COLLABORATIVE APPROACH FOR TREND ANALYSIS USING CLUSTERING MECHANISMS AND BIG DATA TECHNOLOGIES
Journal Title: ICTACT Journal on Soft Computing - Year 2018, Vol 8, Issue 4
Abstract
The rapid growth in technologies and social media provides us the enormous amount of data, and it opens a wider window for researchers to work on such data. One of the critical analyses of the data is to check the changing trends in data. These days, massive volumes of data are being generated and processed using Hadoop and its ecosystem tools. These tools help in fast and efficient computing of a significant amount of data. In this paper, we collaborate few popular clustering algorithms with big data technologies to analyze the usage of mobile phones and networks in various locations. We loaded and processed this dataset in Apache Hive to examine the number of users and most prominent systems in given areas, based on their location codes. Further, we compared the time taken to build the clustered model on our framework to that on Weka tool. It was observed that Weka takes comparatively longer to process the dataset. This analysis would not only help in management and segregation of a considerable amount of data but would also help mobile service providers to understand the patterns of usage by customers and network problems, which may persist in some regions.
Authors and Affiliations
Shefali Arora, Ruchi Mittal
Keywords
Related Articles
- EP ID EP532560
- DOI 10.21917/ijsc.2018.0238
- Views 59
- Downloads 0
A DYNAMIC FEATURE SELECTION METHOD FOR DOCUMENT RANKING WITH RELEVANCE FEEDBACK APPROACH
Ranking search results is essential for information retrieval and Web search. Search engines need to not only return highly relevant results, but also be fast to satisfy users. As a result, not all available features can...
AN QUALITY BASED ENHANCEMENT OF USER DATA PROTECTION VIA FUZZY RULE BASED SYSTEMS IN CLOUD ENVIRONMENT
So far, in cloud computing distinct customer is accessed and consumed enormous amount of services through web, offered by cloud service provider (CSP). However cloud is providing one of the services is, security-as-a-ser...
FOUR-LAYER SPHERICAL SELF-ORGANIZED MAPS NEURAL NETWORKS TRAINED BY RECIRCULATION TO SIMULATE PERCEPTION AND ABSTRACTION ACTIVITY - APPLICATION TO PATTERNS OF RAINFALL GLOBAL REANALYSIS
This work is intended to organize a big set of time series. To do that a self-organized map is implemented in four spherical layers trained by recirculation. This way tries to simulate aspects of perception and abstracti...
A NOVEL APPROACH FOR LONG TERM SOLAR RADIATION PREDICTION
With present stress, being laid on green energy worldwide, harnessing solar energy for commercial use has importance in sizing and long-term prediction of solar radiation. However, with continuous changing environment pa...
OPTIMIZATION OF GRID RESOURCE SCHEDULING USING PARTICLE SWARM OPTIMIZATION ALGORITHM
Job allocation process is one of the big issues in grid environment and it is one of the research areas in Grid Computing. Hence a new area of research is developed to design optimal methods. It focuses on new heuristic...