dc.contributor.author |
Newaz, Md. Asif |
|
dc.contributor.author |
Karim, Jannat Laila |
|
dc.contributor.author |
Majumder, Hemal |
|
dc.date.accessioned |
2019-03-21T10:11:53Z |
|
dc.date.available |
2019-03-21T10:11:53Z |
|
dc.date.issued |
2018-12-24 |
|
dc.identifier.uri |
http://dspace.ewubd.edu/handle/2525/3015 |
|
dc.description |
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. |
en_US |
dc.description.abstract |
In these paper, recent developments on the impact of newly developed Big Data as on
manufacturing information systems is especially discussed. There is a misconception that Big
Data only used for business. It’s not true. Big Data also has social and medical benefits. We
consider breast cancer data for know about the death reasons on breast cancer. Second highest
cause of cancer death among Women in the worldwide is breast cancer. We collect data of breast
cancer patients. This data has volume, variety, velocity and veracity. From this 4V we generated
the 5th V (value). Big knowledge may be a new driver of the globe economic and social
group changes. Though huge data is wide mentioned in theoretical manners, there's a deficiency
in publications and sources dedicated to its sensible usage. We want to storage
these large amounts of information for our future prediction. If we have a tendency to lose
our knowledge we have a tendency to lost our necessary data. The information complexities are
increasing together with data’s volume, variety, rate and truthfulness, the important impact
hinges on our ability to uncover the `value’ within the knowledge through huge knowledge
Analytics technologies. Big Data Analytics poses a grand challenge on the
look of extremely scalable algorithms and systems to integrate the information and
uncover massive hidden values from datasets that are various, complex, and of an
enormous scale. Huge knowledge analytics (BDA) has been known as an essential technology to
support knowledge acquisition, storage, and analytics in knowledge management systems
in trendy manufacturing |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
East West University |
en_US |
dc.relation.ispartofseries |
;CSE00181 |
|
dc.subject |
Big Data, data analysis, python, jupyterlab |
en_US |
dc.title |
Study on Big Data Analytics: Breast Cancer Perspective |
en_US |
dc.type |
Thesis |
en_US |