Data Mining: Concepts and Techniques

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data mining : Concepts and Techniques2nd EditionSolution ManualJiawei HanandMicheline KamberThe University of Illinois at Urbana-Champaignc Morgan Kaufmann, 2006Note: For Instructors reference only. Do not copy! Do not distribute!iiContents1 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 data Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133 data Warehouse and OLAP Technology: An Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314 data Cube Computation and data Exercises.

1.5. Brie°y describe the following advanced database systems and applications: object-relational databases, spatial databases, text databases, multimedia databases, the World Wide Web. Answer: † An objected-oriented database is designed based on the object-oriented programming paradigm

  Database, System, Data, Mining, Object, Oriented, Data mining, Database system, Oriented databases