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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
14 years 1 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
BMCBI
2004
190views more  BMCBI 2004»
13 years 9 months ago
RAG: RNA-As-Graphs web resource
Background: The proliferation of structural and functional studies of RNA has revealed an increasing range of RNA's structural repertoire. Toward the objective of systematic ...
Daniela Fera, Namhee Kim, Nahum Shiffeldrim, Julie...
ICDE
2012
IEEE
238views Database» more  ICDE 2012»
11 years 11 months ago
Mining Knowledge from Data: An Information Network Analysis Approach
Abstract—Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semistructured information networks. However, many database research...
Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 10 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 9 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...