Week 4 Assignment
Review the opening vignette in Chapter 4 and answer the following questions:
1. Why do law enforcement agencies and departments like Miami-Dade Police Department embrace advanced analytics and data mining? - 10 Points
2. What are the top challenges for law enforcement agencies and departments like Miami-Dade Police Department? Can you think of other challenges (not mentioned in this case) that can benefit from data mining? - 10 Points
3. What are the sources of data that law enforcement agencies and departments like the Miami-Dade Police Department use for their predictive modeling and data mining projects? - 10 Points
4. What type of analytics do law enforcement agencies and departments like Miami-Dade Police Department use to fight crime? - 10 Points
5. What does “the big picture starts small” mean in this case? Explain. - 10 Points
Week 4 Test.
Please respond to the following questions:
1. Define data mining. Why are there many names and definitions for data mining?
2. Discuss the main data mining methods. What are the fundamental differences among them?
3. What are the privacy issues with data mining? Do you think they are substantiated?
4. What are the most common myths and mistakes about data mining?
5. Define data mining. Why are there many names and definitions for data mining?
6. Why do we need a standardized data mining process? What are the most commonly used processes?
7. List some capabilities of information systems that can facilitate managerial decision-making.
Instructions
1. No minimum number of word requirements.
2. Responses must pertain to the topic and demonstrate a mastery level of understanding of the subject matter.
3. Excellent understanding of how references relate to the topic, and the ability to express individual judgments about their value.
4. Submissions must make use of in-text citations and reference citations using APA where appropriate.
5. Submissions contain minimal grammatical, spelling, and mechanical errors.