Data mining and bigdata paper

ITS 632 – Introduction to Data Mining

Big data and data mining go hand in hand. According to Wu et al. (2013),
“Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources.
With the fast development of networking, data storage, and the data collection capacity, Big Data
are now rapidly expanding in all science and engineering domains, including physical, biological
and biomedical sciences.“
And according to Fan and Bifet (2012),
“Big Data is a new term used to identify datasets that we can not manage with current methodologies
or data mining software tools due to their large size and complexity. Big Data mining is
the capability of extracting useful information from these large datasets or streams of data. New
mining techniques are necessary due to the volume, variability, and velocity, of such data. The
Big Data challenge is becoming one of the most exciting opportunities for the years to come.”
For your term paper, you are required to pick one industry or field and discuss how big data, data
mining, business data analytics, business intelligence are applied in this industry or field. You are asked to discuss the current status, and future trend.

Follow the rules below.

• Be 1500 to 2000 words in length, not including the cover and references pages.
• Your paper should include at least an introduction, a body, and a conclusion.
• Be clearly and well written using excellent grammar and style techniques. Be concise
and logical. You are being graded, in part, on the quality of your writing.
• Be supported with at least five peer-reviewed, and scholarly references. You may
also include references from credible sources in print and from the Internet.