Distilling Big Data: Refining Quality Information in the Era of Yottabytes
Big Data is the buzzword of the modern century. With the invasion of pervasive computing, we live in a data centric environment, where we always leave a track of data related to our day to day activities. Be it a visit to a shopping mall or hospital or surfing Internet, we create voluminous data rel...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/453597 |
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| author | Sivaraman Ramachandramurthy Srinivasan Subramaniam Chandrasekeran Ramasamy |
| author_facet | Sivaraman Ramachandramurthy Srinivasan Subramaniam Chandrasekeran Ramasamy |
| author_sort | Sivaraman Ramachandramurthy |
| collection | DOAJ |
| description | Big Data is the buzzword of the modern century. With the invasion of pervasive computing, we live in a data centric environment, where we always leave a track of data related to our day to day activities. Be it a visit to a shopping mall or hospital or surfing Internet, we create voluminous data related to credit card transactions, user details, location information, and so on. These trails of data simply define an individual and form the backbone for user-profiling. With the mobile phones and their easy access to online social networks on the go, sensor data such as geo-taggings and events and sentiments around them contribute to the already overwhelming data containers. With reductions in the cost of storage and computational devices and with increasing proliferation of Cloud, we never felt any constraints in storing or processing such data. Eventually we end up having several exabytes of data and analysing them for their usefulness has introduced new frontiers of research. Effective distillation of these data is the need of the hour to improve the veracity of the Big Data. This research targets the utilization of the Fuzzy Bayesian process model to improve the quality of information in Big Data. |
| format | Article |
| id | doaj-art-245db1c661ed489db12c9a939aef4272 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-245db1c661ed489db12c9a939aef42722025-08-20T03:54:56ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/453597453597Distilling Big Data: Refining Quality Information in the Era of YottabytesSivaraman Ramachandramurthy0Srinivasan Subramaniam1Chandrasekeran Ramasamy2Anna University, Regional Office, Madurai 625007, IndiaDepartment of Computer Science and Engineering, Anna University, Regional Office, Madurai 625007, IndiaDepartment of Computer Science and Engineering, Annamalai University, Chidambaram 608002, IndiaBig Data is the buzzword of the modern century. With the invasion of pervasive computing, we live in a data centric environment, where we always leave a track of data related to our day to day activities. Be it a visit to a shopping mall or hospital or surfing Internet, we create voluminous data related to credit card transactions, user details, location information, and so on. These trails of data simply define an individual and form the backbone for user-profiling. With the mobile phones and their easy access to online social networks on the go, sensor data such as geo-taggings and events and sentiments around them contribute to the already overwhelming data containers. With reductions in the cost of storage and computational devices and with increasing proliferation of Cloud, we never felt any constraints in storing or processing such data. Eventually we end up having several exabytes of data and analysing them for their usefulness has introduced new frontiers of research. Effective distillation of these data is the need of the hour to improve the veracity of the Big Data. This research targets the utilization of the Fuzzy Bayesian process model to improve the quality of information in Big Data.http://dx.doi.org/10.1155/2015/453597 |
| spellingShingle | Sivaraman Ramachandramurthy Srinivasan Subramaniam Chandrasekeran Ramasamy Distilling Big Data: Refining Quality Information in the Era of Yottabytes The Scientific World Journal |
| title | Distilling Big Data: Refining Quality Information in the Era of Yottabytes |
| title_full | Distilling Big Data: Refining Quality Information in the Era of Yottabytes |
| title_fullStr | Distilling Big Data: Refining Quality Information in the Era of Yottabytes |
| title_full_unstemmed | Distilling Big Data: Refining Quality Information in the Era of Yottabytes |
| title_short | Distilling Big Data: Refining Quality Information in the Era of Yottabytes |
| title_sort | distilling big data refining quality information in the era of yottabytes |
| url | http://dx.doi.org/10.1155/2015/453597 |
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