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PODS
2011
ACM
238views Database» more  PODS 2011»
14 years 9 months ago
Beyond simple aggregates: indexing for summary queries
Database queries can be broadly classified into two categories: reporting queries and aggregation queries. The former retrieves a collection of records from the database that mat...
Zhewei Wei, Ke Yi
ICDE
2009
IEEE
121views Database» more  ICDE 2009»
16 years 8 months ago
Holistic Query Transformations for Dynamic Web Applications
A promising approach to scaling Web applications is to distribute the server infrastructure on which they run. This approach, unfortunately, can introduce latency between the appl...
Amit Manjhi, Charles Garrod, Bruce M. Maggs, Todd ...
ICDE
2006
IEEE
188views Database» more  ICDE 2006»
16 years 7 months ago
Efficiently Evaluating Order Preserving Similarity Queries over Historical Market-Basket Data
We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...
Reza Sherkat, Davood Rafiei
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
16 years 6 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 3 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He