عنوان
پدید آورنده
موضوع
رده
QA76.76.E95
QA76
.
76
.
E95
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789811082573
(Number (ISBN
9789811082580
(Number (ISBN
9789811082597
(Number (ISBN
9789811341021
(Number (ISBN
981108257X
(Number (ISBN
9811082588
(Number (ISBN
9811082596
(Number (ISBN
9811341028
Erroneous ISBN
9789811082573
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Knowledge computing and its applications :
General Material Designation
[Book]
Other Title Information
knowledge computing in specific domains.
First Statement of Responsibility
S. Margret Anouncia, Uffe Kock Wiil, editors.
Volume Designation
Volume II /
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
CONTENTS NOTE
Text of Note
Intro; Foreword; Preface; Acknowledgements; Contents; About the Editors; Abbreviations; Knowledge Processing in Specific Domains; 1 Probabilistic Graphical Models for Medical Image Mining Challenges of New Generation; Abstract; 1 Introduction; 1.1 Image Mining Challenge; 1.2 Probabilistic Graphical Models; 2 Machine Learning Methods in a Medical Context; 2.1 Image Mining Challenges; 3 Medical Image Mining Applications; 3.1 Multiview Feature Representation with MR Imaging; 3.2 Learning and Estimating Respiratory Motion from 4D CT Lung Images.
Text of Note
1.2 Baker's Taxonomy2 Problem Domain: Predicting Student Course Outcome at an Early Stage; 2.1 Description and Selection of Dataset; 2.2 Introduction to Classification Technique; 2.2.1 Types of Classification Techniques; 2.2.2 Solving a Classification Problem; 2.2.3 Classification Accuracy; 2.3 Instance-Based Learning; 3 Experimentation and Results; 3.1 Implementation of Single Instance Learning Classification Algorithm; 3.1.1 Rule-Based Algorithms; 3.1.2 Tree-Based Algorithms; 3.1.3 Naïve Bayes Algorithms; 3.1.4 Comparison of Single Instance Learning Algorithms.
Text of Note
2.4 Drawbacks of Existing Pipeline Models2.5 Image Analysis and Processing Model of a Pipeline; 2.6 Characteristics of Image Analysis Model; 2.7 Implementation of Digitized Camera with Fiber Optic Cable; 2.8 Pipeline Evaluation; 2.9 Fiber Optic Cable; 3 Image Detection Techniques; 3.1 Gate Turn-Off Thyristors; 3.2 High-Frequency Filter; 3.3 Image Analysis Using Bitmaps; 3.4 Methods to Identify Hidden Structures in an Image; 3.5 Filtration of an Image; 3.6 Characteristics of Cluster Algorithm Model; 3.7 K-Means Algorithm; 4 Morphological Image Processing System.
Text of Note
3.3 Hierarchical Parsing in Medical Images Using Machine Learning Technologies [41]3.4 Anatomy Landmark Detection [41]; 3.5 Machine Learning in Brain Imaging [41]; 3.6 A Connectome-Based and Machine Learning Study [41]; 4 Limitations with Medical Images; 4.1 Future Guidelines; 5 Conclusion; References; 2 Pipeline Crack Detection Using Mathematical Morphological Operator; Abstract; 1 Introduction; 1.1 Image Analysis and Processing; 1.2 Image Coordinates; 2 Pipeline; 2.1 Pipeline Design; 2.2 Causes for Pipeline Damage; 2.3 Pipelines Monitoring-Smart Pigs.
Text of Note
4.1 Implementation of the Operator Tool4.1.1 Design of the Algorithm; 4.2 Analysis with the Bitmap Set; 4.2.1 Data Gathering Procedure; 4.3 Mode of Analysis-Detection of the Crack with the Morphological Operator; 4.3.1 Types: Erosion and Corrosion; 4.3.2 Opening and Closing Techniques; 4.4 Proposed Method to Implement the Image Analysis Model; 5 Edge Detection of an Image; 5.1 Methods to Detect Edge Defects; 5.1.1 Smoothing of the Detected Image; 6 Conclusion; References; 3 Efficiency of Multi-instance Learning in Educational Data Mining; Abstract; 1 Introduction; 1.1 Educational Applications.
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8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
This book highlights technical advances in knowledge management and their applications across a diverse range of domains. It explores the applications of knowledge computing methodologies in image processing, pattern recognition, health care and industrial contexts. The chapters also examine the knowledge engineering process involved in information management. Given its interdisciplinary nature, the book covers methods for identifying and acquiring valid, potentially useful knowledge sources. The ideas presented in the respective chapters illustrate how to effectively apply the perspectives of knowledge computing in specialized domains.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811082580
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9789811082573
TOPICAL NAME USED AS SUBJECT
Big data.
Expert systems (Computer science)
Internet of things.
Big data.
COMPUTERS-- General.
Expert systems (Computer science)
Internet of things.
(SUBJECT CATEGORY (Provisional
COM-- 000000
UDBD
UDBD
UNH
UNH
DEWEY DECIMAL CLASSIFICATION
Number
006
.
3/3
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
76
.
E95
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Anouncia, S. Margret
Wiil, Uffe Kock
ORIGINATING SOURCE
Date of Transaction
20200823222438.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
