"Classification is the process of arranging data into sequences and groups according to their common characteristics, or separating them into different but related parts." (Horace Secrist, "An Introduction to Statistical Methods", 1917)
"A classification is a scheme for breaking a category into a set of parts, called classes, according to some precisely defined differing characteristics possessed by all the elements of the category." (Alva M Tuttle, "Elementary Business and Economic Statistics", 1957)
"The process of learning to distinguish and discriminate between different input patterns using a supervised training algorithm." (Joseph P Bigus, "Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support", 1996)
"1.Generally, a set of discrete, exhaustive, and mutually exclusive observations that can be assigned to one or more variables to be measured in the collation and/or presentation of data. 2.In data modeling, the arrangement of entities into supertypes and subtypes. 3.In object-oriented design, the arrangement of objects into classes, and the assignment of objects to these categories." (DAMA International, "The DAMA Dictionary of Data Management", 2011)
"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." (Efstathios Kirkos, "Composite Classifiers for Bankruptcy Prediction", 2014)
"Systematic identification and arrangement of business activities and/or records into categories according to logically structured conventions, methods, and procedural rules represented in a classification system. A coding of content items as members of a group for the purposes of cataloging them or associating them with a taxonomy." (Robert F Smallwood, "Information Governance: Concepts, Strategies, and Best Practices", 2014)
"Techniques for organizing data into groups associated with a particular outcome, such as the likelihood to purchase a product or earn a college degree." (Meta S Brown, "Data Mining For Dummies", 2014)
"The systematic assignment of resources to a system of intentional categories, often institutional ones. Classification is applied categorization - the assignment of resources to a system of categories, called classes, using a predetermined set of principles." (Robert J Glushko, "The Discipline of Organizing: Professional Edition" 4th Ed., 2016)
"A systematic arrangement of objects into groups or categories according to a set of established criteria. Data and resources can be assigned a level of sensitivity as they are being created, amended, enhanced, stored, or transmitted. The classification level then determines the extent to which the resource needs to be controlled and secured, and is indicative of its value in terms of information assets." (Shon Harris & Fernando Maymi, "CISSP All-in-One Exam Guide" 8th Ed., 2018)
"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." (Soraya Sedkaoui, "Big Data Analytics for Entrepreneurial Success", 2018)
"Systematic identification and arrangement of business activities and/or records into categories according to logically structured conventions, methods, and procedural rules represented in a classification system. A coding of content items as members of a group for the purposes of cataloging them or associating them with a taxonomy." (Robert F Smallwood, "Information Governance for Healthcare Professionals", 2018)
"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." (Siddhartha Kumar Arjaria & Abhishek S Rathore, "Heart Disease Diagnosis: A Machine Learning Approach", 2019)
"In a machine learning context, classification is the task of assigning classes to examples. The simplest form is the binary classification task where each example can have one of two classes. The binary classification task is a special case of the multiclass classification task where each example can have one of a fixed set of classes. There is also the multilabel classification task where each example can have zero or more labels from a fixed set of labels." (Alex Thomas, "Natural Language Processing with Spark NLP", 2020)
"The act of assigning a category to something" (ITIL)
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