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Papers tagged with "Cluster"
A Hybrid Machine Learning Framework For Explainable Insurance Risk Assessment
Insurance Providers Increasingly Rely On Analytical Solutions To Improve Underwriting Consistency, Reduce Processing Time, And Optimize Risk Assessment. Traditional Underwriting Approaches Often Depend On Manual Review And Expert Judgment,...
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...
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,...
A Comparative Study Of SVD And NMF For Semantic Text Clustering Using KMeans
The Exponential Growth Of Unstructured Text Data, Such As News Articles, Social Media Posts, And Online Discussions, Has Created The Need For Effective Methods Of Semantic Organisation. Text Clustering Plays A Vital Role In This Context By...
SMART EXPENSE TRACKER WITH GOAL FORECASTING AND USER BEHAVIOR CLUSTERING USING AI
Managing Personal Finances Effectively Has Become A Necessity In Today’s Fast-paced Lifestyle. While Several Expense Tracking Applications Exist, Most Focus Only On Recording Income And Expenses, Offering Basic Summaries Without Deeper Anal...
FASTER AMBULANCE DEPLOYMENT WITH ANALYTICS
Every Day, The Number Of Traffic Accidents Rises As The Automobile Population Increases. According To A Survey By The World Health Organization (WHO), 1.3 Million People Die And 50 Million Are Wounded Annually Around The Globe. Most People...
Flight Delays Prediction
Flight Delay Prediction Remains A Significant Challenge In Modern Air Transportation Management. This Paper Presents A Comparative Analysis Of Machine Learning Approaches—including Classification-based, Ensemble-based, And Hybrid Predictive...
Review On Weather-Based Crop Yield Prediction Using Big Data Analytics
Agriculture Is The Indian Economy's Backbone. Big Data Analytics Are Becoming More Precise And Feasible In Agricultural Research. Current Water Scarcity, Uncontrollable Costs Owing To Demand-supply Imbalances, And Weather Instability Need F...
Optimal Routing in Wireless Sensor Network for Enhancing Network Lifetime and Reduced Latency
Several Real Life Applications In Wireless Networks As Well As IoT Rely On Routing Of Wireless Sensor Networks. However, They Face The Invariable Challenge Of Limited Energy Resources Which Makes It Critical To Design Data Transfer Mechanis...
GEO ENRICHED EXPLORATION AND AMENITY CLUSTERING FOR HOMESEEKERS AND BUSINESS
For Home Seekers And Businesses, Geo-enriched Exploration And Amenities Clustering Could Revolutionize The Way They Discover New Places To Live. Using K-Means Clustering Algorithm, We Present A Machine Learning-based Solution For Grouping A...
HEART DISEASE PREDICTION USING DEEP LEARNING TECHNIQUES
The Term "heart Disease" Refers To Several Types Of Heart Conditions. The Most Common Type Of Heart Disease In The United States Is Coronary Artery Disease (CAD), Which Affects The Blood Flow To The Heart. Decreased Blood Flow Can Cause A H...
A PHYSICAL LAYER SECURITY MECHANISM FOR D2D NETWORKS AGAINST EAVESDROPPING ATTACKS
Conventional Networks With The Mediation Of Base Station Are Being Explored To Be Replaced At Shorter Distances By D2D Networks. To Avoid Network Congestion, The Fundamental Goal Is To Distribute The Load. Device-to-device (D2D) Communicati...
Sustainable Consolidated System For Steel Material Grouping
Various Areas Have Shown Interest In Partial Multi-view Clustering. The Majority Of Known Approaches Use Distinct Processes To Generate Unified Representations And Identify Clustering Indications. This Independent Approach Avoids Two Learni...
AN OPTIMIZED ENERGY EFFICIENT ROUTING PROTOCOL WIRELESS SENSOR NETWORKS BASED ON THRESHOLD-LEACH ALGORITHM
This Paper Focuses On The Application Of Wireless Sensor Networks (WSNs) In Fields Wherein Human Intervention Is Infeasible. One Of The Key Challenges In Wireless Networks Is The Enhancement Of Network Lifetime That Enhances The Efficiency...
CUSTOMER SEGMENTATION ANALYSIS USING RFM MODEL AND K-MEAN CLUSTERING
Data Mining Applied To The Field Of Commercialization Allows, Among Other Aspects, To Discover Patterns Of Loyalty In Customer, In Today’s Business Environment Regardless Of What Type Of Industry We Are In Or What Kinds Of Products And Serv...