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» Forecasting high-dimensional data
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ITCC
2002
IEEE
15 years 4 months ago
Performance of KDB-Trees with Query-Based Splitting
While the persistent data of many advanced database applications, such as OLAP and scientific studies, are characterized by very high dimensionality, typical queries posed on thes...
Yves Lépouchard, John L. Pfaltz, Ratko Orla...
REST
2010
ACM
15 years 4 months ago
A RESTful messaging system for asynchronous distributed processing
Traditionally, distributed computing problems have been solved by partitioning data into chunks able to be handled by commodity hardware. Such partitioning is not possible in case...
Ian Jacobi, Alexey Radul
DAWAK
2008
Springer
15 years 1 months ago
Workload-Aware Histograms for Remote Applications
Recently several database-based applications have emerged that are remote from data sources and need accurate histograms for query cardinality estimation. Traditional approaches fo...
Tanu Malik, Randal C. Burns
ACST
2006
15 years 1 months ago
Distributed hierarchical document clustering
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
Debzani Deb, M. Muztaba Fuad, Rafal A. Angryk
99
Voted
DCG
2008
104views more  DCG 2008»
14 years 12 months ago
Finding the Homology of Submanifolds with High Confidence from Random Samples
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Partha Niyogi, Stephen Smale, Shmuel Weinberger