L10TestReview1.pdf - Cse534 Data Mining Test Review 1...

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Cse534 Data Mining Test Review 1 Professor Anita Wasilewska Computer Science Department Stony Brook University
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Data Mining Process Questions: Describe and discuss all stages of the Data Mining Process Describe the role of Preprocessing stage and its main methods Discuss the Data Mining Proper stage Describe what is Descriptive/ non Descriptive Data Mining Which Models you would use for the Descriptive Data Mining and which for the non Descriptive Data Mining How and what decides which type of Data Mining is the best to use (implement) Give examples of types of applications and the best Models (algorithms) for them
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Classification Describe what is CLASSIFICATION ; type of data, goals and applications Describe all stages of the classification process Describe and discuss basic classification Models and their differences Discuss the Decision Tree Induction and its strengths and weaknesses Discuss the Neural Network Model and its strengths and weaknesses Define a CLASSIFIER Describe a process of building a CLASSIFIER
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Classification Data and Rules Given a classification dataset DB with a set A = { a1, a2,…, an } of attributes and a class attribute C with values { c1, c2,…, ck } - k classes Definition 1 Any expression a1 = v1 & … & ak = vk where ai A and vi are corresponding values of attributes from A is called a DESCRIPTION Any expression C = ci is for ci { c1, c2,…, ck } Is called a CLASS DESCRIPTION
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Classification Data and Rules Definition 2 A CHARACTERISTIC FORMULA is any expression C = ck a1 = v1 & & ak = vk We write is as CLASS DESCRIPTION
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