Paper presents external sorting using data preprocessing. Generally, huge data of any organization possess data redundancy, noise and data inconsistency. To eliminate, Data preprocessing should be performed on raw data, then sorting technique is applied on it. Data preprocessing includes many methods such as data cleaning, data integration, data transformation and data reduction. Depending on the complexity of given data, these methods are taken and applied on raw data in order to produce quality of data. Then, external sorting is applied. The external sorting now takes the number of passes less than actual passes log B (N/M) + 1 for B – way external merge sorting, and number of Input / Outputs less than 2*N * (log B (N/M) + 1) of Input / O...
Data sets in large applications are often too massive to fit completely inside the computer’s intern...
Most of the large number of internal sorting algorithms are based on the use of arrays or linked lis...
To manage and organize large data is imperative in order to formulate the data analysis and data pro...
Abstract -This paper presents external sorting using data preprocessing which is a data mining techn...
[[abstract]]This paper presents an optimal external sorting algorithm for two-level memory model. ...
This paper presents an external sorting algorithm using linear-time in-place merging and without any...
Abstract:- Like other external sorting algorithms, the presented algorithm is a two step algorithm i...
The effective performance of the external sorting is analyzed in terms of both time and I/O complexi...
Like other external sorting algorithms, the presented algorithm is a two step algorithm including in...
Sorting is one of the operations on data structures used in a special situation. Sorting is defined ...
Interactive data analysis is often conveniently done on personal computers that have limited memory....
The effective performance of the external sorting is analyzed in terms of both time and I/O complexi...
Ordering is one of the process done before doing data processing. The sorting algorithm has its own ...
This paper presents an analysis of I/O (read and write) complexities of the external sorting algorit...
Computer scientists and engineers work with increasing amounts of information. These data are used f...
Data sets in large applications are often too massive to fit completely inside the computer’s intern...
Most of the large number of internal sorting algorithms are based on the use of arrays or linked lis...
To manage and organize large data is imperative in order to formulate the data analysis and data pro...
Abstract -This paper presents external sorting using data preprocessing which is a data mining techn...
[[abstract]]This paper presents an optimal external sorting algorithm for two-level memory model. ...
This paper presents an external sorting algorithm using linear-time in-place merging and without any...
Abstract:- Like other external sorting algorithms, the presented algorithm is a two step algorithm i...
The effective performance of the external sorting is analyzed in terms of both time and I/O complexi...
Like other external sorting algorithms, the presented algorithm is a two step algorithm including in...
Sorting is one of the operations on data structures used in a special situation. Sorting is defined ...
Interactive data analysis is often conveniently done on personal computers that have limited memory....
The effective performance of the external sorting is analyzed in terms of both time and I/O complexi...
Ordering is one of the process done before doing data processing. The sorting algorithm has its own ...
This paper presents an analysis of I/O (read and write) complexities of the external sorting algorit...
Computer scientists and engineers work with increasing amounts of information. These data are used f...
Data sets in large applications are often too massive to fit completely inside the computer’s intern...
Most of the large number of internal sorting algorithms are based on the use of arrays or linked lis...
To manage and organize large data is imperative in order to formulate the data analysis and data pro...