Transcription of Data Mining: Concepts and Techniques
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Data Mining: Concepts and Techniques
Data Mining: Concepts andTechniques3rd EditionSolution ManualJiawei Han, Micheline Kamber, Jian PeiThe University of Illinois at Urbana-ChampaignSimon Fraser UniversityVersion January 2, 2012c Morgan Kaufmann, 2011 For Instructors' references not copy! Do not distribute!iiPrefaceFor a rapidly evolving field like data mining, it is difficult to compose typical exercises and even moredifficult to work out standard answers. Some of the exercises inData Mining: Concepts and Techniquesare themselves good research topics that may lead to future Master or theses. Therefore, our solutionmanual is intended to be used as a guide in answering the exercises of the textbook. You are welcome toenrich this manual by suggesting additional interesting exercises and/or providing more thorough, or betteralternative we have done our best to ensure the correctness of the solutions, it is possible that some typos orerrors may exist.
10 Cluster Analysis: Basic Concepts and Methods 107 ... Association is the discovery of association rules showing attribute-value conditions that occur fre-quently together in a given set of data. For example, a data mining system may find association rules like
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