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» Modeling skew in data streams
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SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 7 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
13 years 8 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
VLDB
1991
ACM
145views Database» more  VLDB 1991»
13 years 11 months ago
A Taxonomy and Performance Model of Data Skew Effects in Parallel Joins
Recent work on parallel joins and data skew has concentrated on algorithm design without considering the causes and chara.cteristics of data. skew itself. Existming ana.lyt,ic mod...
Christopher B. Walton, Alfred G. Dale, Roy M. Jene...
ICDE
2007
IEEE
149views Database» more  ICDE 2007»
14 years 8 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...
VLDB
1991
ACM
143views Database» more  VLDB 1991»
13 years 11 months ago
Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning
Shared nothing multiprocessor archit.ecture is known t.obe more scalable to support very large databases. Compared to other join strategies, a hash-ba9ed join algorithm is particu...
Kien A. Hua, Chiang Lee