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Familiarity with underlying data structures and scalable implementations ; Familiarity with applying said techniques on practical domains (e.g. bioinformatics and intrusion detection). Texts (for reading, several free for OSU students) Introduction to Data Mining, Tan, Steinbach and

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Pang-Ning Tan, Michael Steinbach, Anuj Karpatne and Vipin Kumar, Introduction to Data Mining, Addison Wesley, 1st or 2nd edition. The slides and examples are used in my course CS 7331 Data Mining taught at SMU and will be regularly updated and improved.

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6 Introduction to Data Mining, 2nd Edition Tan, Steinbach, Karpatne, Kumar Types of Attributes There are different types of attributes Nominal Examples: ID numbers, eye color, zip codes Ordinal Examples: rankings (e.g., taste of potato chips on a scale from 1-10), grades, height {tall, medium, short} Interval Examples: calendar dates, temperatures in Celsius or Fahrenheit.

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