Proselytizing the potential of influencer marketing via artificial intelligence: mapping the research trends through bibliometric analysis
Artificial intelligence represents the cutting-edge frontier in influencer marketing, offering a
novel approach to leveraging social media data. This study aims to provide a …
novel approach to leveraging social media data. This study aims to provide a …
k-Nearest Neighbor Neural Network Models for Very Short-Term Global Solar Irradiance Forecasting Based on Meteorological Data
CR Chen, U Three Kartini - Energies, 2017 - mdpi.com
This paper proposes a novel methodology for very short term forecasting of hourly global
solar irradiance (GSI). The proposed methodology is based on meteorology data, especially …
solar irradiance (GSI). The proposed methodology is based on meteorology data, especially …
Efficient classification model of web news documents using machine learning algorithms for accurate information
Web applications are regarded as a popular platform to exchange information with users.
These applications have to be able to process Big-Data quickly and to serve users in a …
These applications have to be able to process Big-Data quickly and to serve users in a …
An improved hybrid classification of brain tumor MRI images based on conglomeration feature extraction techniques
The brain seems to be the most complex organ in the human body and operates as the
central part of the nervous system. The classification of brain tumors is the most complicated …
central part of the nervous system. The classification of brain tumors is the most complicated …
[PDF][PDF] Analysis of data mining techniques for weather prediction
F Sheikh, S Karthick, D Malathi… - Indian Journal of …, 2016 - researchgate.net
Abstract Background/Objectives: To forecast weather, which is one of the greatest
challenges in meteorological department. Weather prediction is necessary so as to inform …
challenges in meteorological department. Weather prediction is necessary so as to inform …
[PDF][PDF] Comparative analysis of text classification algorithms for automated labelling of Quranic verses
The ultimate goal of labelling a Quranic verse is to determine its corresponding theme.
However, the existing Quranic verse labelling approach is primarily depending on the …
However, the existing Quranic verse labelling approach is primarily depending on the …
Significance of machine learning algorithms in professional blogger's classification
Outreach of internet has opened new horizons for the people who want quick and
widespread dissemination of their ideas, and the tool to do so is blogging. Bloggers can …
widespread dissemination of their ideas, and the tool to do so is blogging. Bloggers can …
An improved k-nearest neighbor with crow search algorithm for feature selection in text documents classification
A Allahverdipour… - Journal of Advances in …, 2018 - jacr.sari.iau.ir
The Internet provides easy access to a kind of library resources. However, classification of
documents from a large amount of data is still an issue and demands time and energy to find …
documents from a large amount of data is still an issue and demands time and energy to find …
[PDF][PDF] Automating quranic verses labeling using machine learning approach
Classification of Quranic verses into predefined categories is an essential task in Quranic
studies. However, in recent times, with the advancement in information technology and …
studies. However, in recent times, with the advancement in information technology and …
A group-based feature selection approach to improve classification of Holy Quran verses
Most existing feature selection approach is limited to determine features from a single
source of data. In this paper, a feature selection approach is proposed to consider multiple …
source of data. In this paper, a feature selection approach is proposed to consider multiple …