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Data mining is the process of extracting usable and relevant information from a large and complex set of raw data. It is applied in many different disciplines including science and research, business, and healthcare to obtain relevant information from data. This technique helps researchers identify patterns and trends in data, which leads to better decision-making. If you have problems dealing with homework in this concept, ask us for data mining homework help now.

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Scatter plots

Parallel coordinates

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  • Lift and benefit estimation
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Clustering is a conspicuously broad data-mining study area that is highly dreaded mainly because students don't have sufficient time for studies. However, that doesn't mean that you have to fail as there's someone who can help you with the coursework right here. That is, we have several Master and Ph.D. holders in data mining and related fields. The experts' passion is helping students understand and excel in the various challenging topics under Clustering.
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Please note that the list of topics isn't full as there are more.

  1. CART
  2. Decision Trees 
  3. Basic Classification Methods
• NaiveBayes
• OneR

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