Difference between revisions of "ISSS608 2016-17 T1 Assign2 Shishir Nehete"

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Revision as of 04:49, 26 September 2016


Abstract

As the use of technology increases in data collection and storage in organizations, the demand for finding the insights from this data is a growing concern. Currently, most of the traditional business intelligence systems tend to confine to univariate and bivariate data analysis. The Project focuses on applying interactive data exploration and analysis techniques to discovery patterns in multivariate data to explore different relationships in the data. The topic used for exploring these techniques is “University faculty perceptions and practices of using Wikipedia as a teaching resource”. This is an ongoing research in which perception of colleagues and opinion about Wikipedia and the perceived quality of information in Wikipedia play a central role.

Theme of Interest and Motivation

The dataset used for this project is wiki4HE Data Set(https://archive.ics.uci.edu/ml/datasets/wiki4HE).
Identifying a theme of interest The dataset provides information of the survey providers on multiple variables such as: Age, Gender, Domain, PhD, Experience, University (Universitat Oberta de Catalunya, Universitat Pompeu Fabra), UOC_Position, Other, Other_Position, UserWiki

  1. Perceived Usefulness
  2. Perceived Ease of Use
  3. Perceived Enjoyment
  4. Quality
  5. Visibility
  6. Social Image
  7. Sharing attitude
  8. Use behaviour
  9. Profile 2.0
  10. Job relevance
  11. Behavioural intention
  12. Incentives
  13. Experience

To define the scope of the assignment, I am considering 5 of the above list of variables. Limiting the scope will provide me a confined field of analysis which can be furthered to other variables too. These variables are Perceived Usefulness, Quality, Visibility, Experience and Sharing Attitude.


Approaches

Data Acquiration

Data Preaparation

Data Exploration


Tools Utilised


Results



Comments