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Mining

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Papers tagged with "Mining"

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Vol 12, Issue 8 (August 2026) Data Mining

AI-Based Early Detection Of Mental Stress Among College Students Using Machine Learning Techniques

Mental Stress Among College Students Has Become A Significant Concern Due To Academic Pressure, Social Expectations, And Lifestyle Changes. Early Identification Of Stress Levels Can Help Institutions Provide Timely Psychological Support And...

Dr.M.Sivamani, Mrs.K.Priya, Mrs.A.Jagadeeswari, Mr.M.Arulprabhu
Vol 12, Issue 7 (July 2026) Computer Science

An Optimized Deep Learning Approach For Sentiment Classification Of Social Media Text Data

Of Late, Big Data And Big Data Analytics Has Fund Applications In Diverse Fields. Social Media And Allied Applications Is One Such Domain For Research, Where Artificial Intelligence Has Shown Unprecedented Impact. In This Paper A Mechanism...

Vikas Balhon, Dr. Neha Jain
Vol 12, Issue 6 (June 2026) Computer Science And Applications

Intelligent Learning Outcome Prediction Using Machine Learning Techniques

Student Performance Prediction Is An Important Application Of Educational Data Mining That Helps Institutions Identify Students Who May Require Academic Support At An Early Stage. This Study Proposes A Classification-based Approach To Predi...

Saraswathi P
Vol 12, Issue 5 (May 2026) Data Science

A Credibility-Weighted Framework For Robust Recommendation, Rating Aggregation, And Community Trust In Movie Platforms

Recommender Systems Often Reinforce Preference Homogeneity And Remain Vulnerable To Rating Manipulation. This Paper Proposes A Credibility-weighted Framework Integrating Review Usefulness Signals Into (1) Thematic Recommendation Modeling, (...

Musa Idris, Yusuf Ibrahim Yusuf
Vol 12, Issue 4 (April 2026) Computer Science And Engineering

CLUSTBIGFIM: MAPREDUCE CF FOR BIG DATA ITEMSET MINING

Frequent Itemset Mining (FIM) Is Essential For Discovering Patterns In Large-scale Data, But Traditional Algorithms Struggle With Big Data Volumes Due To Scalability Issues. ClustBigFIM Introduces A Hybrid MapReduce-based Framework That Int...

KOUSALYADEVI S, ISHWARYA L
Vol 12, Issue 4 (April 2026) Computer Science

TweetSense: Emotion Detection From Twitter Data Using Natural Language Processing

This Research Investigates The Application Of Natural Language Processing (NLP) Models For Sentiment Analysis Of Twitter Data, A Domain That Has Gained Immense Importance In The Era Of Digital Communication.[1] Twitter, As A Microblogging P...

Dhanashri Sanjaysingh Thakur, Ashwini Vinod Patil, Vaishnavi Sadashiv Shekokar, Vaishnavi Gopal Narkhede, Asmita Gajanan Wagh | Prof.Sujata Kapure

YOLO-MineSafe: A Vision-Based Abnormal Fall Detection And Emergency Alert Framework For Isolated Mining Workers

Mining Operations Consistently Rank Among The World’s Most Hazardous Occupational Environments, With Workers Stationed In Isolated Areas Facing Undetected Fall Risks, Sudden Health Emergencies, And Life-threatening Incidents That Current Sa...

Dr. A. Mary Beula, Kingston J, Kowshik S, Vishal J, Sameer Ahamed S
Vol 12, Issue 3 (March 2026) Computer Science And Engineering

ONLINE BANKING FRAUD DETECTION USING MACHINE LEARNING TECHNIQUES

The Rapid Growth Of Online Banking Has Significantly Increased Fraudulent Activities Such As Unauthorized Transactions, Phishing Attacks, Identity Theft, And Account Takeovers. Traditional Rule-based Systems Fail To Detect Evolving Fraud Pa...

Nagarajan V, Nandakumaran M, Naveen Kumar C, Mrs. S. Ramalakshmi
Vol 12, Issue 3 (March 2026) Computer Science And Engineering

Adaptive Web Recommendations For Personalized Browsing

The Approach Extracts Key Features From Web Documents To Form Concepts, Which Are Used To Build An Ontology Capturing Semantic Relationships Between Learning Materials. Web Usage Mining Analyzes Learner Interactions And Navigation Patterns,...

Mrs. P. Nirmala, Mr. M. Mutharasu, Mr. K. Kaviarasu, Mr. Z. Mohammed Nazrudeen
Vol 12, Issue 1 (January 2026) MACHINE LEARNING

OPTIMIZED PREDICTIVE MODEL FOR INSURANCE CLAIM FRAUD DETECTION AND ANALYSIS USING MACHINE LEARNING

Insurance Fraud Causes Significant Financial Losses And Is Difficult To Detect Due To Its Similarity To Legitimate Claims. The Growing Volume Of Data And Increasing Fraud Complexity Make Automated Detection Essential. Machine Learning Provi...

Shanmugapriya S, Mr.K.Mahadevan
Vol 11, Issue 5 (May 2025) Computer Science

Agricultural Crop Recommendation Based On Productivity

Agriculture Is The Backbone Of The Indian Economy. Farmers Often Struggle To Achieve Expected Crop Yields Due To Factors Like Unpredictable Weather, Soil Variability, And Lack Of Advanced Forecasting Systems. This Paper Presents A Machine L...

Indhreesh.R, Sekar M, Lokesh V, Vignesh Kumar.M
Vol 11, Issue 4 (April 2025) Computer Science

Predictive Breast Cancer Modeling Using Machine Learning

Breast Cancer Is A Form Of Tumor That Develops Within Breast Tissues And Remains The Most Prevalent Cancer Among Women Globally, Ranking As One Of The Leading Causes Of Female Mortality. This Survey Examines The Evolving Landscape Of Predic...

Brindhasri S V
Vol 11, Issue 4 (April 2025) Computer Science

PREDICTING ACADEMIC ACHIEVEMENT USING MACHINE LEARNING

Predicting Academic Achievement Using Machine Learning Plays A Significant Role In Shaping A Student’s Future Educational And Career Opportunities. In This Study, We Propose A Machine Learning-based System To Predict Student Academic Achiev...

Elakkiya T
Vol 11, Issue 3 (March 2025) Computer Application

Business Intelligence Using Artificial Intelligence

Business Intelligence (BI) Has Revolutionized Decision-making In Organizations By Leveraging Data-driven Insights. The Integration Of Artificial Intelligence (AI) Into BI Enhances Data Processing, Predictive Analytics, And Automation, Enabl...

Rajas Mestry, Siddhi Kadam
Vol 10, Issue 12 (December 2024) Machine Learning

Revolutionizing Risk Assessment: A Novel Machine Learning Approach For Motor Insurance Liability Prediction With Gen-AI Integration

Accurately Assessing Insurance Liability Is Crucial For Insurance Companies To Maintain Financial Stability And Minimize Losses. Traditional Manual Liability Prediction In The Insurance Industry Is Fraught With Challenges Such As Subjective...

Yogesh Selvaraj, Surendra Prabu R

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