Maurice Tutor

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Algebra,Applied Sciences See all
Algebra,Applied Sciences,Biology,Calculus,Chemistry,Economics,English,Essay writing,Geography,Geology,Health & Medical,Physics,Science Hide all
Teaching Since: May 2017
Last Sign in: 399 Weeks Ago
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Education

  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

Experience

  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Computer Science Posted 16 Sep 2017 My Price 5.00

Apriori algorithm

Problem: This is our second programming assignment. This assignment has three parts: ? Part 1: I ask you to write a program to implement the classical Apriori algorithm to find the most frequent item sets and then generate association rules from these item set. The two parameters are given as follows: minsup = 30% minconf = 90% The most frequent item set shall be output and saved a text file called “mfis.txt,” and the association rules shall also be output and saved in another text file called “ar.txt.” Note: You may use any reasonable heuristic to in your implementation to improve the running time performance of the Apriori Algorithm.? Part II: I ask you to sort the associate rules obtained from Part 1 according to confidence values, and then output the top 10 association rules with highest confidence values. These top ten association rules shall be output and saved in the third text file called “topar.txt.” ? Part III: In word file, I ask you to evaluate the top ten association rules and briefly explain whether each of these rules is meaningful or not. Save your word file as “explan.doc” or “explan.docx.” ? Data set: The data set is the 1984 Congressional Voting Record Database archived at UCI Machine Learning Repository:

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Maurice Tutor
(5)
Status NEW Posted 16 Sep 2017 02:09 PM My Price 5.00

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