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This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. Instructor materials include Instructor SlidesSolutions for the book exercises and casesExtra Problems and SolutionsChapter Example Files (data and analyses)Access to XLMinerList of datasets and uses (contributed by Prof. Susan Palocsay)To gain access to these instructor materials:Please send us official proof that the students in your class are required to purchase the book. This is the Instructors Solution Manual for the book Solution Manual Data Mining : The Textbook (Charu C. Aggarwal) Solution Manual An Introduction to Classical Electromagnetic Radiation (Glenn S. Smith) Solution Manual Optimization in Practice with MATLAB® : For Engineering Students and Professionals (Achille Messac) Below are Chegg supported textbooks by Jiawei Han. 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