[PDF] Top 20 Hadoop Based Map Reducing In Social Networks
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Hadoop Based Map Reducing In Social Networks
... [3]Emad A Mohammed et al.(2014) Proposed a the emergence of massive datasets in a clinical setting presents both challenges and opportunities in data storage and analysis. This so called “big data” challenges traditional ... See full document
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Hadoop and Map Reduce Approach of Big Data
... Systems. Hadoop is based on a simple data model, any data will ...information. Hadoop Map Reduce is a technique which analysis big ...between Hadoop based system and non ... See full document
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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... self-organizing map for clustering social networks (SOMSN) is proposed for detecting such ...is based on self-organizing map neural ...a social network is divided into different ... See full document
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Medical application of privacy preservation by big data analysis using Hadoop map reduce framework
... in optimizing software for energy efficiency by exploiting application-level knowledge. To address these challenges, we propose the development of automated tools that profile the energy usage of various resource ... See full document
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Map Reduce a Programming Model for Cloud Computing Based On Hadoop Ecosystem
... then reducing over all pairs with the same ...In Hadoop, data can originate in any form, but in order to be analyzed by MapReduce software, it needs to eventually be transformed into key/value ... See full document
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A Review of Hadoop Ecosystem for BigData
... Therefore Hadoop technology designed to process Big Data. Hadoop is the platform in businesses for Big Data ...processing. Hadoop is an open source, Java-based programming framework which ... See full document
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A Survey on Eat-Out Recommender in Hadoop
... user based collaborative filtering algorithm and item based collaborating filtering algorithm with the single node and multiple node ...Thus Hadoop works well for large amount of ... See full document
5
Overview of Cloud Technologies and Parallel Programming Frameworks for Scientific Applications
... • Apache Implementation of Google’s MapReduce • Hadoop Distributed File System HDFS manage data • Map/Reduce tasks are scheduled based on data locality in HDFS replicated data blocks.. •[r] ... See full document
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Hadoop Map Reduce Framework for Automated Banking System
... In this paper we have presented the automated banking management system which is developed on abstraction of Hadoop map reduce framework. The date which is to be analyzed is semi-structured data. The ... See full document
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Big Data Analytics using Hadoop Technology
... data based on past ...of social complexities of unknown future scenarios through computer simulations that are based on collection of mutually interdependent ... See full document
5
Big Data with Hadoop – For Data Management, Processing and Storing
... Companies across the globe have been using data for a long time to help them make better decisions in order to enhance their performances. It is the inaugural decade of the 21st century that actually showcased a rapid ... See full document
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REAL TIME FACIAL EXPRESSION RECOGNITION IN THE PRESENCE OF ROTATION AND PARTIAL OCCLUSIONS
... manufacturing technology. In the survey [51] an extensive, quantitative comparison is presented, etc. The latest researches of the sentiment classification are [55-65]. In the research [55], the authors present their ... See full document
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An agent based method for predicting monthly maximum & minimum quote prices
... In many real problems such as predicting stock prices, the time contains important information. The interpretation of a feature in a data could strongly depend on the earlier features and on the time they appear. We want ... See full document
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IMPROVED FAIR SCHEDULING ALGORITHM FOR TASKTRACKER IN HADOOP MAP-REDUCE
... their Hadoop cluster, which runs several large jobs computing user metrics, ...of Map and Reduce ...manner, based on their priority within their pool, and the cluster capacity and usage of their ... See full document
7
The Determinants of Migration: Household and Community Networks: An Application to Mexico and other Central American Countries
... community-level networks are only a consequence of migration until a threshold is ...household-level networks and open the doors to new groups of potential ... See full document
179
Design and analysis of a general data evaluation system based on social networks
... techniques based on the devel- opment of BP neural network and radial basis function (RBF) neural network models, for modeling and predict- ing the daily network traffic at Universities East Kali- mantan, ... See full document
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INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK
... Organizing Map algorithm, a testing data set and a training data set with the multi-dimensional vectors based on the sentiment lexicons of the bESD is performed in the Cloudera parallel network environment ... See full document
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PARALLEL AND SCALABALE RULES BASED CLASSIFIER USING MAP-REDUCE PARADIGM ON HADOOP CLOUD
... on hadoop is a major challenge. Hadoop was inspired by MapReduce, designed to handle petabytes and Exabyte‟s of data distributed over multiple nodes in ...parallel. Hadoop architecture includes ... See full document
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Towards a Collective Layer in the Big Data Stack
... Implementations • H-Collectives : Map-Collectives for Apache Hadoop – Node-level data aggregations and caching – Speculative iteration scheduling – Hadoop Mappers with only very minimal [r] ... See full document
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Study on K-Means Clustering using MapR in Hadoop
... Machine Learning: Machine Learning is a type of AI that empowers a framework to gain from information instead of through express/explicit programming. In any case, AI is anything but a basic procedure. AI utilizes an ... See full document
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