Transcription of Data Mining: Concepts and Techniques - Elsevier
{{id}} {{{paragraph}}}
Example: quiz answers
Data Mining: Concepts and Techniques - Elsevier
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 .. 11111 Applications and Trends in data Exercises.
transformation, of techniques from multiple disciplines such as database technology, statistics, ma-chine learning, high-performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis. (c) Explain how the evolution of database technology led to data ...
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: