Big data is an issue that having large amount of
data. To handle this data is a big challenge. In big data mining
is collecting the needful information. Now a day’s enterprise
and its data is increasing rapidly also there is complexity of data
is also increasing. In many areas such as biology, physics,
medicine, astronomy, climate forecasting, etc. To find patterns
and trends in the data is increasingly important and challenging
for decision making. The analysis and management of Big Data
is today a main concern of the computer science community,
especially for complex data (e.g., images, graphs, audio and
long texts). Big Data is a new term used to identify the datasets
that due to their large size, we cannot manage them with the
typical data mining software tools. Instead of defining “Big
Data” as datasets of a concrete large size, for example in the
order of magnitude of petabytes, the definition is related to the
fact that the dataset is too big to be managed without using new
algorithms or technologies.
Anuradha N. Nawathe : Assistant Professor in
Amrutvahini college of Engineering Sangamner in Pune University.
Having 16 years of teaching experience in the computer engineering
field. Near about 20 international paper published in reputed
gernals10 national level paper published .Life Member of ISTE,IE and
CSI.I am very much positive related teaching and learning process.
This year for research project 1,30,000 grant is received from
university of Pune. Work in various committees positively. I have
completed my B.E. From Government College of Engineering
Amravati and M.E. from Prof .Ram Meghe Institute of Technology
and Research, Badnera, Amravati University. I have 10 years
Teaching Experience from government college of Engineering,
Amravati. I have attended 30 workshops uptill now.
Big data
Database
DataMining
Large Databse
It’s no secret that big data has led to major changes
within the business world. Companies are utilizing the
benefits from data analytics to positively impact their
bottom line, resulting in growing revenues and greater
efficiency. The uses of big data are many and can apply to
areas that many might not have thought of before. One
area that sees a lot of potential in big data is the mining
industry. For an industry that does trillions of dollars in
business every year, big data is not seen as a luxury but as
a necessity. Researchers are continuously working on the
algorithms to mine big data efficiently and quickly.
[1] http://en.wikipedia.org/wiki/Big_data
[2] SAMOA, http://samoa-project.net, 2013.
[3] C. C. Aggarwal, editor. Managing and Mining Sensor
Data. Advances in Database Systems. Springer, 2013.
[4] Apache Hadoop, http://hadoop.apache.org.
[5] Apache Mahout, http://mahout.apache.org.
[6] A. Bifet, G. Holmes, R. Kirkby, and B. Pfahringer.
MOA: Massive Online Analysis http://moa.
cms.waikato.ac.nz/. Journal of Machine Learning
Research (JMLR), 2010.
[7] Jason Palmer (2013). "Google searches predict market
moves". BBC Retrieved 2013
[8] Kalil, Tom. "Big Data is a Big Deal". White House
Retrieved 2012
[9] Executive Office of the President (2012). "Big Data
across the Federal Government" White House Retrieved
2012
[10] "How big data analysis helped President Obama defeat
Romney in 2012 Elections". Bosmol Social Media News
2013 Retrieved 2013
[11] Hoover, J. Nicholas. "Government's 10 Most Powerful
Supercomputers" Information Week UBM Retrieved
2012
[12] Bamford, James. "The NSA Is Building the Country‘s
Biggest Spy Center (Watch What You Say)". Wired
Magazine Retrieved 2013
[13] Groundbreaking Ceremony Held for $1.2 Billion Utah
Data Center" National Security Agency Central Security
Service. Retrieved 2013
[14] Layton, Julia. "Amazon Technology"
Money.howstuffworks.com Retrieved 2013.