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Titlebook: Innovations in Bio-Inspired Computing and Applications; Proceedings of the 6 Václav Snášel,Ajit Abraham,Azah Kamilah Muda Conference procee

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Data Centric Text Processing Using MapReduce,del is a parallel data processing approach for execution on computer clusters. This model provides an abstraction to design scalable computing algorithm for big data processing. For batch processing types of data processing, MapReduce model provides faster computation. The key/value pair generation
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Ensemble of Flexible Neural Trees for Predicting Risk in Grid Computing Environment,mains. Therefore, by assessing risk in grid computing, we can analyze possible risks for the growing consumption of computational resources of an organization and thus we can improve the organization’s computation effectiveness. In this paper, we used a function approximation tool, namely, flexible
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A Novel Approach for Malicious Node Detection in MANET,ET has limited battery power, memory, bandwidth, etc. In order to save these resources some nodes stop cooperating in the routing function. These nodes, known as malicious nodes refuse to forward data packets or drop them, thereby degrading the performance of the network. To detect such nodes, an In
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Improving the Productivity in Global Software Development, various challenges in distributing the project. As a consequence of the dispersed nature of global software development projects, communication, coordination, and control become more difficult which adversely influence effort estimation of the software development. The major ingredients that impact
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Prediction of Heart Disease Using Random Forest and Feature Subset Selection,f disease is the challenging task. Data mining can be can be used to automatically infer diagnostic rules and help specialists to make diagnosis process more reliable. Several data mining techniques are used by researchers to help health care professionals to predict the heart disease. Random forest
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Locality Aware MapReduce,and MapReduce are the two core components of Apache Hadoop. The overall performance can be increased by improving the performance of MapReduce. A Locality Aware MapReduce idea is introduced here. It includes an input splitting strategy and also a MapReduce scheduling algorithm. Both of them are base
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