Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,250,720 papers from all fields of science
Search
Sign In
Create Free Account
Big data
Known as:
BigData
, Big SQL
, Big analytics
Expand
Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
50 relations
A/B testing
Agent-based model
Apache Hadoop
Apache Spark
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2015
Review
2015
DATA MINING FOR BIG DATA
Xindong Wu
,
Xingquan Zhu
,
Gongqing Wu
,
W. Ding
2015
Corpus ID: 206742931
Big data" is pervasive, and yet still the notion engenders confusion. Big data has been used to convey all sorts of concepts…
Expand
Highly Cited
2015
Highly Cited
2015
Highly efficient data migration and backup for big data applications in elastic optical inter-data-center networks
Ping Lu
,
Liang Zhang
,
Xiahe Liu
,
Jingjing Yao
,
Zuqing Zhu
IEEE Network
2015
Corpus ID: 3731199
This article discusses the technologies for realizing highly efficient data migration and backup for big data applications in…
Expand
Highly Cited
2015
Highly Cited
2015
Big Data for Modern Industry: Challenges and Trends [Point of View]
Shen Yin
,
O. Kaynak
Proceedings of the IEEE
2015
Corpus ID: 34317328
We are living in an era of data deluge and as a result, the term ‘‘big data’’ is appearing in many contexts, from meteorology…
Expand
Highly Cited
2013
Highly Cited
2013
Too Big to Ignore: The Business Case for Big Data
P. Simon
2013
Corpus ID: 166433537
Too Big to Ignore: The Business Case for Big Data isgeared towards CIOs, CEOs, presidents, and IT professionals. At a high level…
Expand
Highly Cited
2013
Highly Cited
2013
Big Data Analytics for Security
A. Cárdenas
,
P. Manadhata
,
S. Rajan
IEEE Security and Privacy
2013
Corpus ID: 1717815
Big data is changing the landscape of security tools for network monitoring, security information and event management, and…
Expand
Review
2012
Review
2012
Efficient Big Data Processing in Hadoop MapReduce
J. Dittrich
,
Jorge-Arnulfo Quiané-Ruiz
Proceedings of the VLDB Endowment
2012
Corpus ID: 12053851
This tutorial is motivated by the clear need of many organizations, companies, and researchers to deal with big data volumes…
Expand
Highly Cited
2012
Highly Cited
2012
Addressing big data problem using Hadoop and Map Reduce
Aditya Patel
,
Manashvi Birla
,
U. Nair
Nirma University International Conference on…
2012
Corpus ID: 21807689
The size of the databases used in today's enterprises has been growing at exponential rates day by day. Simultaneously, the need…
Expand
Highly Cited
2012
Highly Cited
2012
Considerations for big data: Architecture and approach
K. Bakshi
IEEE Aerospace Conference
2012
Corpus ID: 21806905
The amount of data in our industry and the world is exploding. Data is being collected and stored at unprecedented rates. The…
Expand
Review
2011
Review
2011
Analytics over large-scale multidimensional data: the big data revolution!
A. Cuzzocrea
,
I. Song
,
K. Davis
International Workshop on Data Warehousing and…
2011
Corpus ID: 4560022
In this paper, we provide an overview of state-of-the-art research issues and achievements in the field of analytics over big…
Expand
Highly Cited
2008
Highly Cited
2008
Big data: Distilling meaning from data
Felice C. Frankel
,
Rosalind Reid
Nature
2008
Corpus ID: 43756172
Buried in vast streams of data are clues to new science. But we may need to craft new lenses to see them, explain Felice Frankel…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE
or Only Accept Required