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SIGMOD
2007
ACM
136views Database» more  SIGMOD 2007»
14 years 9 months ago
Progressive optimization in a shared-nothing parallel database
Commercial enterprise data warehouses are typically implemented on parallel databases due to the inherent scalability and performance limitation of a serial architecture. Queries ...
Wook-Shin Han, Jack Ng, Volker Markl, Holger Kache...
ICDE
2007
IEEE
149views Database» more  ICDE 2007»
14 years 10 months ago
Optimizing Timestamp Management in Data Stream Management Systems
It has long been recognized that multi-stream operators, such as union and join, often have to wait idly in a temporarily blocked state, as a result of skews between the timestamp...
Yijian Bai, Hetal Thakkar, Haixun Wang, Carlo Zani...
PVLDB
2010
112views more  PVLDB 2010»
13 years 3 months ago
CODS: Evolving Data Efficiently and Scalably in Column Oriented Databases
Database evolution is the process of updating the schema of a database or data warehouse (schema evolution) and evolving the data to the updated schema (data evolution). Database ...
Ziyang Liu, Sivaramakrishnan Natarajan, Bin He, Hu...
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 2 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
PODS
2010
ACM
232views Database» more  PODS 2010»
14 years 2 months ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang