scholarly journals Comparative Analysis of Optical Multicarrier Modulations: An Insight into Machine Learning-based Multicarrier Modulation

2021 ◽  
Author(s):  
Augustus IBHAZE ◽  
Frederick EDEKO ◽  
Patience ORUKPE
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Multicarrier Modulation ◽  
Insight Into

Comparative Analysis of Machine Learning Techniques Using Predictive Modeling

2020 ◽  
Vol 13 ◽  
Author(s):  
Ritu Khandelwal ◽  
Hemlata Goyal ◽  
Rajveer Singh Shekhawat
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Data Science ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Future Trends ◽  
Data Set ◽  
Learning Stage ◽  
Learning Techniques ◽  
Different Types

Introduction: Machine learning is an intelligent technology that works as a bridge between businesses and data science. With the involvement of data science, the business goal focuses on findings to get valuable insights on available data. The large part of Indian Cinema is Bollywood which is a multi-million dollar industry. This paper attempts to predict whether the upcoming Bollywood Movie would be Blockbuster, Superhit, Hit, Average or Flop. For this Machine Learning techniques (classification and prediction) will be applied. To make classifier or prediction model first step is the learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations. Methods: All the techniques related to classification and Prediction such as Support Vector Machine(SVM), Random Forest, Decision Tree, Naïve Bayes, Logistic Regression, Adaboost, and KNN will be applied and try to find out efficient and effective results. All these functionalities can be applied with GUI Based workflows available with various categories such as data, Visualize, Model, and Evaluate. Result: To make classifier or prediction model first step is learning stage in which we need to give the training data set to train the model by applying some technique or algorithm and after that different rules are generated which helps to make a model and predict future trends in different types of organizations Conclusion: This paper focuses on Comparative Analysis that would be performed based on different parameters such as Accuracy, Confusion Matrix to identify the best possible model for predicting the movie Success. By using Advertisement Propaganda, they can plan for the best time to release the movie according to the predicted success rate to gain higher benefits. Discussion: Data Mining is the process of discovering different patterns from large data sets and from that various relationships are also discovered to solve various problems that come in business and helps to predict the forthcoming trends. This Prediction can help Production Houses for Advertisement Propaganda and also they can plan their costs and by assuring these factors they can make the movie more profitable.

scholarly journals Comparative analysis of machine learning algorithms for prediction of smart grid stability †

2021 ◽  
Author(s):  
Ali Kashif Bashir ◽  
Suleman Khan ◽  
B Prabadevi ◽  
N Deepa ◽  
Waleed S. Alnumay ◽  
...  
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Smart Grid ◽  
Learning Algorithms ◽  
Machine Learning Algorithms

scholarly journals Comparative Analysis of Detection of Email Spam With the Aid of Machine Learning Approaches

2021 ◽  
Vol 1022 ◽  
pp. 012113
Author(s):  
Mangena Venu Madhavan ◽  
Sagar Pande ◽  
Pooja Umekar ◽  
Tushar Mahore ◽  
Dhiraj Kalyankar
Keyword(s):  
Machine Learning ◽  
Comparative Analysis ◽  
Learning Approaches ◽  
Email Spam

Motivation Configuration of Bluxury Tourism Behavior: An FsQCA Application

2021 ◽  
pp. 193896552110144
Author(s):  
Da Shi ◽  
Bowen Yi ◽  
Fangfang Shi ◽  
Simone Satta
Keyword(s):  
Comparative Analysis ◽  
Complexity Theory ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Complex Configuration ◽  
Physical Factors ◽  
Motivation Theory ◽  
Main Motivation ◽  
Push And Pull ◽  
Insight Into

This study investigates the motivation configuration of bluxury tourism behavior. According to complexity theory and push and pull motivation theory, we establish a framework of complex configuration conditions, including push forces, pull forces, and constraints that lead to bluxury tourism. Based on fuzzy-set qualitative comparative analysis, we identified seven main motivation configurations of bluxury tourism behavior covering three core factors: physical factors, seeking/exploration in push forces, and intangible factors in pull forces. In addition, combinations of constraints in the configuration demonstrate various paths leading to bluxury tourism behavior. These findings provide unique insight into bluxury tourism participation.

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