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What is Feature

Chapter 2
Handbook of Research on Swarm Intelligence in Engineering
These are attributes in a data table.
Published in Chapter:
An Uncertainty-Based Model for Optimized Multi-Label Classification
J. Anuradha (VIT University, India) and B. K. Tripathy (VIT University, India)
Copyright: © 2015 |Pages: 34
DOI: 10.4018/978-1-4666-8291-7.ch002
Abstract
The data used in the real world applications are uncertain and vague. Several models to handle such data efficiently have been put forth so far. It has been found that the individual models have some strong points and certain weak points. Efforts have been made to combine these models so that the hybrid models will cash upon the strong points of the constituent models. Dubois and Prade in 1990 combined rough set and fuzzy set together to develop two models of which rough fuzzy model is a popular one and is used in many fields to handle uncertainty-based data sets very well. Particle Swarm Optimization (PSO) further combined with the rough fuzzy model is expected to produce optimized solutions. Similarly, multi-label classification in the context of data mining deals with situations where an object or a set of objects can be assigned to multiple classes. In this chapter, the authors present a rough fuzzy PSO algorithm that performs classification of multi-label data sets, and through experimental analysis, its efficiency and superiority has been established.
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Chapter 327
Integrating Domain Analysis into Formal Specifications
Is anything users or client programs might want to control about a concept? Is a coherent and identifiable bundle of system functionality that helps characterize the system from the user perspective? Is a prominent or distinctive user-visible aspect, quality, or characteristic of a software system or systems?
Published in Chapter: Integrating Domain Analysis into Formal Specifications; From: Encyclopedia of Information Science and Technology, Second Edition
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Chapter 17
A Novel Fuzzy Logic Classifier for Classification and Quality Measurement of Apple Fruit
A function of the basic measurement variables or attributes that specifies some quantifiable property of an object and is useful for classification and/or pattern recognition.
Published in Chapter: A Novel Fuzzy Logic Classifier for Classification and Quality Measurement of Apple Fruit; From: Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
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Chapter 160
Predicting Estimated Arrival Times in Logistics Using Machine Learning
Input variable of an ML model, containing formalized and known information about the problem to be learned.
Published in Chapter: Predicting Estimated Arrival Times in Logistics Using Machine Learning; From: Encyclopedia of Data Science and Machine Learning
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Chapter 700
Enhancing Formal Methods with Feature Models in MDD
Anything users or client programs might want to control about a concept. a coherent and identifiable bundle of system functionality that helps characterize the system from the user perspective. a prominent or distinctive user-visible aspect, quality, or characteristic of a software system or systems.
Published in Chapter: Enhancing Formal Methods with Feature Models in MDD; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 46
Music Information Retrieval
Numerical measure describing an aspect of music which is useful for Music IR tasks. Multiple features together are also refered to as feature set. The term descriptor is frequently used as synonym for the terms feature or feature set.
Published in Chapter: Music Information Retrieval; From: Handbook of Research on Digital Libraries: Design, Development, and Impact
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Chapter 36
Spatial Data Integration Over the Web
The fundamental unit of geospatial information. For example, depending on the application, a feature could be any part of the landscape, whether natural (such as a stream or ridge) or artificial (such as a road or power line). A feature object then corresponds to a real-world or abstract entity. Attributes of this feature object describe measurable or describable phenomena about this entity. Feature object instances derive their semantics and valid use or analysis from the corresponding real-world entities’ meaning.
Published in Chapter: Spatial Data Integration Over the Web; From: Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
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Chapter 18
Decision Making and Support Tools for Design of Machining Systems
A standard element characterized by both technological and geometrical parameters that have meaning in the definition and machining of a part.
Published in Chapter: Decision Making and Support Tools for Design of Machining Systems; From: Encyclopedia of Decision Making and Decision Support Technologies
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Chapter 13
Feature Extraction Techniques: Fundamental Concepts and Survey
A function of the basic measurement variables or attributes that specifies some quantifiable property of an object and is useful for classification and/or pattern recognition.
Published in Chapter: Feature Extraction Techniques: Fundamental Concepts and Survey; From: Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
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Chapter 80
Art Innovative Systems for Value Tagging
An attribute or characteristic of an object that can be used to develop a classifier.
Published in Chapter: Art Innovative Systems for Value Tagging; From: Encyclopedia of Organizational Knowledge, Administration, and Technology
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Chapter 359
Creative Collaborative Virtual Environments
Designates specific characteristics and programs of action, found in software, artefacts and processes. In this sense, a feature is understood to exist as part of a virtual object, a software application, or a workflow, irrespective of its employment by an actor in a given environment.
Published in Chapter: Creative Collaborative Virtual Environments; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 548
Feature Selection Methods to Extract Knowledge and Enhance Analysis of Ventricular Fibrillation Signals
Selection: Data mining method to select the best features to carry out a certain application.
Published in Chapter: Feature Selection Methods to Extract Knowledge and Enhance Analysis of Ventricular Fibrillation Signals; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 18
Recommending Mechanisms for Modularizing Mobile Software Variabilities
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Chapter 8
Development of a Stop-Line Violation Detection System for Indian Vehicles
It is a set of values representing the characteristics of an object of an image. This features are used for recognition purpose using artificial neural network.
Published in Chapter: Development of a Stop-Line Violation Detection System for Indian Vehicles; From: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
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Chapter 8
Introduction and Implementation of Machine Learning Algorithms in R
A measurable property which helps in prediction of necessary information.
Published in Chapter: Introduction and Implementation of Machine Learning Algorithms in R; From: Sentiment Analysis and Knowledge Discovery in Contemporary Business
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Chapter 2
Querying GML: A Pressing Need
A feature is an application object that represents a physical entity, e.g. a building, a river, or a person. A feature may or may not have geometric aspects.
Published in Chapter: Querying GML: A Pressing Need; From: Handbook of Research on Geoinformatics
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Chapter 12
An Extensive Text Mining Study for the Turkish Language: Author Recognition, Sentiment Analysis, and Text Classification
A structure that characterizes a system, an object, or a class and makes it distinct is called a feature.
Published in Chapter: An Extensive Text Mining Study for the Turkish Language: Author Recognition, Sentiment Analysis, and Text Classification; From: Natural Language Processing for Global and Local Business
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Chapter 8
Peripheral Vision: Engaging Multimodal Social Media Datasets to Differentiate MOOC Platforms by Course Offerings and User Bases
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