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» Issues in Developing Very Large Data Warehouses
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SEBD
2004
86views Database» more  SEBD 2004»
13 years 9 months ago
Dimension Compatibility for Data Mart Integration
The problem of integrating autonomous data marts arises when, e.g., a large organization (or a federation thereof) needs to combine independently developed data warehouses. It turn...
Luca Cabibbo, Riccardo Torlone
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 9 months ago
Warehousing and Analyzing Massive RFID Data Sets
Radio Frequency Identification (RFID) applications are set to play an essential role in object tracking and supply chain management systems. In the near future, it is expected tha...
Hector Gonzalez, Jiawei Han, Xiaolei Li, Diego Kla...
HIS
2004
13 years 9 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
HPDC
2010
IEEE
13 years 8 months ago
Towards long term data quality in a large scale biometrics experiment
Quality of data plays a very important role in any scientific research. In this paper we present some of the challenges that we face in managing and maintaining data quality for a...
Hoang Bui, Diane Wright, Clarence Helm, Rachel Wit...
TKDE
2002
91views more  TKDE 2002»
13 years 7 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