Research Paper On Data Mining Using Weka

Click on any of the term papers to read a brief synopsis of the research paper. The essay synopsis includes the number of pages and sources cited in the paper.

  • BayesiaLabs Data Mining System

    A 5 page paper discussing the operation and benefits of BayesiaLabs data mining system. Much of the focus of marketing lies in knowing the target customer, but much of the knowledge that could be used is virtually buried in nondescript forms and electronic files. The process of extracting these bits of information and combining them in meaningful ways is not economical manually, but automatic data mining can make “hidden” information available to marketers while not incurring any significant labor costs in the process. Bibliography lists 3 sources.

  • BayesiaLabs Data Mining System

    A 5 page paper discussing the operation and benefits of BayesiaLabs data mining system. Much of the focus of marketing lies in knowing the target customer, but much of the knowledge that could be used is virtually buried in nondescript forms and electronic files. The process of extracting these bits of information and combining them in meaningful ways is not economical manually, but automatic data mining can make “hidden” information available to marketers while not incurring any significant labor costs in the process. Bibliography lists 3 sources.

  • Data Mining and Ethics

    This 10 page paper explores data mining, the new trend to compile data on individuals. Data mining is defined and explained. Ethics are explored. Bibliography lists 10 sources.

  • Overview of Data Mining

    A 4 page paper which explains how data mining works, offers specific details about the practice, and examines future developments. Bibliography lists 4 sources.

  • Quality Improvement Tools Healthcare

    This 6 page paper looks at some tools which may be used of quality improvement in healthcare. The paper starts by identifying two potential areas of quality improvement and discussing the type of data needed. The main part of the paper then looks at three tools or approaches which may be useful in gathering, measuring and assessing data needed to support a QI initiative. The tools discusses include patient health survey, Six Sigma and the use of data mining. The bibliography cites 4 sources.

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