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Suppose that you are developing a data mining algorithm that stores 4GB input dataset in an array. After removing the unnecessary attributes and outliers in the preprocessing stage, the size of the dataset becomes 2GB, which is also stored in an array. The size of the final results from the mining algorithm could be 3GB and should be stored in another array. However, the size of heap is 7GB, which is not enough to store the final results since the input and preprocessed dataset have already occupied 4GB+2GB. Find a solution to accommodate all results of the mining algorithm without increasing the heap size.

Suppose that you are developing a data mining algorithm that stores 4GB input dataset in an array. After removing the unnecessary attributes and outliers in the preprocessing stage, the size of the dataset becomes 2GB, which is also stored in an array. The size of the final results from the mining algorithm could be 3GB and should be stored in another array. However, the size of heap is 7GB, which is not enough to store the final results since the input and preprocessed dataset have already occupied 4GB+2GB. Find a solution to accommodate all results of the mining algorithm without increasing the heap size.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Plese solve this following question of the concept of arrays in Java program. Please answer this as soon as possible. Thank you in advance. 

Suppose that you are developing a data mining algorithm that stores 4GB input dataset in an array. After removing the unnecessary attributes and outliers in the preprocessing stage, the size of the dataset becomes 2GB, which is also stored in an array. The size of the final results from the mining algorithm could be 3GB and should be stored in another array. However, the size of heap is 7GB, which is not enough to store the final results since the input and preprocessed dataset have already occupied 4GB+2GB. Find a solution to accommodate all results of the mining algorithm without increasing the heap size.
Transcribed Image Text:Suppose that you are developing a data mining algorithm that stores 4GB input dataset in an array. After removing the unnecessary attributes and outliers in the preprocessing stage, the size of the dataset becomes 2GB, which is also stored in an array. The size of the final results from the mining algorithm could be 3GB and should be stored in another array. However, the size of heap is 7GB, which is not enough to store the final results since the input and preprocessed dataset have already occupied 4GB+2GB. Find a solution to accommodate all results of the mining algorithm without increasing the heap size.
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