Data Preprocessing Techniques
Topic: Market Trends in smart deveices and social networking using Data Preprocessing Techniques
Subject: Data Mining
1. PPT Requirement (Deadline 7 hours):
–1 slide –introduce your topic, and provide abstracted description
–2 -3 slides –show the background/hypotheses to support your research topic (current technology or research papers)
–4 –5 slide –research methods and a time-line
–6 slide –conclusion
Note: 6-8 slides with references and in-text citations. No plagiarism is accepted.
2. Research Paper (Deadline 5 days) :
I.Introduction
II.Background [Discuss tool, benefits, or limitations]
III.Review of the Data [What are you reviewing?]
IV.Exploring the Data with the tool
V.Classifications Basic Concepts and Decision Trees
VI.Other Alternative Techniques
VII.Summary of Results
References
Note: APA formatted (http://www.apastyle.org/) , in-text citations, At least 20-25 pages(not including heading and content list pages) and 5 references. Use 12-font size and 2.0 lines space. No more than 5 figures and 5 tables. No plagiarism is accepted.
5 years ago 70
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- datapreprocessing.docx
- datapreprocessing1.docx
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