Using MIS (10th Edition)
10th Edition
ISBN: 9780134606996
Author: David M. Kroenke, Randall J. Boyle
Publisher: PEARSON
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Expert Solution & Answer
Chapter 9, Problem 9.22MML
Explanation of Solution
Retailer’s role:
As a retailer, one’s role in the organization is to provide ideas on how to increase sales. This is achieved by market analysis, which can be done using two approaches; they are,
- Recently (R), Frequency (F), and Money (M) approach and
- Market basket analysis.
Usage of RFM and market basket approach to increase sales:
RFM approach:
RFM approach deals with Recently (R), Frequency (F), and Money (M), which states the following:
- How recently customers purchased the goods?
- How often do the customers purchase goods?
- How much do they spend on goods?
Customer satisfaction using RFM model:
Segmenting the customer needs using just one parameter will not work every time and that is the reason RFM model can work efficiently for an online sports goods retailer.
By getting these details, it is possible to determine what the customers are actually looking for.
- With these details, the organization can segment the customers such as promising customers, loyal customers, recent customers, and so on...
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Students have asked these similar questions
Design a dynamic programming algorithm for the Longest Common Subsequence problem de-
scribed below
Input: Two strings x = x1x2 xm and y = Y1Y2... Yn
Output: The length of the longest subsequence that is common to both x and y.
.
The algorithm must take O(m n) time. You must also write and explain the recurrence.
(I want the largest k such that there are 1 ≤ i₁ < ... < ik ≤ m and 1 ≤ j₁ < ... < jk ≤ n such that
Xi₁ Xi2 Xik = Yj1Yj2 ··· Yjk)
Example 1:
Input: x = 'abcdefghijklmnopqrst' and y = 'ygrhnodsh ftw'
Output: 6 ('ghnost' is the longest common subsequence to both strings)
Example 2:
Input: x = 'ahshku' and y = ‘asu'
Output: 3 ('asu' is the longest common subsequence to both strings)
Design a dynamic programming algorithm for the problem described below
Input: A list of numbers A = = [a1,..., an].
Output: A contiguous subsequence of numbers with the maximum sum.
The algorithm must take O(n) time. You must also write and explain the recurrence.
(I am looking for an i ≥ 1 and k ≥ 0 such that a + ai+1 + ···ai+k has the largest possible sum among all
possible values for i and k.)
Example 1:
Input: A[5, 15, -30, 10, -5, 40, 10].
Output: [10, 5, 40, 10]
Example 2:
Input: A = [7, 5, 7, 4, -20, 6, 9, 3, -4, -8, 4]
Output: [6,9,3]
Design a dynamic programming algorithm for the Longest Increasing Subsequence problem
described below:
Input: A sequence of n integers
Output: The length of the longest increasing subsequence among these integers.
The algorithm must take O(n²) time. You must also write and explain the recurrence.
Example 1:
Input: [5, 3, 6, 8, 4, 6, 2, 7, 9, 5]
Output: 5 ([3, 4, 6, 7, 9])
Example 2:
Input: [12, 42, 66, 73, 234, 7, 543, 16]
Output: 6 ([42, 66, 73, 234, 543])
Chapter 9 Solutions
Using MIS (10th Edition)
Ch. 9.3 - Prob. 1EGDQCh. 9.3 - Prob. 2EGDQCh. 9.3 - Prob. 3EGDQCh. 9.3 - Prob. 4EGDQCh. 9.6 - Prob. 1BFSQCh. 9.6 - Prob. 2BFSQCh. 9.6 - Prob. 3BFSQCh. 9.6 - Prob. 4BFSQCh. 9.9 - Prob. 1SGDQCh. 9.9 - Prob. 2SGDQ
Ch. 9.9 - Prob. 3SGDQCh. 9.9 - Prob. 4SGDQCh. 9.9 - Prob. 5SGDQCh. 9.9 - Prob. 9.1ARQCh. 9.9 - Prob. 9.2ARQCh. 9.9 - Prob. 9.3ARQCh. 9.9 - Prob. 9.4ARQCh. 9.9 - Prob. 9.5ARQCh. 9.9 - Prob. 9.6ARQCh. 9.9 - Prob. 9.8ARQCh. 9.9 - Prob. 9.9ARQCh. 9 - Prob. 9.1UYKCh. 9 - Prob. 9.2UYKCh. 9 - Prob. 9.3UYKCh. 9 - Prob. 9.4UYKCh. 9 - Prob. 9.5UYKCh. 9 - Prob. 9.6UYKCh. 9 - Prob. 9.7UYKCh. 9 - Prob. 9.8UYKCh. 9 - Prob. 9.9CE9Ch. 9 - Prob. 9.1CE9Ch. 9 - Prob. 9.11CE9Ch. 9 - Prob. 9.12CE9Ch. 9 - Prob. 9.13CE9Ch. 9 - Prob. 9.14CE9Ch. 9 - Prob. 9.15CE9Ch. 9 - Prob. 9.16CS9Ch. 9 - Prob. 9.17CS9Ch. 9 - Prob. 9.18CS9Ch. 9 - Prob. 9.19CS9Ch. 9 - Prob. 9.22MML
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