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» Querying Big Data by Accessing Small Data
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CVPR
2007
IEEE
16 years 27 days ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
SPAA
2006
ACM
16 years 15 days ago
Playing push vs pull: models and algorithms for disseminating dynamic data in networks
Consider a network in which a collection of source nodes maintain and periodically update data objects for a collection of sink nodes, each of which periodically accesses the data...
R. C. Chakinala, Abishek Kumarasubramanian, Kofi A...
ISMB
1997
15 years 8 months ago
Standardized Representations of the Literature: Combining Diverse Sources of Ribosomal Data
We are building a knowledge base (KB) of published structural data on the 30s ribosomal subunit in prokaryotes. Our KB is distinguished by a standardized representation of biologi...
Russ B. Altman, Neil F. Abernethy, Richard O. Chen
HPDC
2010
IEEE
15 years 7 months ago
Distributing the power of OLAP
In this paper we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data over an unstructured Peer-to-Peer overlay, wit...
Katerina Doka, Dimitrios Tsoumakos, Nectarios Kozi...
DKE
2008
79views more  DKE 2008»
15 years 6 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis