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Partition-Based Online Aggregation with Shared Sampling in the
to the final result, with the confidence interval becoming tighter over time. It has been built into a MapReduce-based cloud system for big data analytics, which allows users to monitor the query ... cloud, MapReduce, partition, online aggregation, shared sampling ... ing OLA in some MapReduce-oriented[6] cloud systems.
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IncApprox: A Data Analytics System for Incremental Approximate
Apr 11, 2016 ... Approximate computing relies on representative sampling ... data analytics system called INCAPPROX based on Apache Spark ... Big data analytics systems are an integral part of modern online services ... Moreover, in some cases, processing all data items of the .... output will remain within an error range.
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Research Paper: IncApprox: A Data Analytics System for
Apr 11, 2016 ... Approximate computing relies on representative sampling ... data analytics system called INCAPPROX based on Apache Spark ... Big data analytics systems are an integral part of modern online services ... Moreover, in some cases, processing all data items of the .... output will remain within an error range.
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Best Practices: Physical database design for data warehouse - IBM
Range partitioned tables for data availability and ... The examples illustrated throughout this paper are based on a sample data ... The IBM Smart Analytics System product incorporates the best practices for .... v If a single dimension is too large, consider a star schema design for the fact .... surrogate keys on some levels:.
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MapReduce: Simplified Data Processing on Large Clusters
ated implementation for processing and generating large data sets. Users specify a ... details of partitioning the input data, scheduling the pro- gram's execution ...
[ mapreduce-osdi04.pdf - Read/Download File

Dremel: Interactive Analysis of Web-Scale - Google Research
36th International Conference on Very Large Data Bases, September 13-17,. 2010, Singapore. .... In this section we present Dremel's data model and introduce some ... The data model is based on strongly-typed nested records. .... Figure 3: Column-striped representation of the sample data in Fig- ..... interactive range.
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A Partitioning Method for Processing Large Data Files - ResearchGate
that facilitates the processing of large data files, such as the aforementioned file. Also ... based on that analysis, you must be able to impute the rank value of any ...
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Decision Trees For Predictive Modeling - Data Mining
Aug 4, 1999 ... unless the weather cooperates and either (1) they have some extra ... trees in this article are only about data analysis. ... For an interval target, the importance of a split is ..... A recursive partitioning algorithm can create an initial structure. ... Splits deep in a large tree may be based on too little data to be ...
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Providing Flexible File-Level Data Filtering for Big Data Analytics
sampling plan based on these indexed features to filter in a small set of files, ... transparency for a wide range of existing big data analytics ... and filtering, to some extent. Although ..... responsible for a partition, VSFS organizes all index servers ..... SEARCH AND COMPUTATION (ANALYTICS) AND THE EXTRA SOURCE.
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Dissertation - Emory University
Abstract. High Performance Spatial Query Processing for Large Scale Spatial Data ... spatial queries due to the multi-dimensional nature of spatial analytics. ... While MapReduce model is amenable to a wide range of real-world ..... 6.4 Quality of partitions generated by sampling based approaches . ..... Range partition, list.
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Kangaroo: Workload-Aware Processing of Range Data and Range
Kangaroo is query workload-aware, i.e., results in partition- ing layouts that ... Hadoop has become a standard platform for big data analytics. ... partitions in case the query has some filtering criteria defined on the ... Hadoop-based system for processing range data and range queries. ...... Our data is a sample of over one.
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Expectation propagation as a way of life. - Department of Statistics
Dec 15, 2014 ... Keywords: Bayesian computation, big data, data partitioning, .... A general framework for EP-like algorithms based on iterative tilted approxima- ..... using some quadrature or importance sampling to better locate the mean and variance ... case, some extra care is required regarding the initialization of g0.
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A Survey of Large-Scale Analytical Query Processing in - SICS
temporary large-scale data analytics is MapReduce, mainly due to its salient ... suring availability, handling failures, and partitioning of input data. ... based processing, this work also aims to provide a clear overview of the ..... Data summarization and sampling ..... approach has a certain extra cost in the case where no.
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Blink and It's Done: Interactive Queries on Very Large Data - VLDB
Aug 27, 2012 ... sampling-based approximate query processing framework for run- ning interactive queries on large volumes of data. The key obser- ... range of queries up to 150× faster than Hive on MapReduce and. 10−150× faster ... of such exploratory queries include root-cause analysis and prob- lem diagnosis on ...
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Simba: Efficient In-Memory Spatial Analytics
Simba (Spatial In-Memory Big data Analytics) system, which is a distributed ... Since Simba is based on Spark, it inherits and extends Spark's fault tolerance ...
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Integration of Big Data & Cloud Computing To Detect Black Money
The Online Aggregation is a smart sampling-based method that is ... scheme for analytics of the big data that allows the user to save the money by means of killing the ... Keyword- Map Reduce, Partition Algorithm, Fast RAQ, Range- aggregate query, Tracking .... The data about the clients who gave extra three accounts in.
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csee.usf.edu
range of thirty to fifty classifiers in a committee. A second is ... show that partitioning a large original data set into N dis- joint subsets is all ... re-sampling occurs based on how well the training samples ... of the classifier, and after some number of instances (nmin) ... The amount of “extra” data included decreases as the bag ...
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A Scalable Architecture for Simplifying Full-Range Scientific Data
Some of these include large-scale satellite data and ocean flow analysis. The major .... partitioning and other parallel complexities for data-parallel analysis tasks. .... image was colored based on the year that the longest drought occurred. ..... The dataset used consists of a 500 meter resolution sampling of North and South.
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Download PDF - Journal of Machine Learning Research
thetic data and neural language models with large output spaces. ... some extra modeling flexibility, however, it comes at a price. Nearly ... rately, they share some common structure. ... the partition function and samples from the model for dif- .... closely related to other recent inference techniques based .... on the unit interval,.
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Scalability of Stochastic Gradient Descent based on “Smart
Aug 10, 2015 ... Keywords: Large-scale machine-learning, sampling schemes, stochastic ... of machine learning applications in a broad range of fields have recently lead to the ... We briefly recall some basics of the SGD method for Empirical Risk ... Based on training data {(X 1 ,Y 1 ),...,(X N ,Y N )}, the goal pursued is to find ...
[ 1-s2.0-S1877050915018116-main.pdf?_tid=9ea72272-49e0-11e5-8e1b-00000aab0f6c&acdnat=1440366658_e9d478e8c061f16036840987ae9e1656 - Read/Download File

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