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CISC 4631 Data Mining

CISC 4631 Data Mining

CISC 4631 Data Mining. Lecture 04: Decision Trees Theses slides are based on the slides by Tan, Steinbach and Kumar (textbook authors) Eamonn Koegh (UC Riverside) Raymond Mooney (UT Austin). Classification: Definition. Given a collection of records ( training set )

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873 views • 77 slides
Partitioning and Divide-and-Conquer Strategies

Partitioning and Divide-and-Conquer Strategies

Partitioning and Divide-and-Conquer Strategies. Cluster Computing, UNC-Charlotte, B. Wilkinson, 2007. Partitioning. Partitioning simply divides the problem into parts and then compute the parts and combine results.

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682 views • 51 slides
Partitioning and Divide-and-Conquer Strategies

Partitioning and Divide-and-Conquer Strategies

Partitioning and Divide-and-Conquer Strategies. Cluster Computing, UNC-Charlotte, B. Wilkinson, 2007. Partitioning. Partitioning simply divides the problem into parts and then compute the parts and combine results.

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518 views • 51 slides
CS 312: Algorithm Analysis

CS 312: Algorithm Analysis

This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License. CS 312: Algorithm Analysis. Lecture #10: Analysis of Quicksort. Slides by: Eric Ringger, with contributions from Mike Jones, Eric Mercer, Sean Warnick. Announcements. HW #7 Due Today

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413 views • 30 slides
CSCI-455/552

CSCI-455/552

CSCI-455/552. Introduction to High Performance Computing Lecture 10. Chapter 4. Partitioning and Divide-and-Conquer Strategies. Partitioning. Partitioning simply divides the problem into parts. Divide and Conquer.

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200 views • 19 slides

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