A Computational Approach to TSP Performance Prediction Using Data Mining

2007 ◽  
Author(s):  
Paula Cecilia Fritzsche ◽  
Dolores Rexachs ◽  
Emilio Luque
Keyword(s):  
Data Mining ◽  
Performance Prediction ◽  
Computational Approach ◽  
Using Data

USING DATA MINING ALGORITHMS IN WEB PERFORMANCE PREDICTION

2009 ◽  
Vol 40 (2) ◽  
pp. 176-187 ◽  
Author(s):  
Leszek Borzemski ◽  
Marta Kliber ◽  
Ziemowit Nowak
Keyword(s):  
Data Mining ◽  
Performance Prediction ◽  
Web Performance ◽  
Data Mining Algorithms ◽  
Using Data ◽  
Mining Algorithms

scholarly journals Employee Performance Prediction Using EPP Framework

2020 ◽  
pp. 297-302
Author(s):  
M. Karthika ◽  
T. Meyyappan
Keyword(s):  
Data Mining ◽  
Performance Prediction ◽  
Employee Performance ◽  
Research Work ◽  
Prediction Methods ◽  
Internal Factors ◽  
Using Data ◽  
Proper Solutions

In the today's industrial world, every company’s growth is depends on their employees. The company achievements are completely based on the employees in the organization. The employees’ performances are measured by the targets and achievements. But some external and internal factors affect the employees’ goals and achievements. Hence, the company has to find the performance of every employee and make proper solutions to improve the performance. This research work proposes a fully automated framework which can perform deep analysis of employees’ performance and job fitness using data mining and prediction methods.

scholarly journals A Review on Soil Property Detection using Machine Learning Approach

2018 ◽  
Vol 4 (8) ◽  
pp. 6
Author(s):  
Smriti Singhatiya Dr. Shivnath Ghosh
Keyword(s):  
Data Mining ◽  
Performance Prediction ◽  
Agricultural Sector ◽  
Crop Productivity ◽  
Indian Economy ◽  
Soil Database ◽  
Significant Relationships ◽  
Machine Learning Approach ◽  
Key Factor ◽  
Using Data

The agricultural sector is the backbone of the Indian economy. Although focused on industrialization, agriculture remains an important sector of the Indian economy, both in terms of contribution to gross domestic product (GDP) and jobs for millions of people across the country. One of the key factor for productive agriculture is soil. The purpose of the work is to predict the type of terrain using data mining classification methods. Agricultural properties and soil ownership play a crucial role in agricultural decision-making. This research sought to evaluate various mining association techniques and apply them to a soil database to determine if significant relationships could be created. Performance prediction is one of the applications that uses the concept of data mining to increase crop productivity. This makes the problem of crop productive performance is an interesting challenge. An earlier performance prediction was made taking into account the cultivator's experience with a particular crop and culture. This work introduces a system that uses data mining techniques to predict the category of analyzed soil datasets.

scholarly journals Student Performance Prediction System using Data Mining Approach

IJARCCE ◽  
2017 ◽  
Vol 6 (3) ◽  
pp. 833-839 ◽  
Author(s):  
Kalpesh P. Chaudhari ◽  
Riya A. Sharma ◽  
Shreya S. Jha ◽  
Rajeshwari J. Bari
Keyword(s):  
Data Mining ◽  
Student Performance ◽  
Performance Prediction ◽  
Prediction System ◽  
Data Mining Approach ◽  
Using Data
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