Use java coding lanuage to explain if needed thanks Let A[1..n] be an array of n distinct numbers. If i A[j], then the pair (i, j) is calledan inversion of A.This problem appears in the real-life scenario below.Music (or movie) sites try to match your song preferences with others: you rank n songs,music site consults database to find people with similar tastes.Similarity metric: number of inversions between two rankings. My rank: 1, 2,rank: a₁, a₂, ..., an; Songs i and j are inverted if i aj.***/a. List the five inversions of the array (2, 3, 8, 6, 1)b. What array with elements from the set {1, 2, . n} has the most inversions? How manydoes it have?c. A Brute force solution to this problem is to check all (n²) pairs i and j.Give a divide-and-conquer algorithm that determines the number of inversions in anypermutation on n elements in O(nlogn) worst-case time. (Hint: Modify MergeSort).

Array:- An Array is a user-defined data type that stores data of the same type in contiguous…

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Let A[1..n] be an array of n distinct numbers. If i A[j], then the pair (i, j) is called an inversion of A.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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[Chapter 9] k-Nearest Neighbors for Classification In the k-Nearest Neighbors method for classification, you set k = 1 to 20 and the data mining software reported the best k = 10. The table below gives the 10 nearest neighbors in the training set for a new observation and the class membership for each neighbor. Neighbor 2 3 4 Class 0 1 1 Answer the following questions based on the above information. 1 1 oversampling standard partitioning overfitting undersampling standard sampling The best kachieves the smallest 5 0 class 0 error rate overall error rate 6 average error class 1 error rate root mean squared error 7 0 1 In the data partitioning procedure, if a rare event is involved in classifying a categorical outcome, then should be used for the training set. 8 1 on the validation set. 9 0 10 1
def sort_by_digit_count(items): Sorting can be done according to arbitrarily chosen comparison criteria, as long as they satisfy the mathematical requirements of a total ordering relation. To play around with this concept, let us define a wacky ordering comparison of positive integers so that for any two integers, the one thatcontains the digit 9 more times than the other is considered to be larger, regardless of the magnitude and other digits of these numbers. For example, 99 > 12345678987654321 > 101000 in this ordering. If both integers contain the digit 9 the same number of times, the comparisonproceeds to the next lower digit 8, and so on, until the first distinguishing digit has been discovered. If both integers contain every digit from 9 to 0 pairwise the same number of times, the ordinary integer order comparison will determine their mutual ordering. items expected results [9876, 19, 4321, 99, 73, 241, 111111, 563, 33] [111111, 33, 241, 4321, 563, 73,19, 9876, 99]…
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A data set has 4 columns--index, CUSTOMER_EMAIL, Net Revenue, and Year. For each year we need the following information: New Customer Revenue e.g., new customers not present in previous year only Lost Customers New Customers Total Customers Previous Year Total Customers Current Year Please implement it using python.
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Difference between count (*) and count (col_name). Explain with an example.