IT 632 Week 14 Introduction to Data mining

Subject: Introduction to Data mining

Question 1: 300+ words (APA format & latest scholarly journal article references 2016 on words)
Define and Describe the following methods of clustering:
* Partitioning Method
* Hierarchical Method
* Density-based Method
* Grid-Based Method
* Model-Based Method
* Constraint-based Method

Question 2: 2+ pages (APA format & latest scholarly journal article references 2016 on words)
After reviewing chapter 9 (refer to attached ‘IT632_Chapter 9 PPT.ppt’) on anomaly detection this week,
1. What are the characteristics of anomaly detection?
2. What are the detection problems and methods?
3. What are the statistical approaches when there is an anomaly found?
4. Compare and contrast proximity and clustering based approaches.

Subject: Security Architecture and Design
Question 3: 400+ words (APA format & latest scholarly journal article references 2016 on words)
If an attacker can retrieve the API and libraries, then use these to writean agent, and then get the attacker’s agent installed, how should Digital Diskus protect itself from such an attack? Should the business analytics system provide a method of authentication of valid agents in order to protect against a malicious one? Is the agent a worthy attack surface?

Question 4: 600+ words (APA format & latest scholarly journal article references 2016 on words)
Briefly respond to all the following. Make sure to explain and back up yourresponses with facts and examples.
Refer the attached document ‘Individual Assignment 4.docx’ for details

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