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» Using Classifiers to Solve Warehouse Location Problems
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ICDE
2009
IEEE
140views Database» more  ICDE 2009»
15 years 11 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
TKDE
2002
91views more  TKDE 2002»
14 years 9 months ago
The EVE Approach: View Synchronization in Dynamic Distributed Environments
The construction and maintenance of data warehouses (views) in large-scale environments composed of numerous distributed and evolving information sources (ISs) such as the WWW has ...
Amy J. Lee, Anisoara Nica, Elke A. Rundensteiner
INFOCOM
2010
IEEE
14 years 8 months ago
Compressive Sensing Based Positioning Using RSS of WLAN Access Points
Abstract— The sparse nature of location finding problem makes the theory of compressive sensing desirable for indoor positioning in Wireless Local Area Networks (WLANs). In this...
Chen Feng, Wain Sy Anthea Au, Shahrokh Valaee, Zhe...
NDSS
2003
IEEE
15 years 3 months ago
Integrating Security, Mobility and Multi-Homing in a HIP Way
The current trend in mobile networking is towards mobile hosts that have multiple network interfaces, e.g., WLAN and GPRS. However, when the current Internet architecture was orig...
Pekka Nikander, Jukka Ylitalo, Jorma Wall
CAI
2006
Springer
14 years 10 months ago
Symbolic Explanation of Similarities in Case-based Reasoning
CBR systems solve problems by assessing their similarity with already solved problems (cases). Explanation of a CBR system prediction usually consists of showing the user the set o...
Eva Armengol, Enric Plaza