As data sets grow in size and complexity, global analysis methods do not necessarily characterize the phenomena of interest, and scientists are increasingly reliant on feature-based analysis methods to study the results of large-scale simulations. This chapter presents a framework that efficiently ...
并行数据库系统投入商业化使用都已经快20年了,同时市场上也存在了一打的产品,包括Teradata,Aster Data,Netezza,DATAllegro,Dataupia,Vertica,ParAccel,Neoview,Greenplum,DB2(通过数据库分区特性),Oracle(通过Exadata)。它们都是很健壮的高性能计算平台。与MapReduce类似,它们也提供了高级的编程环境和方便的并行化。尽管看...
Large-scale data analysis methods 优质文献 相似文献Large-Scale Neural Ensembles in Mice: Methods for Recording and Data Analysis Hui KuangJoe Z. TsienHumana PressNeuromethodsKuang, H.; Tsien, J.Z. Large-Scale Neural Ensembles in Mice: Methods for Recording and Data Analysis. ... K Hui,JZ ...
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Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R (Deprecated), and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQ...
PDACS: A Portal for Data Analysis Services for Cosmological Simulations A Web-based analysis portal provides access both t Madduri,Ravi,Malik,... - 《Computing in Science & Engineering》 被引量: 7发表: 2015年 Computational neuroscience gateway: A science gateway based on the WS-PGRADE/gUSE ...
As part of the Advanced Databases Project, we propose to perform Data Analysis of YouTube data. We extracted data of 5 Million Video records from YouTube API and performed Data Analysis on the data to insight into latest trends and user engagement in YouTube with respect to Categories and Ye...
网络大规模数据 网络释义 1. 大规模数据 物联网下产生的数据数量规模大,它已经不是过去大规模数据(large scale data)、庞大数据(enormous data)、海量数据(… www.uuubuy.com|基于8个网页 释义: 全部,大规模数据
Analysis of large-scale data from human activities on the web. This work focuses on data mining and machine learning using large-scale datasets, with an emphasis on Web information, social computing, and on-line social... L Backstrom - Cornell University.; 被引量: 0发表: 2009年 Scale ...
our data analysis shows that local power failures have a disproportionally large non-local impact on people (that is, the top 20% of failures interrupted 84% of services to customers). A large number (89%) of small failures, represented by the bottom 34% of customers and commonplace devices...