In This Assignment Submit Your Topic And Preliminary 447265

In This Assignment Submit Your Topic And Preliminary References I

In this assignment, submit your topic and preliminary references, in APA format, that you will use when completing your final research paper. Your submission should include the following elements: 1. Provide the title of your term paper (note: you may change the wording in the official title in the final version however, you cannot change the topic once you select one). The topic can be anything topic relating to data mining.finalize title 2. Include an introduction on the topic. This introduction should be one- to two-pages in length. 3. A minimum of 3-5 references in proper APA format. Your final research paper will be due in week 8.

Paper For Above instruction

The task involves selecting a specific topic within the broad field of data mining for the final research paper. Students are required to submit an initial proposal that includes a finalized title reflecting their chosen focus, an introductory section of one to two pages, and a list of preliminary references formatted in APA style. The introduction should provide sufficient background, context, and significance of the topic to demonstrate understanding and to lay the groundwork for further research. Selecting a focused and relevant topic within data mining is crucial, as it guides the subsequent research and writing process. The preliminary references should comprise 3 to 5 scholarly sources that will support the paper’s development and arguments.

The final paper is due in Week 8, but at this stage, students should concentrate on defining their topic clearly, establishing initial references, and drafting an engaging introduction that explains why the topic is relevant and worth exploring. This preliminary submission serves as a foundation, helping students organize their thoughts and plan their research effectively. It also offers instructors an opportunity to provide feedback, ensuring that students are on the right track with their chosen focus and sources.

References

  • Han, J., Kamber, M., & Pei, J. (2012). Data mining: Concepts and techniques (3rd ed.). Morgan Kaufmann.
  • Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to knowledge discovery in databases. AI Magazine, 17(3), 37-54.
  • Witten, I. H., Frank, E., & Hall, M. A. (2011). Data mining: Practical machine learning tools and techniques (3rd ed.). Morgan Kaufmann.
  • Kohavi, R., & Provost, F. (1998). Framework for studying password intrusion detection. AI Communications, 11(2–3), 93–105.
  • Liao, S. H., Lin, C. J., & Weng, W. C. (2003). A survey of data mining techniques for marketing applications. Expert Systems with Applications, 28(2), 423-435.

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