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FOCS
2005
IEEE
15 years 11 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
EDBT
2009
ACM
160views Database» more  EDBT 2009»
15 years 10 months ago
Estimating aggregates in time-constrained approximate queries in Oracle
The concept of time-constrained SQL queries was introduced to address the problem of long-running SQL queries. A key approach adopted for supporting time-constrained SQL queries i...
Ying Hu, Seema Sundara, Jagannathan Srinivasan
IQIS
2007
ACM
15 years 7 months ago
Accuracy of Approximate String Joins Using Grams
Approximate join is an important part of many data cleaning and integration methodologies. Various similarity measures have been proposed for accurate and efficient matching of st...
Oktie Hassanzadeh, Mohammad Sadoghi, Renée ...
DAGSTUHL
2007
15 years 7 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
15 years 7 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...