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Papers tagged with "Means"
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,...
ProcureAi: An AI-Driven Procurement Spend Intelligence Platform For Automated Anomaly Detection, Supplier Optimisation And Predictive Expenditure Forecasting
- Enterprises Routinely Lose Between Three And Eight Percent Of Addressable Procurement Spend To Fragmentation, Duplicate Payments, Maverick Buying, Contract Price Leakage, And Unmanaged Tail Spend. This Paper Presents ProcureAI, A Full-sta...
LRFS : Online Shopper's Behaviour - Based Efficient Customer Segmentation Model
Online Shopping Has Become A Dominant Platform In Modern Digital Commerce. Understanding Customer Behavior Is Essential For Improving Marketing Strategies And Increasing Revenue. This Paper Proposes An Enhanced Customer Segmentation Model N...
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...
CRIMINAL FACE RECOGNITION SYSTEM USING ARTIFICIAL INTELLIGENCE
This Project, Titled "Criminal Face Recognition System Using AI", Proposes An Intelligent System Designed To Identify And Track Individuals With Criminal Records Through Realtime Facial Recognition, Thereby Aiding Law Enforcement Agencies I...
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...
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...
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...
Prediction of Customer Personality Analysis Using K-Means Algorithm
Customer Personality Analysis Is The Process Of Understanding Individual Traits, Behaviours, And Characteristics Of Customers To Gain Insights Into Their Preferences, Decision-making Patterns, And Purchasing Habits. This Is Done Through Var...
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...
Classification of Plant Leaf Disease Using Machine Learning & Pre-Processing Techniques
Agriculture Is The Backbone Of The Indian Economy. In India Itself, Around 65% Of The Population Is Based On Agriculture. Due To Changes In Weather & Local Conditions, The Crops Get Infected & They Get Infected By Various Diseases Which Res...
HYBRID MACHINE LEARNING TECHNIQUES FOR DETECTING INTRUSION DETECTION SYSTEMS AND ANALYSING THE TRUST-BASED WSN
Machine Learning Can Deliver Real-time Solutions That Optimise Network Resource Use, Prolonging Network Lifetime. It Can Process Autonomously Without Being Programmed Externally, Making The Process Simpler, More Efficient, Less Expensive, A...
A Review on Product Recommendation Engine Using K Means Clustering & Collaborative Filtering
In This Paper, Age Of Information Load, It Becomes A Herculean Task For User To Get The Relevant Things From Vast Number Of Information. This Huge Number Of Data Demand Specially Designed Recommender System That Can Plays An Important Role...
IMAGE-BASED PLANT DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK
Rapid Human Population Growth Requires Corresponding Increase In Food Production. Easily Spreadable Diseases Can Have A Strong Negative Impact On Plant Yields And Even Destroy Whole Crops. That Is Why Early Disease Diagnosis And Prevention...