CHAPTER OUTLINE 4. 1 Opening Vignette: Miami-Dade Police Department Is Using Predictive Analytics to Foresee and Fight Crime 4.2 Data Mining Concepts and Applications 4.3 Data Mining Applications 4.4 Data Mining Process 4.5 Data Mining Methods 4.6 Data Mining Software Tools 4.7 Data Mining Privacy Issues, Myths, and Blunders ANSWERS TO END OF SECTION REVIEW QUESTIONS.o..0 Section 4.1 Review Questions 1. Why do law enforcement agencies and departments like Miami-Dade Police Department embrace ad vanced analytics and data mining Law enforcement agencies have embraced advanced analytics and data mining because it allows them to ad dress many of the needs that they have in their departments. Specifically, it allows them to be more efficient in their use of money and resources. They are able to do this by being more selective in the types of activities that they engage in. add itionally, data may be used to help them look at outstand ing crimes, and to find new avenues that may be explored 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? The top challenges for many agencies revolve around being able to provide the best possible service within a limited budget This means that agencies must be able to be efficient in their use of time and resources, as well as ensuring that their results are positive. These issues are believed to be consistent across many departments and jurisdictions. In addition, other areas may struggle with specific questions about the use of funds, and the cost-benefit of d ifferent types of enforcement or possible prevention programs Copyright C2018 Pearson Education, Inc.2 Copyright © 2018Pearson Education, Inc. CHAPTER OUTLINE 4.1 Opening Vignette: Miami-Dade Police Department Is Using Predictive Analytics to Foresee and Fight Crime 4.2 Data Mining Concepts and Applications 4.3 Data Mining Applications 4.4 Data Mining Process 4.5 Data Mining Methods 4.6 Data Mining Software Tools 4.7 Data Mining Privacy Issues, Myths, and Blunders ANSWERS TO END OF SECTION REVIEW QUESTIONS      Section 4.1 Review Questions 1. Why do law enforcement agencies and departments like Miami-Dade Police Department embrace advanced analytics and data mining? Law enforcement agencies have embraced advanced analytics and data mining because it allows them to address many of the needs that they have in their departments. Specifically, it allows them to be more efficient in their use of money and resources. They are able to do this by being more selective in the types of activities that they engage in. Additionally, data may be used to help them look at outstanding crimes, and to find new avenues that may be explored. 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? The top challenges for many agencies revolve around being able to provide the best possible service within a limited budget. This means that agencies must be able to be efficient in their use of time and resources, as well as ensuring that their results are positive. These issues are believed to be consistent across many departments and jurisdictions. In addition, other areas may struggle with specific questions about the use of funds, and the cost-benefit of different types of enforcement or possible prevention programs