technique in Data Warehouses. Due to the complex structure of the warehouse and the different pro...
Yannis Kotidis, Nick Roussopoulos
ISCA
1998
IEEE
129views Hardware» more  ISCA 1998»
15 years 10 months ago
Memory System Characterization of Commercial Workloads
Commercial applications such as databases and Web servers constitute the largest and fastest-growing segment of the market for multiprocessor servers. Ongoing innovations in disk ...
Luiz André Barroso, Kourosh Gharachorloo, E...
KDD
2000
ACM
101views Data Mining» more  KDD 2000»
15 years 10 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro