Results 1 - 10 of 23,224

Energy and Water Cycle Experiment-Surface Radiation Budget (GEWEX-SRB) and

by Zhuoqi Chen
"... [1] This paper presents a scheme to examine the accuracy of albedos used in two operational satellite-based radiation data sets over the Tibetan Plateau (TP): the Global ..."
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[1] This paper presents a scheme to examine the accuracy of albedos used in two operational satellite-based radiation data sets over the Tibetan Plateau (TP): the Global

The Skyline Operator

by Stephan Börzsönyi, Donald Kossmann, Konrad Stocker - IN ICDE , 2001
"... We propose to extend database systems by a Skyline operation. This operation filters out a set of interesting points from a potentially large set of data points. A point is interesting if it is not dominated by any other point. For example, a hotel might be interesting for somebody traveling to Nass ..."
Abstract - Cited by 567 (3 self) - Add to MetaCart
We propose to extend database systems by a Skyline operation. This operation filters out a set of interesting points from a potentially large set of data points. A point is interesting if it is not dominated by any other point. For example, a hotel might be interesting for somebody traveling

Data cube: A relational aggregation operator generalizing group-by, cross-tab, and sub-totals

by Jim Gray, Adam Bosworth, Andrew Layman, Don Reichart, Hamid Pirahesh , 1996
"... Abstract. Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce zero-dimensional or one-dimensional aggregates. Applications need the N-dimensional generalization of these op ..."
Abstract - Cited by 860 (11 self) - Add to MetaCart
in more complex non-procedural data analysis programs. The cube operator treats each of the N aggregation attributes as a dimension of N-space. The aggregate of a particular set of attribute values is a point in this space. The set of points forms an N-dimensional cube. Super-aggregates are computed

A comparison of bayesian methods for haplotype reconstruction from population genotype data.

by Matthew Stephens , Peter Donnelly , Dr Matthew Stephens - Am J Hum Genet , 2003
"... In this report, we compare and contrast three previously published Bayesian methods for inferring haplotypes from genotype data in a population sample. We review the methods, emphasizing the differences between them in terms of both the models ("priors") they use and the computational str ..."
Abstract - Cited by 557 (7 self) - Add to MetaCart
operates through the transmission of chromosomal segments. Experimental methods for haplotype determination exist, but they are currently timeconsuming and expensive. Statistical methods for inferring haplotypes are therefore of considerable interest. In some studies, data may be available on related

Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late Nineteenth Century

by N. A. Rayner, D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, A. Kaplan - J. GEOPHYSICAL RESEARCH , 2003
"... ... data set, HadISST1, and the nighttime marine air temperature (NMAT) data set, HadMAT1. HadISST1 replaces the global sea ice and sea surface temperature (GISST) data sets and is a unique combination of monthly globally complete fields of SST and sea ice concentration on a 1 ° latitude-longitude g ..."
Abstract - Cited by 539 (4 self) - Add to MetaCart
... data set, HadISST1, and the nighttime marine air temperature (NMAT) data set, HadMAT1. HadISST1 replaces the global sea ice and sea surface temperature (GISST) data sets and is a unique combination of monthly globally complete fields of SST and sea ice concentration on a 1 ° latitude

On the Use of Windows for Harmonic Analysis With the Discrete Fourier Transform

by Fredric J. Harris - Proc. IEEE , 1978
"... Ahmw-This Pw!r mak = available a concise review of data win- compromise consists of applying windows to the sampled daws pad the ^ affect On the Of in the data set, or equivalently, smoothing the spectral samples. '7 of aoise9 m the ptesence of sdroag bar- The two operations to which we subject ..."
Abstract - Cited by 668 (0 self) - Add to MetaCart
Ahmw-This Pw!r mak = available a concise review of data win- compromise consists of applying windows to the sampled daws pad the ^ affect On the Of in the data set, or equivalently, smoothing the spectral samples. '7 of aoise9 m the ptesence of sdroag bar- The two operations to which we

OPTICS: Ordering Points To Identify the Clustering Structure

by Mihael Ankerst, Markus M. Breunig, Hans-peter Kriegel, Jörg Sander , 1999
"... Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysis and data processing, or as a preprocessing step for other algorithms operating on the detected clusters. Almost all of ..."
Abstract - Cited by 527 (51 self) - Add to MetaCart
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysis and data processing, or as a preprocessing step for other algorithms operating on the detected clusters. Almost all

ANALYSIS OF WIRELESS SENSOR NETWORKS FOR HABITAT MONITORING

by Joseph Polastre, Robert Szewczyk, Alan Mainwaring, David Culler, John Anderson , 2004
"... We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet the require ..."
Abstract - Cited by 1490 (19 self) - Add to MetaCart
data is also useful for predicting system operation and network failures. Based on over one million 2 Polastre et. al. data readings, we analyze the node and network design and develop network reliability profiles and failure models.

Query evaluation techniques for large databases

by Goetz Graefe - ACM COMPUTING SURVEYS , 1993
"... Database management systems will continue to manage large data volumes. Thus, efficient algorithms for accessing and manipulating large sets and sequences will be required to provide acceptable performance. The advent of object-oriented and extensible database systems will not solve this problem. On ..."
Abstract - Cited by 767 (11 self) - Add to MetaCart
-relational database systems, including iterative execution of complex query evaluation plans, the duality of sort- and hash-based set matching algorithms, types of parallel query execution and their implementation, and special operators for emerging database application domains.

Live Migration of Virtual Machines

by Christopher Clark, Keir Fraser, Steven H, Jakob Gorm Hansen, Eric Jul, Christian Limpach, Ian Pratt, Andrew Warfield - In Proceedings of the 2nd ACM/USENIX Symposium on Networked Systems Design and Implementation (NSDI , 2005
"... Migrating operating system instances across distinct physical hosts is a useful tool for administrators of data centers and clusters: It allows a clean separation between hardware and software, and facilitates fault management, load balancing, and low-level system maintenance. By carrying out the ma ..."
Abstract - Cited by 636 (15 self) - Add to MetaCart
Migrating operating system instances across distinct physical hosts is a useful tool for administrators of data centers and clusters: It allows a clean separation between hardware and software, and facilitates fault management, load balancing, and low-level system maintenance. By carrying out
Results 1 - 10 of 23,224