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CS614 GDB Discussion and Solution Due date 16 jan 2020

GDB - CS614 Dated:Jan 10, 20
Dear Students,

GDB of CS614 is announced on VULMS. GDB would be opened for submissions from Wednesday 15-Jan-2020 to Thursday 16-Jan-2020. GDB is as under along with important note for submission;

Scenario

Pulse Globe Energy Limited (PGEL) is involved in the undertaking of gas exploration, development and production activities in Australia and Asia. PGEL has investments in upstream gas activities and electricity generation that complement wholesale energy contracts to support the retail customer base.

For one of the projects PGEL has already acquired the Seismic data which provides a “time picture” of subsurface structure to aid in gas exploration.

You are hired by the company as Data Analyst to suggest / identify the most desirable areas for gas exploration by using your analytical stills, as company would have to invest a huge budget of 1 million dollar for this task.

After reading the above scenario you are required to answer the following question:

Suggest the most suitable data mining technique for the given scenario and also support your answer with one valid reason (Not lengthy more than 2 – 3 lines).

Technique Name: ________________________

1 Strong Reason to Choose: _______________________________________________________

______________________________________________________________________________

Important Notes:

NO GDB is accepted via e-mail in any case
Lengthy replies of GDB will cause in deduction of marks. So you write your answer precisely within 3 to 5 lines in 2 points along with choice.

Views: 2743

Replies to This Discussion

i think we can use Regression. Regression, used primarily as a form of planning and modeling, is used to identify the likelihood of a certain variable, given the presence of other variables. For example, you could use it to project a certain price, based on other factors like availability, consumer demand, and competition. More specifically, regression’s main focus is to help you uncover the exact relationship between two (or more) variables in a given data set.

It is Clustering:

See page 264 of handouts

Seismic studies: Identifying probable areas for oil/gas exploration based on seismic data.

anyone has the right solution? time khatam ho gya hy yarrr....! koi to share kr do

CS614 GDB idea Solution Fall 2019

Prediction is a very powerful aspect of data mining that represents one of four branches of analytics. Predictive analytics use patterns found in current or historical data to extend them into future. It gives organization insight into what trends will happen next in their data.

Prediction tells that in which class the specific item would lie in future or to which class this specific event can be assigned in any time in future. So prediction is the suitable data mining technique to suggest / identify the most desirable areas for gas exploration.

Note: - We are not responsible for any mistake, this is for your idea or help, need to verify yourself.

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