Project Topic Selection Report
Environmental Impact Assessment Using Data Mining
This Paper actually is planned to focus on Environmental Impact Assessment. As per the several researches the environmental impacts such as human health, economy on household consumption, mining, motor vehicle noise etc. are assessed using the data mining technology. Household consumption is an important economic driver. Consumption habits and patterns have an impact on the ecosystem, replenishment rate and disrupting natural balance. Because buying decisions are so influenced and varied, studying behaviour patterns is critical for assessing environmental implications (Froemelt et al., 2018). Similarly, the sound pollution causing mainly in urban areas and neighbourhoods are causing health issues and which indirectly impacts environment.
Thus, using data mining technology to assess the Environmental Impact can be a solution to understand the problem. Also, by assessing the data mining technology how the problem is affecting the environment and the severity of the problem can be also assessed.
Finally using the data mining and analysis a solution can be concluded based on the significance of the Environmental Impact.
Submitted by: Krishnakishore Menon
Date: February 08,2022
References
- Froemelt, A., Dürrenmatt, D. J., & Hellweg, S. (2018). Using data mining to assess environmental impacts of household consumption behaviors. Environmental Science & Technology, 52(15), 8467-8478. https://doi.org/10.1021/acs.est.8b01452
Project Requirements for ENGO645 (2022Winter)
The project is a vehicle for the student to take an active part in exploring the subject area, as appropriate for the data mining and spatial databases course. Thus, a project must be chosen that will clearly extend your knowledge and understanding of the data mining and spatial databases area relevant to the course. Moreover, the primary criterion for evaluating your project will be what you have learned and discovered from the project.
There are three aspects to a project:
- Problem definition, literature and technology background.
- Algorithm applied and designed
- System implementation and experimentation
The problem definition, literature and technology background should explore and describe the problem or area of interest and provide some investigation of background work in this area. It should examine the research literature and available technologies in the selected area. Because of the time limits, this stage is generally expected to be very limited, e.g. google around, read a couple of papers, study from online tutorial and books, think hard for awhile and write your project proposal.
The algorithm should try to map out an algorithmic solution that is implementable with the available time and computer resources. With the intended “prototyping” nature of the projects, the design, implementation and evaluation may be performed iteratively.
In the implementation and experimentation phase, the algorithm design and implementation need to demonstrate the algorithm feasibility, effectiveness and efficiency. Synthetic data can be used, but real datasets are preferable.
In general, the course project must be relevant to the issues and techniques and directions covered in the course. Original thoughts, solutions, insights are strongly encouraged and will be rewarded.
All work submitted should be done in a professional manner. Documents should be type-written and use good technical English. Software should be well-written, meeting reasonable standards of programming.
Important Dates:
Feb 8 Project topic and short description due (0.5 page)
Mar 15 Project proposal due (problem statement, objectives, possible solutions and current project progress) (1~2 pages)
Apr 5,7,12 Project presentations Apr 19 Project report due
