[PDF] Top 20 HadoopWeb: MapReduce Platform for Big Data Analysis

HadoopWeb: MapReduce Platform for Big Data Analysis

... various MapReduce Applications on Big Data in cloud based Hadoop cluster and concluded that the results of MapReduce Applications are dependent on the size of Hadoop ...various ... See full document

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A Survey on i2MapReduce:Incremental MapReduce for Evolving Big Data

... efficient data processing on large ...parallel data processing platforms is rising due to an explosion in the number of massive-scale data intensive applications both in industry ...web-data ... See full document

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Incremental Mapreduce In Big Data Environment

... for big data analysis. As new data and updates are being collected, the input data of a big data mining algorithm will gradually change, and the computed results will ... See full document

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Applications of MapReduce in big data concepts

... Big data analytics is challenging for storage and creating a cluster in Hadoop and using map reduce technique analysis of large data ...of data, processing and availability of ... See full document

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Big Data Clustering Using Genetic Algorithm On Hadoop Mapreduce

... Cluster analysis is used to classify similar objects under same ...important data mining methods. However, it fails to perform well for big data due to huge time ...approach. Mapreduce ... See full document

5

International Journal of Computer Science and Mobile Computing

... Abstract: MapReduce framework has become the de facto standard for large scale data-intensive ...paradigms. MapReduce – is a software framework that allows developers to write programs that process ... See full document

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MRPR: a MapReduce solution for prototype reduction in big data classification

... In addition, the NN classifier has been included as baseline limit of performance. Table 3 presents all the parameters involved in our experimental study. These parameters have been fixed according to the ... See full document

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A REVIEW: MAPREDUCE AND SPARK FOR BIG DATA ANALYTICS

... of Big Data and problem arises due to continuous explosion of data resulting from the likes of social media and other online sources to gain access to deeper analysis of their ...big ... See full document

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Text Mining Approach for Big Data Analysis Using Clustering and Classification Methodologies

... of data being produced today is so much that, how to compute, transfer and store these huge data is a prominent challenge which will bring great impact on traditional architectures and methods of ... See full document

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Analysis on Big Data and Challenges

... of data with limited computational and storage ...that data are presented to the algorithm as one or more streams of inputs that are processed in order, and only ...time-series data (news feeds, ... See full document

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Review on ‘Big Data Sentiment Analysis’

... Social media has taken a drastic boom in last few years and it has become the need of time now. Social sites like Facebook, Twitter, etc. are the digital platforms where people can express their thoughts and could make ... See full document

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A FUNDAMENTAL CONCEPT OF MAPREDUCE WITH MASSIVE FILES DATASET IN BIG DATA USING HADOOP PSEUDO-DISTRIBUTION MODE.

... We have analyzed the performance of the map reduce task with the increase number of files. We have used the word count application of the Mapreduce for this analysis. The output shows that the Bytes written ... See full document

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Effective Detection of DDOS Based on Big Data MapReduce

... on Big Data -Map Reduce: As an industry-leading anti-DDoS solutions provider, Huawei is the first vendor to apply Big Data technology to the detection and prevention of covert DDoS attacks ... See full document

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Big data clustering with varied density based on MapReduce

... of data are produced every day, such that a single machine alone cannot process this volume of data; hence, new technologies are required to store and extract information from this volume of ...of ... See full document

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On Traffic-Aware Partition and Aggregation in Mapreduce for Big Data Applications

... of data analytic ...machines, data shuffling accounts ...the analysis of SCOPE ...intermediate data are shuffled according to a hash function in Hadoop, which would lead to large network ... See full document

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MAPReduce based Cache Management for Big Data Framework

... original MapReduce programming model for provisioning incremental processing for Bigdata applications using the MapReduce ...a data-aware cache description scheme, protocol and ...Dache. ... See full document

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Abstract: Big data refers to the organizational data asset that exceeds the volume, velocity, and variety of data

... Abstract: Big data refers to the organizational data asset that exceeds the volume, velocity, and variety of data typically stored using traditional structured database ...of data has ... See full document

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ANALYSIS OF SOCIAL DATA USING BIGDATA ANALYTICAL TOOLS

... a platform to provide social relations among individuals who share common ...row data is available and which can be helpful for industrial or business ...twitter data can be analyzed and used for ... See full document

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Big Data Processing Using Hadoop MapReduce Programming Model

... processing data is a very important ...of data is not sufficient for storing large chunks of database. The data is too big, moves too fast, or doesn’t fit the structures of the current ... See full document

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Comparative Analysis Of Big Data Analytical Techniques Using Mapreduce

... divide data into groups (clus- ...massive data. Since MapReduce has the most popular cloud computing parallel framework, which can handle massive ...massive data can be solved by developing ... See full document

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