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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...
KIDNEY STONE DETECTION USING DEEP LEARNING
Kidney Stones Are A Common Complaint Worldwide, Causing Many People To Admit To Emergency Rooms With Severe Pain. Various Imaging Techniques Are Used For The Diagnosis Of Kidney Stone Disease. Specialists Are Needed For The Interpretation A...
DETECTING GROUP SHILLING ATTACKS IN ONLINE RECOMMENDER SYSTEMS BASED ON BISECTING K-MEANS CLUSTERING
Existing Shilling Attack Detection Approaches Focus Mainly On Identifying Individual Attackers In Online Recommender Systems And Rarely Address The Detection Of Group Shilling Attacks In Which A Group Of Attackers Colludes To Bias The Outpu...
Warehouse Monitoring System Using Network Security
Real Time Parameter Monitoring For The Products In The Warehouse Is An Extremely Necessary Task But There Are Many Challenges Due To Great Quantities And The Movement Of Products. In Case Of Being A Company, Product Status Monitoring Is Alw...
AN INVESTIGATION OF VARIOUS TECHNIQUES TO PERFORM EFFICIENT DOCUMENT CLUSTERING
Clustering Means That The Same Things Are Kept Together. Text Clustering Is A Clustering Application, Which Refers To The Mixture Of Linked Text Documents. Document Clustering Plays A Vital Role In The Development Of Search Engines, Where T...
AGRICULTURAL ANALYSIS USING DATAMINING AND MACHINE LEARNING
Agriculture Is The Most Importance In India. The Latterday Technologies Can Change The Situations Of Farmers And Decision Makers In Agricultural Field. To Analyze The Dataset Of Agriculture, Python Is Used To Predict The Crop Production. We...
AN UPDATED K MEANS CLUSTERING ALGORITHM FOR EFFICIENT TEXT CLUSTERING
The Proportion Of Data Recorded And The Substance Information Open On The Web Has Been Shockingly Growing, Assembling And Amplifying With Consistently. Such Data And Information Which Is Available In High Voluminous Structure Is Truly Not O...
REVIEW ON IDENTIFICATION OF DISEASE IN LEAVES USING FUZZY CLASSIFIER
Vegetables Play A Major Role In Indian Agriculture. Disease Detection Is The Key To Prevent The Losses In The Yield And Quantity Of Agriculture. In India Agriculture Contributes About 17% Of Total Indian GDP.Health Monitoring On Leaf Is Ver...
DETECTION OF LEUKEMIA AND ITS TYPES USING IMAGE PROCESSING AND MACHINE LEARNING
Leukemia (blood Cancer) Begins In The Bone Marrow And Causes The Formation Of A Large Number Of Abnormal Cells. The Most Common Types Of Leukemia Known Are Acute Lymphoblastic Leukemia (ALL), Acute Myeloid Leukemia (AML), Chronic Lymphocyti...
Proposed Anomaly Detection Utilizing Two Phase K-Means Clustering Algorithm
Information Mining Is An Effective Information Investigation Process Which Is Utilized To Discover The Examples And Relationship Of An Enormous Database. Bunching Is A Well Known System Of Information Digging For Unaided Learning In Which N...
Forensic Analysis using document clustering and searching
Now Days, Forensic Analysis Is Doing Crucial Job In Crime Investigation. The Crimes For Investigation Are Embrace Hacking, Drug Trafficking, Erotica, Various Stealing Crimes Etc. In Forensic Analysis Thousands Of Files Are Generally Examine...
A Survey on MIR for music and mood detection
Music Information Retrieval (MIR) Is The Task Of Retrieving Information From The Music And It Is The Fastest Growing Area Of Music Industry. Music Information Retrieval Basically Deals With The Problems Of Querying And Retrieving Certain Ty...
DUAL PATH BASED DATA GATHERING BY MOBILE NODE THROUGH LOAD BALANCED CLUSTERING IN WIRELESS SENSOR NETWORKS
A Three-layer Framework Is Proposed For Mobile Data Collection In Wireless Sensor Networks, Which Includes The Sensor Layer, Cluster Head Layer, And Mobile Collector (called SenCar Layer, The Framework Employs Distributed Load Balanced...