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Papers tagged with "Selection"
Enhancing The Association Rule Mining Technique
The Term Association Can Be Used For Combination Of Objects. Additionally The Association Rule Mining Provides Us Information About The Association And Their Combinations With Other Objects. Therefore This Technique Is Very Useful For Vario...
BAYESIAN APPROACH FOR MODEL SELECTION IN TENSOR DECOMPOSITIONS
Various Tensor Decompositions Use Different Arrangements Of Factors To Explain Multi-way Data. Components From Different Decompositions Can Vary In The Number Of Parameters. Allowing A Model To Contain Components From Different Decompositio...
Integration of Simple Additive Weighting (SAW) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for Supplier Selection
Most Decision-making Problems Can Be Considered As Multiple Criteria Decision Making (MCDM) Problems And Should Be Solved By Different MCDM Method. The Main Advantage Of MCDM Is That It Can Give Managers Many Dimensions To Consider Related...
FEATURE SELECTION TECHNIQUES AND CLASSIFICATION ALGORITHMS
World Wide Web Has Led To An Immense Growth Of Information. So More Information Is Stored In Text Form. Text Mining Has Gained More Importance With The High Availability Of Information From Different Sources, Automatic Categorization Of Doc...
A RESULT ON: TEXT CATEGORIZATION USING SUPPORT VECTOR MACHINE
With The Increase In Use Of Internet And Development Of Digital Technology, Data Has Increased By Many Folds. Information In Raw Or Unorganized Form (such As Alphabets, Numbers Or Symbols) That Refer To, Or Represent, Conditions, Ideas, Or...
ENERGY CONSERVATIVE CLUSTERING IN WSN BASED ON NODE COOPERATION
Wireless Sensor Networks Are Widely Used To Create A Smart And Intelligent Environment That Relies On Sensory Data From Real World. The Sensor Nodes Contain A Battery Constraint, Which Limit The Network Lifetime. Therefore, The Deployment O...
ENVIRONMENTAL PREDICTION SYSTEM USING NAÏVE BAYES’ CLASSIFIER
Feature Selection Is A Key Pre-preparing Procedure For Choosing More Pertinent Highlights And Destroying The Repetitive Qualities. Finding The More Important Highlights For The Objective Is A Fundamental Movement To Enhance The Prescient Ex...
AN OLSR PROTOCOL USING MULTIPOINT RELAY SELECTION IN MANET
Flooding Is An Important Communication Primitive In Mobile Ad Hoc Networks. And Also Serves As A Building Block For More Complex Protocol Such As Routing Protocol. In Any Flooding Mechanism One Must Balance Reliability Against Message O...
TAXI RECOMMENDATION SYSTEM USING BIG DATA ANALYSIS AND DIJKSTRA ALGORITHM
With The Rapid Development Of Urbanization, The Imbalance Between Supply And Demand Of Taxi Is Becoming More And More Serious. For The Taxis, When They Are Cruising On The Street The Drivers Looking For Passengers, Most Drivers Rely On Thei...
MATERIAL SELECTION AND OPTIMIZATION OF ATV FOR SAE BAJA 2018
Baja SAE Is An Intercollegiate Competition To Design, Fabricate, And Race A Small, Single Passenger, Off-road Vehicle Powered By A 10 HP, Briggs & Stratton 4-Stroke Petrol Engine And To Bring Students Into A Real-world Engineering Scenario...
object detection in an image using Machine learning
In This Nimble And Fast Growing Era, It Is Very Necessary To Complete The Work In An Expeditious Manner. Machine’s Plays A Vital Role For Giving Accurate Output Every Time. But However, Training Of Machine Is Very Important In Order To Get...
DATA DRIVEN ANSWER RETRIEVAL IN OFFLINE QA SYSTEM
Searching Similar Questions From Historical Dataset Has Been Applied To Community Question Answering, With Well Theoretical Underpinnings And Great Practical Success. The Searched Question Has More Than One Answers Means We Can Get Pool Of...
Automatic Emotion Recognition using Hybrid Feature Extraction and DEEP Learning with EEG Signals
Automatic Emotion Recognition Is One Of The Most Challenging Tasks. It Is An Important Task For Computer To Understand The Human Status In Brain Computer Interface (BCI) Systems. Recently, Recognition Of Human Emotions Via Physiological Sig...
RELIABLE PACKET DELIVERY SCHEMES USING DISTRIBUTED COOPERATIVE ACCESS POINTS
Mobile Computing And Networking: Mobile Computing Is A Technology That Allows Transmission Of Data Via Computer Or Any Other Wireless Device Without Fixed Physical Link. In Wireless Sensor Networks [WSN], When Data Packets ( Unit Of Data) A...
A SURVEY ON: CLASS SPECIFIC CATEGORIZATION USING SUPPORT VECTOR MACHINE FEATURES FOR TEXT CATEGORIZATION
With The Increase In Use Of Internet And Development Of Digital Technology, Data Has Increased By Many Folds. Information In Raw Or Unorganized Form (such As Alphabets, Numbers Or Symbols) That Refer To, Or Represent, Conditions, Ideas, Or...