Ubiquitous Search Engine
Author(s) -
Pooja Vyas,
Archith Me,
Aditya Ravindran,
Samit Shivadekar
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/20673-3429
Subject(s) - computer science , information retrieval , world wide web
Ubiquitous Search engine is a non-conventional search engine. It is built with an intended function of finding the most influential node in a network or given data set. The objective is to find centers of influence in social networks. It can be used as a tool for data mining and analyzing it further for optimum use of the user’s benefit. The system is implemented using Hadoop and Big Data. It aims at increasing the performance of the system and rendering results in fastest possible way by implementing suitable algorithm for the same. Hadoop is used to support parallel computing whi0ch provides a base for simultaneous search on multiple machines. Big data is a large amount of data which can be analyzed and converted into useful information. The data set taken for this project is of ‘Twitter’, a micro blogging website as it uses a follower relationship rather than friend concept. General Terms Data Analysis, Search engine
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