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large data volume processing

Simulation to maximize retransmission of packets in WMSN

Simulation to maximize retransmission of packets in WMSN

... The large volume of the multimedia data is given by the sensor nodes, both processing and transmission of data leads to higher levels of energy consumption than in any other types of ...

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High speed, high volume, optimal image subtraction for large volume astronomical data pipelines

High speed, high volume, optimal image subtraction for large volume astronomical data pipelines

... astronomy data acquisition rates are growing as fast or ...science data per night in need of reduction and ...image processing techniques provides a present and practical solution to this data ...

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Performing Customer Behavior Analysis using Big Data Analytics

Performing Customer Behavior Analysis using Big Data Analytics

... Big data is a collection of unstructured data that has very large volume, comes from variety of sources like web ,business organizations ...makes processing complex and tedious using ...

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An Efficient Methodology To Sort Large Volume Of Data

An Efficient Methodology To Sort Large Volume Of Data

... basic data processing technique that is used in all day-day ...in data acquisition and storage, Sorting requires improvement to minimize time taken for processing, response time and space ...

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Survey on Hadoop and Introduction to YARN

Survey on Hadoop and Introduction to YARN

... Big Data, the analysis of large quantities of data to gain new insight has become a ubiquitous phrase in recent ...the data is growing at a staggering ...Big Data is Hadoop, which will ...

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Evolution Mining: A Novel Accelerated Framework for Large Data processing in the big Data Paradigm

Evolution Mining: A Novel Accelerated Framework for Large Data processing in the big Data Paradigm

... of data updates and data evolution is exploiting in the cloud based server which consider as big data ...Big Data is manifested in three different issues such as velocity, Variety and ...

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A Large Volume of Data Handling Activity: Review of Knowledge Discovery Process

A Large Volume of Data Handling Activity: Review of Knowledge Discovery Process

... the data mining ...instance, data cleaning and data integration can be performed together as a pre processing phase to generate an data ...and data transformation can also be ...

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Design and Analysis of Large Data Processing Techniques

Design and Analysis of Large Data Processing Techniques

... Sensor Data Analytics - When the data from the different sources is collected then it can be multi-media files like video, photo and audio, from which important conclusions for the business can be ...the ...

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Real-Time Big Data Analytics using Hadoop

Real-Time Big Data Analytics using Hadoop

... a large volume of data from different ...Big Data is the collection of this field’s information. Big Data contains high volume, velocity and high variety of ...example ...

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Building Efficient Large-Scale Big Data Processing Platforms

Building Efficient Large-Scale Big Data Processing Platforms

... big data, we envision that large-scale big data computing systems become ubiquitous to serve a variety of applications and ...big data processing has shown the potential of benefiting ...

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Using Very Large Volume Data Sets for Collaborative Systems Study

Using Very Large Volume Data Sets for Collaborative Systems Study

... Document processing involves extracting in- formation contained in the data fields and converts them to series-bit format that allows storing them in a ...Forms processing is considered complete when ...

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A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure

A Large-Scale Web Data Collection as a Natural Language Processing Infrastructure

... After selecting Japanese web pages, we have converted these web pages into Web standard format data through the conversion procedure described in Section 2.2. As results of existing NLP tools, we added the results ...

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A Peer-To-Peer based Large-Scale Data  processing Using MapReduce

A Peer-To-Peer based Large-Scale Data processing Using MapReduce

... develop data sharing service in shared ...flexible data sharing services for the industrial network functions in the cloud based on BestPeer a peer-to-peer (P2P) based data administration ...query ...

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ObspyDMT: a Python toolbox for retrieving and processing large seismological data sets

ObspyDMT: a Python toolbox for retrieving and processing large seismological data sets

... older data request protocol that arose in Europe in order to virtually consolidate distributed seis- mological data holdings across various European ...waveform data in miniSEED or SEED format and ...

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Comparison of Methods for Processing Missing Values in Large Sample Survey Data

Comparison of Methods for Processing Missing Values in Large Sample Survey Data

... missing data mechanisms are generally classified into three main categories which are missing completely at random (MCAR), missing at random (MAR) and missing not at random (MNAR) ...missing data mechanisms ...

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Hadoop and Its Role in Modern Image Processing

Hadoop and Its Role in Modern Image Processing

... perform data pro- cessing independently and in parallel by running Map function ...the data available on one ...final processing on the results and the result of user’s request would be saved in a ...

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ABSTRACT

ABSTRACT

... lacks data analysis (Tukey, 1962; Nolan and Temple Lang, 2010). Real data analysis makes the discipline more concrete to ...Teaching data analysis is challenging but it’s challenging in the way that ...

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Large Scale Data Munging using SparkR

Large Scale Data Munging using SparkR

... the data in the world has been generated over the last two ...with data that can be aggregated and analyzed. Big Data and Distributed Computing is the next essential thing that the companies have to ...

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Chapter 6 A Survey of Load Balancing Techniques for Data Intensive Computing

Chapter 6 A Survey of Load Balancing Techniques for Data Intensive Computing

... a large number of messages are being exchanged and also in situations where the network connecting the processing elements is bogged down resulting in higher ...

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On Distributed Deep Network for Processing Large-Scale Sets of Complex Data

On Distributed Deep Network for Processing Large-Scale Sets of Complex Data

... years that makes the training of modestly sized deep networks practical. A known limitation of the GPU approach is that the training speed-up is small when the model does not fit in GPU memory (typically less than 6 ...

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