Improvement in K-Means Clustering for Information Retrieval
In the field of data science and machine learning, data clustering is a potent technique that
enables academics and businesses to glean valuable insights from massive and …
enables academics and businesses to glean valuable insights from massive and …
Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database
T Shrivastava, H Chaudhari, V Singh - ar** countries, including India, depend on agriculture as their primary source of
revenue. Earlier, crop cultivation was based on farmers' prowess. There are many types of …
revenue. Earlier, crop cultivation was based on farmers' prowess. There are many types of …
K-means clustering over distributed environment: A review
S Vats, V Sharma, P Rawat, A Ratra - Uncertainty in Computational …, 2025 - Elsevier
We are in the era of a hefty amount of information which is rising day by day and
warehoused electronically. For analyzing, with these large amount of data and making it …
warehoused electronically. For analyzing, with these large amount of data and making it …
Advanced frequent itemset mining algorithm (AFIM)
S Vats, V Sharma, M Bajaj, S Singh… - … -Based Decision Making, 2025 - Elsevier
Frequent itemset mining (FIM) aims to extract interesting patterns from databases, to gain
insights to support business decisions or provide higher-quality services. Nowadays, to …
insights to support business decisions or provide higher-quality services. Nowadays, to …
An Ensemble Sentiment Classification System of Twitter Data for Airline Services Analysis: Smart Use of Soft Computing
S Pokhriyal, S Gairola, S Vats, RS Rawat… - … Security and Artificial …, 2023 - ieeexplore.ieee.org
To perform the airline services analysis it is difficult to gather the data by means of
questionnaire investigation as it is both labour and time consuming. Using information …
questionnaire investigation as it is both labour and time consuming. Using information …
Comparative Analytic Study of Machine Learning Algorithms for PCOS Diagnosis and Outcome Prediction: An Empirical Analysis
N Bisht, M Bajaj, P Rawat, S Vats… - 2023 5th …, 2023 - ieeexplore.ieee.org
Women all around the world are affected by the endocrine condition known as polycystic
ovary syndrome (PCOS). There is still a need for comparative research to find variations in …
ovary syndrome (PCOS). There is still a need for comparative research to find variations in …
Intelligent System for Identification and Classification of Pneumonia using Machine Learning
The current study introduces an advanced system that utilizes machine learning
methodologies to accurately detect and categorize pneumonia cases from chest X-ray …
methodologies to accurately detect and categorize pneumonia cases from chest X-ray …
[PDF][PDF] Emoji Support: Predictive Mental Health Assessment Using Machine Learning: Unveiling Personalized Intervention Avenues
Mental health disorders, including anxiety, depression, and stress, profoundly impact
individuals' well-being and necessitate effective early detection for timely intervention. This …
individuals' well-being and necessitate effective early detection for timely intervention. This …
Wheat disease severity assessment using federated learning cnns for agriculture transformation
In order to stop the spread and improve the agricultural productivity it is important to rightly
detect and assess infection of wheat. The research's goal is to assess the seriousness of …
detect and assess infection of wheat. The research's goal is to assess the seriousness of …