What is Classification

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The process of splitting a continuous variable into groups or categories. On a map, the classified variable is presented as gradations of a color. Learn more in: Using Geographic Information Systems in Educational Research: A Beginner's Exercise

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The process of assigning class label to unknown data points based on learned facts. Learn more in: Developing an Effective Classification Model for Medical Data Analysis

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The process related to categorization, the process in which ideas and objects are recognized, differentiated, and understood. Most commonly used classifiers (algorithms) are K-nearest Neighbors (KNN), Hidden Markov Model (HMM), Gaussian Mixture Model (GMM), Support Vector Machines (SVM), and Artificial Neural Networks (ANN). Learn more in: Affectively Enhanced Subs: Visualization of Auditory Events With Color Scales and Animation

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This a supervised learning where the input data is tagged with an output data. The goal of classification is to predict the output data based on the input data. Learn more in: Data Avalanche: Harnessing for Mobile Payment Fraud Detection Using Machine Learning

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In data mining, classification is a supervised learning activity concerned about developing models that can accurately predict the class labels of vectors whose classes are unknown. Learn more in: Feature Selection Algorithm Using Relative Odds for Data Mining Classification

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Classification is an application of pattern recognition by the assignment of the data instance with label. The assignment is realized by the measurement using certain dissimilarity metrics function. Learn more in: Use of PCA Solution in Hierarchy and Case of Two Classes of Data Sets to Initialize Parameters for Clustering Function: An Estimation Method for Clustering Function in Classification Application

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Any practical or theoretical framework that helps to distinguish among categories, degrees, or dimensions of any human and theoretical enterprise. Learn more in: Of Paradigms, Theories, and Models: A Conceptual Hierarchical Structure for Communication Science and Technoself

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The process in which the objects are understood and group into classes. Learn more in: Predicting the Academic Performance of Students Using Utility-Based Data Mining

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Recognizing the states of the categorized objective to solve a grouping, detecting, or stratifying problem. Learn more in: Deep Learning Models for Physiological Data Classification of Children During Computerized Auditory Tests: Deep Learning-Based Emotion Recognition in Child-Computer Interaction

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The process of determining which of the existing classes a sample belongs to. Learn more in: Comparison of Machine Learning Algorithms in Predicting the COVID-19 Outbreak

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Predicts the target class for each data points. Learn more in: Health Information System

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A data mining algorithm that creates a step-by-step guide to determine the output of a new data instance. Learn more in: Automated Framework for Software Process Model Selection Based on Soft Computing Approach

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A supervised learning task where the ground truth labels are integer numbers. Learn more in: From Tf-Idf to Learning-to-Rank: An Overview

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A typical data mining task in which cases of a dataset are divided into different classes or groups according to similarity or distance. Learn more in: Variable Importance Evaluation for Machine Learning Tasks

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Categorization of the data considering its characteristics. Learn more in: XHAC: Explainable Human Activity Classification From Sensor Data

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Classification refers to as assigning a physical object or incident into one of a set of predefined categories. Learn more in: A Novel Fuzzy Logic Classifier for Classification and Quality Measurement of Apple Fruit

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Classification refers mainly to WHO’s reference classifications. Learn more in: Lative Logic Accomodating the WHO Family of International Classifications

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The established criteria or procedure to categorise or group together elements that are similar or dissimilar. Learn more in: Detecting Bank Financial Fraud in South Africa Using a Logistic Model Tree

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A classification is a statement about who is eligible to view a publication. In New Zealand, the Classification Office is responsible for classifying all publications that may be harmful and need to be restricted (e.g. R18) or banned. Learn more in: Game Literacy: Assessing its Value for Both Classification and Public Perceptions of Games in a New Zealand Context

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It is a problem of identifying an appropriate class label for a new pixel (or observation) based on a training set of data whose class labels are known. Learn more in: A New Tree-Based Classifier for Satellite Images

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The action or process of categorizing or grouping something. Learn more in: A Survey on Data Mining Techniques in Research Paper Recommender Systems

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This is the technique used to separate the categorical values on the basis of their positivity and negativity. Learn more in: A Hybridized GA-Based Feature Selection for Text Sentiment Analysis

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An approach to separate data into classes. Learn more in: Acoustic Presence Detection in a Smart Home Environment

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It is a process to categorize the objects so that they can be differentiated from others. Learn more in: Wolf-Swarm Colony for Signature Gene Selection Using Weighted Objective Method

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Objects are assigned to pre-defined classes based on similarity. Similar objects are assigned to the same class. The function defining similarity is given by examples for the assignment. These are objects which have been assigned to a class before. The algorithm needs to learn a function which reflects the class definition as determined by the learning examples. Learn more in: Text Mining

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Classification is a supervised machine learning technique which predicts the classification label of a given instance. Learn more in: Data Mining for Business Analytics in Retail

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It is a data mining function that assigns items in a collection to target categories or classes. Learn more in: Data Mining and Machine Learning Approaches in Breast Cancer Biomedical Research

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Classification is a commonly applied supervised learning method that assigns one of the predefined classes to new instances. Learn more in: Machine Learning and Optimization Applications for Soft Robotics

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Assignment of an input feature value to a certain class. Learn more in: Mapping Artificial Emotions into a Robotic Face

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It means to either attribute to a condition of stable or failure. A value of 1 is assigned to the stable condition of rock slope while a value of - 1 is assigned to the failure condition of rock slope. Learn more in: Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques

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The process of categorizing data based on certain characteristics. Learn more in: Animal Activity Recognition From Sensor Data Using Ensemble Learning

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It is a process similar to clustering except that it comes under supervised learning in contrast to clustering, which comes under unsupervised learning approach. Learn more in: An Uncertainty-Based Model for Optimized Multi-Label Classification

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Classification is a technique in which the data are grouped into a given number of classes on the basis of some similarity and constraints. The main aim of the classification technique is to shrink the measure of the error. Learn more in: Optimizing Learning Weights of Back Propagation Using Flower Pollination Algorithm for Diabetes and Thyroid Data Classification

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?s a process related to categorization, the process in which ideas and objects are recognized, differentiated, and understood. Learn more in: Identification of Agricultural Crop Residues Using Non-Destructive Methods

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Arrangement of objects into groups of items according to their observed similarities. Learn more in: The Application of Big Data and Cloud Computing Among Smallholder Farmers in Sub-Saharan Africa

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In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known. Learn more in: Big Data Analytics in Action: Examples

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Process by which image data is analyzed into ground-truth categories, such as tissue type. Learn more in: Aspects of Visualization and the Grid in a Biomedical Context

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The process by which an algorithm/model segregates the feature space into different classes. Learn more in: Threat Detection in Cyber Security Using Data Mining and Machine Learning Techniques

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The process of classification identified and assigned each pixel of all channels of the multi-spectral images to a particular class or theme based on the statistical characteristics of the pixel brightness values known as spectral signatures. Learn more in: Developments of the Digital World of Remote Sensing and GIS, Their Comparison to, and the Importance of the Human Side of Information Reference Services

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Classification is a technique in which the data are grouped into a given number of classes on the basis of some similarity and constraints. The main aim of the classification technique is to shrink the measure of the error. Learn more in: Insulin DNA Sequence Classification Using Levy Flight Bat With Back Propagation Algorithm

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Is the task that assigns items to a set of classes. Learn more in: Classification and Recommendation With Data Streams

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It is an act of discovering a function either model that defines and differentiates data concepts or classes for future prediction. Learn more in: A Survey on Recent Recommendation Systems for the Tourism Industry

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A process in which ideas and objects (inter alia terms and theories) are recognized, differentiated, and understood. Learn more in: Towards a Classification Framework for Concepts of Innovation for and From Emerging Markets

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The purpose of classification is to predict which of the pre-labeled data groups similar data belong to. Learn more in: Decision Support Proposal for Imbalanced Clinical Data

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The process of categorizing a set of observations into two or more categories and deciding to which of them a new observation belongs. Learn more in: Interpreting Brain Waves

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A classification is allocation, categorization, and analysis of data according to its similarities. Learn more in: Big Data Analytics: Educational Data Classification Using Hadoop-Inspired MapReduce Framework

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A process of recognizing patterns between different data based on certain relevant characteristic. Classification process could be supervised or unsupervised. Learn more in: Automated Technology Integrations for Customer Satisfaction Assessment

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A type of computational problems where the goal is to assign an observation or instance to one of known classes of data. Learn more in: Class-Dependent Principal Component Analysis

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A supervised learning method in machine learning, which is used to identify unknown instance categories based on known instances. Learn more in: Segmented Dynamic Time Warping: A Comparative and Applicational Study

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A process of putting objects on previously defined classes (supervised) or not defined (unsupervised) according to defined attributes by using specific algorithms. Learn more in: Bio-Inspired Algorithms for Feature Selection: A Brief State of the Art

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The process of systematic arrangement in groups or categories according to established criteria. Learn more in: Heart Sound Data Acquisition and Preprocessing Techniques: A Review

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A data mining task that builds a predictive model to predict the target label of an unknown test record. Learn more in: Deep-Auto Encoders for Detecting Credit Card Fraud

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Classification is kind of supervised machine learning which is used to classify every element in a dataset into one of the predefined set of groups or classes based on some similarities or homology. There are many machine learning techniques used for classification like Decision Trees, Support Vector Machine, Artificial Neural Networks, and Bayesian Classification etc. Learn more in: Crow-ENN: An Optimized Elman Neural Network with Crow Search Algorithm for Leukemia DNA Sequence Classification

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Categorization of data and assigns labels or classes to the items in a collection. Learn more in: Information Science in the Analytics of Healthcare Data

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It is an ordered set of related categories used to group data according to its similarities. Learn more in: Fuzzy Logic in Health Services: Integrated Fuzzy Method for Multi-Criteria Inventory Classification

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Inductive task where a predictive model is learnt from objects labeled with a class and whereby it is possible to predict the class of new objects. Learn more in: Data Mining and the KDD Process

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The process of classification identified and assigned each pixel of all channels of the multi-spectral images to a particular class or theme based on the statistical characteristics of the pixel brightness values known as spectral signatures. Learn more in: Parallel Development of Three Major Space Technology Systems and Human Side of Information Reference Services as an Essential Complementary Method

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A data mining category of data mining challenges that seek to group data into already known sets (classes); hence, the training of the algorithms is considered to have been supervised before the actual task is executed. Learn more in: Quality and Effectiveness of ERP Software: Data Mining Perspective

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A process of categorized the item in a dataset into predefined labels (such as positive and negative). Learn more in: Using Sentiment Analytics to Understand Learner Experiences in Serious Games

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Data mining task in which the goal is to build a model that assigns class labels to previously unseen and unlabeled examples. Learn more in: Knowledge Discovery in Databases and Data Mining

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Objects that are indiscernible based on their attribute values are belongs to same class and we call it as classification. Learn more in: A Comprehensive Review of Nature-Inspired Algorithms for Feature Selection

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Classification in the machine learning is defined as the supervised learning technique where problem is to identify the class of the new observation with the already developed observations through the labeled data. Learn more in: Patient Data De-Identification: A Conditional Random-Field-Based Supervised Approach

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The most known and commonly used supervised learning method is classification. This method categorizes new unlabeled samples into predefined classes. Learn more in: Machine Learning Techniques for IoT-Based Indoor Tracking and Localization

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A problem that identifies the class of the sample according to data set. Learn more in: Interval Type II Fuzzy Number Generation From Data Set Applied to Sedation Stage Classification

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It is task of classifying the data into predefined number of classes. It is a supervised approach. The tagged data is used to create classification model that will be used for classification on unknown data. Learn more in: Heart Disease Diagnosis: A Machine Learning Approach

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Determining of the category to which the data belongs according to the learning set. Learn more in: Predicting Human Actions Using a Hybrid of ReliefF Feature Selection and Kernel-Based Extreme Learning Machine

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It is defined as the action of categorizing something. Learn more in: Minimax Probability Machine: A New Tool for Modeling Seismic Liquefaction Data

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Grouping of different objects into mutually exclusive classes. Learn more in: Default Probability Prediction of Credit Applicants Using a New Fuzzy KNN Method with Optimal Weights

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Assignment of labels to input patterns based on their extracted features. Learn more in: Non-Manual Control Devices: Direct Brain-Computer Interaction

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Form of data analysis that models the relationships between a number of variables and a target feature. The target feature contains nominal values that indicate the class to which each observation belongs. Learn more in: Composite Classifiers for Bankruptcy Prediction

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Inductive task where a predictive model is learnt from objects labeled with a class and whereby it is possible to predict the class of new objects. Learn more in: Methods and Techniques of Data Mining

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Classification is the scientific procedure for predicting the class label or category of given test data objects. Classification is also a task of predictive modelling in which a mapping function is approximated using inputted feature variables to produce output target variable. Learn more in: Machine Learning and Its Application in Monitoring Diabetes Mellitus

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A compact clustering and description of a given instance according to common traits, behaviours and structural features. Learn more in: Audio-Visual Speech Emotion Recognition

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Separation of observed data into several mutually-exclusive categories. Learn more in: An Experimental Sensitivity Analysis of Gaussian and Non-Gaussian Based Methods for Dynamic Modeling in EEG Signal Processing

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Classification refers to as assigning a physical object or incident into one of a set of predefined categories. Learn more in: Face Recognition in Unconstrained Environment

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In the context of Deep Learning applications, a classification task consists of assigning a label to each sample of the input data based on the learned features and relationships. In this chapter, the classification task consists of assigning a Chest X-Ray image the label “Positive for COVID-19” or “Negative for COVID-19”. Learn more in: Deep Learning Applied to COVID-19 Detection in X-Ray Images

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It is a process of predicting the class label of an object for which the class label is unknown; typically a model is built using labeled samples which distinguishes objects of different classes. Learn more in: Efficient High Dimensional Data Classification

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A supervised learning process used to predict the class label of a data instance. Training set is used to generate a model and it can be used to predict the class label of test data. An efficient model would be used to classify the new data. Learn more in: Medical Image Classification

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Categorizing into different groups accordingly. Learn more in: Predictive Healthcare Web Analytics Using Machine Learning

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Classification is a process related to categorization, the process in which ideas and objects are recognized, differentiated and understood. Learn more in: Application of Deep Learning for EEG

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Assignment of data into one or more predefined classes. Learn more in: Data Mining Tools: Association Rules

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It is a process by which an unseen sample is assigned a class label by a model trained on data of known class labels. Learn more in: Learning From Imbalanced Data

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The process of dividing objects into different groups or classes using machine learning and artificial intelligence techniques based on their features (attributes). Learn more in: Automatic Target Recognition from Inverse Synthetic Aperture Radar Images

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The action or process of classifying something in supervised way. Learn more in: Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory

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The organization of related objects according to the shared characteristics of interest. Learn more in: Healthcare Informatics

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To categorize the data according to their similarities. Learn more in: Trends in Distance Education: Theories and Methods

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Categorization of objects into groups based on the existing ground truth values. Artificial Intelligence based algorithms classify objects easily. Learn more in: Recommendation of Crop and Yield Prediction by Assessing Soil Health From Ortho-Photos

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The process of classification identified and assigned each pixel of all channels of the multi-spectral images to a particular class or theme based on the statistical characteristics of the pixel brightness values known as spectral signatures. Learn more in: Parallel Development of Three Major Space Technology Systems and Human Side of Information Reference Services as an Essential Complementary Method

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In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known. Learn more in: Techniques and Methods That Help to Make Big Data the Simplest Recipe for Success

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Classification is the process of categorizing the data into groups based on mathematical information. It is a pattern recognition technique (i.e., finding the meaningful informational patterns from the outlier and noisy data). Learn more in: Analysis of Gravitation-Based Optimization Algorithms for Clustering and Classification

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Deciding which data record belongs to each class. Learn more in: New Features Extracted From Renal Stone NCCT Images to Predict Retreatment After Shock Wave Lithotripsy (SWL)

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Classification is a process related to categorization, the process in which ideas and objects are recognized, differentiated, and understood. Learn more in: Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment

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The task of grouping the data instances in various categories known as classes while going through training and testing phases. Learn more in: Learning from Unbalanced Stream Data in Non-Stationary Environments Using Logistic Regression Model: A Novel Approach Using Machine Learning for Assessment of Credit Card Frauds

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Objects that are indiscernible based on their attribute values are belongs to same class and we call it as classification. Learn more in: Swarm Intelligence in Solving Bio-Inspired Computing Problems: Reviews, Perspectives, and Challenges

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A type of supervised learning algorithm in which algorithm predicts the output as discrete class labels. Learn more in: Analytics of User Behaviors on Twitter Using Machine Learning

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A process to classify objects in classes or categories. These classes are predefined in advance by the user, or it is the system which itself generates these categories. Learn more in: Text Classification: New Fuzzy Decision Tree Model

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A technique that logically partitions the database into a small number of predefined classes. Learn more in: Search Space Reduction in Biometric Databases: A Review

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A set of concepts, basically classes, properties and relationships between them, with the purpose to allow the linkage of products to product groups (classes) and to describe products in exchange processes between different business partners by commonly defined properties. Learn more in: Flexible Classification Standards for Product Data Exchange

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Classification is the problem of identifying to which of a set of categories a new observation belongs. Learn more in: A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms

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Classification is a general process related to categorization, the process in which ideas and objects are recognized, differentiated, and understood. Learn more in: A Case-Based-Reasoning System for Feature Selection and Diagnosing Asthma

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Classification system can categorize objects or events using all relevant factors. This system simplify communication of information and guide detailed investigation. Learn more in: A Review of Soft Computing Methods Application in Rock Mechanic Engineering