DocumentCode
3667998
Title
Challenges with big data mining: A review
Author
Libina Rose Sebastian;Sheeba Babu;Jubilant J Kizhakkethottam
Author_Institution
Dept. of Computer Science and Engineering, St. Joseph´s College of Engineering and Technology, Palai, Kerala, India
fYear
2015
Firstpage
1
Lastpage
4
Abstract
Big data is a collection of datasets which are so large and complex. Data sets are growing day by day and sharing, transfer, capture, storage, etc. are the main challenges in Big Data. Data mining discovers patterns from a large data set. Data mining with Big data is a complex task. HACE theorem is proposed which finds Complex and Evolving relationships among data. It finds the characteristics of Big data. Big Data-related applications, such as Google, Flicker, Facebook, etc. have a large number of server farms. Cloud computing provides large server services and share resources. By using a number of servers, users can use on-demand services without interruption. Twitter enables users to send and read texts called “Tweets”. By analyzing tweets the stock market can be predicted. It is possible to spread information to the peoples who are connected with each other. The large volume and relationship of nodes can be used to predict the trends and future.
Keywords
"Big data","Data mining","Servers","Twitter","Security","Facebook"
Publisher
ieee
Conference_Titel
Soft-Computing and Networks Security (ICSNS), 2015 International Conference on
Print_ISBN
978-1-4799-1752-5
Type
conf
DOI
10.1109/ICSNS.2015.7292371
Filename
7292371
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