I’m working on a engineering discussion question and need support to help me understand better.
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1) This week we focus on the concept of false discovery in data. After reviewing the article by Naouma (2019), answer the following questions:
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2)This week is our short week, and we focus on the final. Please note what you’ve learned in the course and how you will apply it to your work life. Also, note anything else of importance regarding the course overall.
***********Below are the Topics for 2 question
course topic:Intro to data mining
- ch. 1 in textbook: Introduction
- Comparing apples and oranges: measuring differences between exploratory data mining results. Data Mining and Knowledge Discovery, 25(2), 173–207.
- ch. 2 & 3 in textbook: Data and Classification: Basic Concepts and Techniques and Alternative Techniques
- Capri, H. (2016). Data mining : principles, applications and emerging challenges . Nova Publishers. Chapter 1.
- ch. 4 in textbook: Classification: Alternative Techniques
- Read: Hemmatian, H. (2019). A survey on classification techniques for opinion mining and sentiment analysis. Artificial Intelligence Review, 52(3), 1495–1545
- ch. 5 in textbook: Association Analysis: Basic Concepts and Algorithms
- Abdel-Basset, M. (2018). Neutrosophic Association Rule Mining Algorithm for Big Data Analysis. Symmetry (Basel), 10(4), 106–.
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