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FAKE NEWS DETECTION USING MACHINE LEARNING ALGORITHMS- A REVIEW
The Increasing Spread Of Fake News Poses A Serious Threat To The Credibility Of Information Sources And Public Discourse. Machine Learning Algorithms Have Been Increasingly Used To Identify Fake News And Differentiate Them From Real News. I...
AN IMPROVED DETECTION FRAMEWORK OF COVID-19 PATIENTS USING MACHINE LEARNING-BASED ENSEMBLE TECHNIQUES
COVID-19, A Novel Coronavirus, Is Currently Considered To Be A More Dangerous & Lethal Illness For The Human Body. In December 2019, The Coronavirus, Which Is Believed To Have Originated In Wuhan, China, Traveled Fast Over The Globe And Kil...
AN ENSEMBLE METHOD FOR CROP RECOMMENDATION WITH WEATHER AND SOIL PARAMETERS
India Is The World’s Second Largest Producer Of Wheat And Rice And World’s First Producer Of Several Other Crops. So, It’s Not Surprising That Agriculture Rules More Than Half Of India’s Population Economically. The System Predict Crop Base...
ANALYSIS OF COVID-19 SYMPTOMS FROM CLINICAL TEXT DATA USING MACHINE LEARNING
Technology Advancements Have A Rapid Effect On Every Field Of Life, Be It Medical Field Or Any Other Field. Artificial Intelligence Has Shown The Promising Results In Health Care Through Its Decision Making By Analysing The Data. COVID-19 H...
A STUDY ON DERMATOLOGICAL DISEASES USING CLASSIFICATION APPROACHES
Machine Learning Algorithms Are Widely Used In Medicine. Breast Cancer, Kidney Illness, Thyroid Disease, Diabetes, Cancer, Erythemato-squamous Diseases, And A Variety Of Other Ailments All Can Benefit From These Machine Algorithms. The Eryt...
DIABETES PREDICTION USING MACHINE LEARNING
Diabetes Is An Illness Caused Because Of High Glucose Level In A Human Body. Diabetes Should Not Be Ignored If It Is Untreated Then Diabetes May Cause Some Major Issues In A Person Like: Heart Related Problems, Kidney Problem, Blood Pressur...
CLASSIFICATION OF SKIN DISEASE WITH DATA MINING BASED ENSEMBLE APPROACH
Data Mining Play Very Important Role For Pattern And Classification Of Data From Large Amount Of Data Set. In This Research Work We Have Proposed Ensemble Approach For Classification Of Various Types Of Diseases And Compare The Classificati...
A BIG DATA ANALYTICS APPLICATIONS FOR FORECASTING RARE CUSTOMER COMPLAINTS
Centers For Medicare & Medicaid Services (CMS) Publishes Medicare Part C Star Ratings Each Year To Measure The Quality Of Care Of Medicare Advantage (MA) Contracts. One Of The Key Measures Is Complaints About The Health Plan, Which Is Captu...
SATELLITE IMAGE CLASSIFICATION WITH ENSEMBLE MODEL USING MACHINE LEARNING
Satellite Image Classification Process Involves Grouping The Image Pixel Values Into Meaningful Categories. Several Satellite Image Classification Methods And Techniques Are Available. In Existing K-medoid Clustering Technique Is Used For C...
NETWORK INTRUSION DETECTION USING HYBRID NB ALGORITHM ON NSL-KDD DATASET
As The Communication Industry Has Connected Distant Corners Of The Globe Using Advances In Network Technology, Intruders Or Attackers Have Also Increased Attacks On Networking Infrastructure Commensurately. System Administrators Can Attempt...
TEXT MINING USING AN ENSEMBLE CLASSIFIER
Text Mining Is The Progression Of Determining And Analyzing Hefty Amounts Of Formless Text Data Assisted By Software That Can Identify Concepts, Patterns, Topics, Keywords And Other Attributes In The Data. Expert, Labeled Data Is Necessary...
ENSEMBLE CLASSIFIER WITH ROTATION OF RANDOM FOREST FOR PREDICTION IN HEALTHCARE DATA
One Of The Rapid Growing Research Area In Health Care Organization Is Predicting Disease From Imbalanced Healthcare Data. To Convert These Data Into Useful Information And To Predicting Forthcoming Patient Disease Data Mining Approaches Are...