hadoop IEEE PAPER 2018
Hadoop Periodic Jobs Using Data Blocks to Achieve Efficiency
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ABSTRACT To manage, process, and analyze very large datasets, HADOOP has been a powerful, fault-tolerant platform. HADOOPis used to access big data because it is effective, scalable and is well supported by large trafficker and user communities. This research paper
Stock Market Prediction System using Hadoop
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ABSTRACT : Stock Market has high profit and high risk features that s why its prediction must be in parallel of accuracy. Stock Market contains very huge amount of data that is working in terabytes and petabytes, these are very complex and can be learned by a data mining
Architecture Design for Hadoop No-SQL and Hive
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ABSTRACT Big data came into existence when the traditional relational database systems were not able to handle the unstructured data (weblogs, videos, photos, social updates, human behaviour) generated today by organisation, social media, or from any other data
Comparitive Study of Hadoop over Containers and Hadoop Over Virtual Machine
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ABSTRACT Purpose-The purpose of this paper is to elaborate the concept of Containerization which enables usage of Hadoop Infrastructure on a container which can allow clusters to run rapidly fast and accessible manner and it can be used for installing, processing and
Security Issues of Big Data Hadoop
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In this we discuss security issues for big data Hadoop environment. Big data applications are a great benefit to organization, business and in many small and large scale industries. Security and privacy issues are magnified by velocity, variety and volume of big data
Analyse Big Data Electronic Health Records Database using Hadoop Cluster
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ABSTRACT -Big data and the related technologies have improved health care enormously, from understanding the origins of diseases, better diagnoses, helping patients to monitor their own conditions. By digitizing, combining effectively using big data, healthcare
SECURING MAPREDUCE PROGRAMMING PARADIGM IN HADOOP CLOUD AND BIG DATA ECO-SYSTEM.
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ABSTRACT In the wake of technologies like cloud computing, virtualization and big data, MapReduce is the new programming paradigm used for processing voluminous data known as big data. MapReduce computations take place in thousands of commodity computers
Implementing a parallel image edge detection algorithm based on the Otsu-Canny operator on the Hadoop platform
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ABSTRACT The Canny operator is widely used to detect edges in images. However, as the size of the image dataset increases, the edge detection performance of the Canny operator decreases and its runtime becomes excessive. To improve the runtime and edge detection
A COMPARATIVE STUDY OF HADOOP 1 AND HADOOP 2
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ABSTRACT : Big Data is the greatest popular expressions around right now and unquestionably enormous information will change the world. Big Data alludes to informational collections that are too huge to possibly be handled and analyzed by
JOURNAL OF ENGINEERING SCIENCESRESEARCH TECHNOLOGY IMPROVING PERFORMANCE OF DATA IN HADOOP CLUSTERS USING DYNAMIC
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ABSTRACT Big data refers to various forms of large information sets that require special computational platforms in order to be analyzed. Research on big data emerged in the 1970s but has seen an explosion of publications since 2008. The Apache Hadoop software
A Data-Grouping-Aware Multiple Input Files Data Placement Method that Take into Account Jobs Execute Frequency for Hadoop
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ABSTRACT : Recent years have seen an increasing number of scientists employ data parallel computing frameworks such as Hadoop to run data intensive applications. Research of Data- Grouping-Aware multiple input files data placement for Hadoop have become increasingly
Hadoop Formed Adaptive Duplication Controlling on Managed Knowledge
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ABSTRACT The increasing and complexity Hadoop formed required for context awareness makes such applications difficult to write and adapt. In this paper, we present an architecture for duplicate packets building context aware applications as dynamically composed
Monitoring Cross User Client Side Data Duplication in Hadoop
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ABSTRACT Hadoop is Java based programming system for dispersed capacity and handling of vast informational collections on product equipment. It is produced by Apache Software Foundation as open source structure. Hadoop fundamentally has two primary
BIG DATA ANALYTICS USING HADOOP TECHNOLOGY
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ABSTRACT : Big data is a technique used to store, distribute and the datasets which are large sized are analyzed with high velocity. Big data can be taken in the form of structured, unstructured or semi-structured which results in incapability of conventional data
Privacy Preserving Enriched Map Reduce for Hadoop Based Big Data Applications
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ABSTRACT : Data mining gradually became big data mining as the enterprises are causing exponential growth of data. Comprehensive mining of such data can bestow accurate business intelligence. Towards this end big data mining has become a new buzz word in the
Intensive Processing Big Data With Map-Reduce Using Framework Hadoop
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ABSTRACT Big Data is a technology system that is introduced to overcome theinformation explosionin line with the growing ecosystem of users of mobile devices and internet data. The growth of mobile devices and internet data turned out to be greatly influenced the
HHH-A Hyped-up Handling of Hadoop based SAMR-MST for DDOS Attacks in Cloud
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ABSTRACT - Hadoop is a cloud framework that supports the processing of large datasets in a distributed computing environment. Mapreduce technique is being used in hadoop for processing and generating large datasets. A key benefit of mapreduce is that it automatically
A NOVEL APPROACH FOR FREQUENT DATA PARTITIONING USING PARALLEL MINING ITEMSETS AND HADOOP
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ABSTRACT Parallel traditional algorithms are used for mining frequent itemsets. Traditional parallel mining algorithms partition the data equal among a group of computing nodes. Existing parallel Frequent Itemset Mining algorithms have serious performance problems
Statistical Analysis of Big Data Using Hadoop : A Review
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ABSTRACT :-Data analysis is the combination of concepts, tools and algorithms of machine learning and statistics to analyze very large data sets, so as to gain insight, understanding and effective knowledge and it is applied for this purpose in many companies. There is no
3-D Face Image identification from video streaming using Map Reduce ( Hadoop )
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ABSTRACT This paper focuses on the massive face identification system. I want to recognize a face from a lot of faces at public places. There are two of techniques are used to hit the goal: one is the 3Dface identification technique and the other is the Hadoop detection CSE PROJECTS