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Social Engineering Click on each buttònto read abòüt common social engineering techniques Phishing Pretexting Defined Pretexting is the act of creating and using an invented scenario (the pretext) to persuade a targeted victim to release information or perform an action and is .
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Feb 14, 2018· Avoiding False Discoveries: A completely new addition in the second edition is a chapter on how to avoid false discoveries and produce valid results, which is novel among other contemporary textbooks on data mining. It supplements the discussions in the other chapters with a discussion of the statistical concepts (statistical significance, pvalues, false discovery rate, permutation testing ...
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An upperlevel undergraduate course(s) in algorithms and data structures, a basic course on probability and statistics. This is a first course on data mining and no prior knowledge of data mining or machine learning is assumed. Homework assignments will require programming in Java, which can sometimes be substituted with C++
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Chapter 8,9 from the book "Introduction to Data Mining" by Tan, Steinbach, Kumar. Lecture 8 a: Clustering Validity, Minimum Description Length (MDL), Introduction to Information Theory, Coclustering using MDL. (ppt, pdf)
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Here, we have uploaded two Web Mining PPT which explains that Data mining: turn data into knowledge whereas Web mining is to apply data mining techniques to extract and uncover knowledge from web documents and Web Mining PPT further discusses the taxonomy, Web Content Mining, Intelligent Information Retrieval, Intelligent Web Search, Clustering etc.
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Lecture notes file: Suggested text and other readings : 1. Introduction, history of the earth and geological time: : Read chapters 1 and 8. 2. Minerals: : Read chapter 2: 3. The rock cycle and igneous rocks : : Read chapter 3: 4. .
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