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» Computing LTS Regression for Large Data Sets
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SIGMOD
2007
ACM
165views Database» more  SIGMOD 2007»
14 years 9 months ago
Sharing aggregate computation for distributed queries
An emerging challenge in modern distributed querying is to efficiently process multiple continuous aggregation queries simultaneously. Processing each query independently may be i...
Ryan Huebsch, Minos N. Garofalakis, Joseph M. Hell...
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 9 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
14 years 9 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
VLDB
2001
ACM
138views Database» more  VLDB 2001»
14 years 1 months ago
A Data Warehousing Architecture for Enabling Service Provisioning Process
In this paper we focus on the following problem in information management: given a large collection of recorded information and some knowledge of the process that is generating th...
Yannis Kotidis
APWEB
2004
Springer
14 years 2 months ago
Using Relational Database Constraints to Design Materialized Views in Data Warehouses
Queries to data warehouses often involve hundreds of complex aggregations over large volumes of data, and so it is infeasible to compute these queries by scanning the data sources ...
Taehee Lee, Jae-young Chang, Sang-goo Lee