Transcription of Data Mining: Concepts and Techniques
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Data Mining: Concepts and Techniques
data mining : Concepts and Techniques2nd EditionSolution ManualJiawei HanandMicheline KamberThe University of Illinois at Urbana-Champaignc Morgan Kaufmann, 2006 Note: 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 .. 415 mining Frequent Patterns, Associations, and Exercises .. 536 Classification and Exercises .. 697 Cluster Exercises .. 798 mining Stream, Time-Series, and Sequence Exercises .. 919 Graph mining , Social Network Analysis, and Multirelational data Exercises .. 10310 mining object , Spatial, Multimedia, Text, and Web Exercises.
† An objected-oriented database is designed based on the object-oriented programming paradigm where data are a large number of objects organized into classes and class hierarchies. Each entity in the database is considered as an object. The object contains a set of variables that describe the object,
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