NOTE: **** post answers in separate documents for each Question **** Please follow the instructions to the

NOTE: **** post answers in separate documents for each Question

      **** Please follow the instructions to the point and pick relavant topics according to the subject

      **** Follow APA7 format

Subject: Introduction to Data mining 

Question 1: Write a 300+ words (APA format & latest scholarly journal article references 2016 on words)

What is classification and why is it needed in Data Mining?

Question 2: Write a 1000 words (APA format & latest scholarly journal article references 2016 on words)

Data Mining Clustering Analysis Assignment

***150+ words per question

1) Explain the following types of Clusters:

    • Well-separated clusters

    • Center-based clusters

    • Contiguous clusters

    • Density-based clusters

    • Property or Conceptual

2) Define the strengths of Hierarchical Clustering and then explain the two main types of Hierarchical Clustering.

3) DBSCAN is a dentisy-based algorithm. Explain the characteristics of DBSCAN.

4) List and Explain the three types of measures associated with Cluster Validity.

5) In regards to Internal Measures in Clustering, explain Cohesion and Separation.

Subject: Security Architecture and Design 

Question 3: Write a 400+ words (APA format & latest scholarly journal article references 2016 on words)

Since we know that this particular instance of the AppMaker implements a customer-facing store that processes financial transactions, how does that influence which threat agents may be interested in attacking it?

Question 4: Write a 600+ words (APA format & latest scholarly journal article references 2016 on words)

Briefly respond to all the following questions. Make sure to explain and backup your responses with facts and examples. 

Refer to the attached document 'Assignment 4.docx' for details