be asking me to list it again for you if you actually read the response I gave you before. Text Classification from Labeled and Unlabeled Documents using EM,. I explain every topic and what social media network you can use to complete the research. The list is not meant to be exhaustive. Issues in Mining Imbalanced Data Sets - A Review Paper,. ACM Transactions on Intelligent Systems and Technology (ACM tist, Impact Factor:. Ichanpants89 Contributor 309 Feb 28, 2017 #30 I might say that if you do the research about this topic, you would have a descriptive research or perhaps comparative research. Also, because I made the suggestion, that does not mean that I should do all the work for you.
Hand, American Statistician, 52(2 112-118. If you want to make a descriptive research, your purpose should be about either an individual or company profit. Duin, in icml Workshop on Learning from Imbalanced Datasets II, 2003.
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C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling,. On Active Learning for Data Acquisition,. You seem to have misunderstood how we work here. Steinberg, Knowl Inf Syst (2008) 141-37. Feb 12, 2017 #17, since data mining is all about gathering public information from unknown people, it is important that the mining programs know how to detect when an automated robot has set up the account in order to spam people, spread viruses, and the. Mitchell, Machine Learning, 39, 103-134, 2000.