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  • International Journal Advanced Network Monitoring Controls

 

Article

Incremental Association Rule Mining Algorithm Based on Hadoop

the characteristics and structure of the B+ tree, also mentioned the one-dimensional data index structure in the database. When dealing with large amounts of data, processing efficiency can be compromised due to high server load.Therefore, this paper presents proposes an incremental association rule mining algorithm based on Hadoop load balancing. The implementation of this algorithm uses the Map/ Reduce programming model to parallelize the mining tasks, and uses load balancing to mine frequent

Zhu Ying, Wang Jianguo

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 7–16

Article

Design and Development of the Mass Image Storage Platform Based on Hadoop

With fast development and deep appliance of the Internet, problem of mass image data storage stand out, so the problem of low management efficiency, low storage ability and high cost of traditional storage framework has appeared. The appearance of Hadoop provides a new thought. However, Hadoop itself is not suit for the handle of small files. This paper puts forward a storage framework of mass image files based on Hadoop, and solved the internal storage bottleneck of NameNode when small files

Xiaoqing Zhou, Jiangjing Gou, Zhiyong Zhou, Jiaxiu Sun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 80–83

Research Article

METECLOUD: A PRIVATE CLOUD PLATFORM FOR METEOROLOGICAL DATA STORAGE USING HADOOP

With the increasing popularity of open-source platform Hadoop, the meteorological industry is available to create a Meteorological Cloud (MeteCloud) platform to store and deploy applications. In this paper, we propose an idea to build the MeteCloud platform for meteorological departments using Hadoop. We also present a backup policy for meteorological data. In addition, one kind of storage process of the meteorological A-format file is presented. Furthermore, we experiment with one-year

Xue Shengjun, Xu Xiaolong, Wang Delong, Zhang Jie, Ji Feng

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 648–663

Article

Research and Improvement of Apriori Algorithm Based on Hadoop

set must not be less than the minimum support degree; Secondly it enters into the process of strong association rule generation, and the rules need to satisfy the support and confidence thresholds at the same time; Thirdly, only all rules that contain collection items are retained. Once these rules are retained and generated, that are greater than or equal to the MinConfidence. The design of the Hadoop[5] framework originated was from an open source project developed by the Apache organization

Gao Pengfei, Wang Jianguo, Liu Pengcheng

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 100–105

Article

A Disparateness-Aware Scheduling using K-Centroids Clustering and PSO Techniques in Hadoop Cluster

Big data storage management is one of the most challenging issues for Hadoop cluster environments, since large amount of data intensive applications frequently involve a high degree of data access locality. In traditional approaches high-performance computing consists dedicated servers that are used to data storage and data replication. Therefore to solve the problems of Disparateness among the jobs and resources a “Disparateness-Aware Scheduling algorithm” is proposed in the

E. Laxmi Lydia, M.Ben Swarup

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 34–46

Article

Design and Implementation of Music Recommendation System Based on Hadoop

In order to solve the problem of information overload of music system under large data background, this paper studies the design scheme of distributed music recommendation system based on Hadoop. The proposed algorithm is based on the MapReduce distributed computing framework, which has high scalability and performance, and can be applied to the calculation and analysis of off-line data efficiently. The music recommendation system designed in this paper also includes client, server interface

Zhao Yufeng, Li Xinwei

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 126–132

Article

Improved Statistical Analysis Method Based on Big Data Technology

large amounts of data based on the Hadoop system by using its distributed storage and parallel processing mechanism.

Hongsheng Xu, Ganglong Fan, Ke Li

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 26–30

Research Article

DYNAMIC FACE RECOGNITION AND TRACKING SYSTEM USING MACHINE LEARNING IN MATLAB AND BIGDATA

Face Recognition being one of the methods in identifying individuals is getting enhanced at a faster rate. This paper demonstrates the process of detection of faces of the individuals through a live monitoring camera using matlab and also aids in tracking them. The large amount of images being collected at each second is stored in big databases like Hadoop- databases(hbase) or Mongodb as they are known for their higher processing speed. The facial features are extracted from all the images and

P.J Leo Evenss, Jennings Mcenroe .S, A.Prabhu Chakkaravarthy

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 163–173

Article

Research on Commodity Mixed Recommendation Algorithm

significance to design a big data model based on collaborative filtering. And necessary. If you want to process big data, a single computer cannot be realized, so the application of distributed architecture is particularly important. So the algorithm model is run under the Hadoop distributed framework. MapReduce is a distributed computing framework under Hadoop [2]. It uses the “divide and conquer” idea to decompose complex tasks or data into several simple tasks for parallel processing. Afterwards, it

Hao Chang, Shengquan Yang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 1–8

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