The Rules Of Extraction
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Rule Extraction From Support Vector Machines
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Author : Joachim Diederich
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-04
Rule Extraction From Support Vector Machines written by Joachim Diederich and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-04 with Mathematics categories.
Support vector machines (SVMs) are one of the most active research areas in machine learning. SVMs have shown good performance in a number of applications, including text and image classification. However, the learning capability of SVMs comes at a cost – an inherent inability to explain in a comprehensible form, the process by which a learning result was reached. Hence, the situation is similar to neural networks, where the apparent lack of an explanation capability has led to various approaches aiming at extracting symbolic rules from neural networks. For SVMs to gain a wider degree of acceptance in fields such as medical diagnosis and security sensitive areas, it is desirable to offer an explanation capability. User explanation is often a legal requirement, because it is necessary to explain how a decision was reached or why it was made. This book provides an overview of the field and introduces a number of different approaches to extracting rules from support vector machines developed by key researchers. In addition, successful applications are outlined and future research opportunities are discussed. The book is an important reference for researchers and graduate students, and since it provides an introduction to the topic, it will be important in the classroom as well. Because of the significance of both SVMs and user explanation, the book is of relevance to data mining practitioners and data analysts.
Accuracy Of Rule Extraction Using A Recursive Rule Extraction Algorithm With Continuous Attributes Combined With A Sampling Selection Technique For The Diagnosis Of Liver Disease
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Author : Yoichi Hayashi
language : en
Publisher: Infinite Study
Release Date :
Accuracy Of Rule Extraction Using A Recursive Rule Extraction Algorithm With Continuous Attributes Combined With A Sampling Selection Technique For The Diagnosis Of Liver Disease written by Yoichi Hayashi and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Although liver cancer is the second most common cause of death from cancer worldwide, because of the limited accuracy and interpretability of extracted classification rules, the diagnosis of liver disease remains difficult. In addition, hepatitis, which is inflammation of the liver, can progress to fibrosis, cirrhosis, or even liver cancer.
Post Mining Of Association Rules Techniques For Effective Knowledge Extraction
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Author : Zhao, Yanchang
language : en
Publisher: IGI Global
Release Date : 2009-05-31
Post Mining Of Association Rules Techniques For Effective Knowledge Extraction written by Zhao, Yanchang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-31 with Computers categories.
Provides a systematic collection on post-mining, summarization and presentation of association rules, and new forms of association rules.
Encyclopedia Of Knowledge Management
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Author : Schwartz, David
language : en
Publisher: IGI Global
Release Date : 2005-09-30
Encyclopedia Of Knowledge Management written by Schwartz, David and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-30 with Education categories.
"This encyclopedia is a research reference work documenting the past, present, and possible future directions of knowledge management"--Provided by publisher.
Extraction Rules In Icelandic
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Author : Annie Else Zaenen
language : en
Publisher: Dissertations-G
Release Date : 1985
Extraction Rules In Icelandic written by Annie Else Zaenen and has been published by Dissertations-G this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Icelandic language categories.
Rule Extraction From Support Vector Machine
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Author : Mohammed Farquad
language : en
Publisher: GRIN Verlag
Release Date : 2012-05-10
Rule Extraction From Support Vector Machine written by Mohammed Farquad and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-10 with Computers categories.
Doctoral Thesis / Dissertation from the year 2010 in the subject Computer Science - Applied, grade: none, , course: Department of Computers and Information Sciences - Ph.D., language: English, abstract: Although Support Vector Machines have been used to develop highly accurate classification and regression models in various real-world problem domains, the most significant barrier is that SVM generates black box model that is difficult to understand. The procedure to convert these opaque models into transparent models is called rule extraction. This thesis investigates the task of extracting comprehensible models from trained SVMs, thereby alleviating this limitation. The primary contribution of the thesis is the proposal of various algorithms to overcome the significant limitations of SVM by taking a novel approach to the task of extracting comprehensible models. The basic contribution of the thesis are systematic review of literature on rule extraction from SVM, identifying gaps in the literature and proposing novel approaches for addressing the gaps. The contributions are grouped under three classes, decompositional, pedagogical and eclectic/hybrid approaches. Decompositional approach is closely intertwined with the internal workings of the SVM. Pedagogical approach uses SVM as an oracle to re-label training examples as well as artificially generated examples. In the eclectic/hybrid approach, a combination of these two methods is adopted. The thesis addresses various problems from the finance domain such as bankruptcy prediction in banks/firms, churn prediction in analytical CRM and Insurance fraud detection. Apart from this various benchmark datasets such as iris, wine and WBC for classification problems and auto MPG, body fat, Boston housing, forest fires and pollution for regression problems are also tested using the proposed appraoch. In addition, rule extraction from unbalanced datasets as well as from active learning based approaches has been explored. For classification problems, various rule extraction methods such as FRBS, DT, ANFIS, CART and NBTree have been utilized. Additionally for regression problems, rule extraction methods such as ANFIS, DENFIS and CART have also been employed. Results are analyzed using accuracy, sensitivity, specificity, fidelity, AUC and t-test measures. Proposed approaches demonstrate their viability in extracting accurate, effective and comprehensible rule sets in various benchmark and real world problem domains across classification and regression problems. Future directions have been indicated to extend the approaches to newer variations of SVM as well as to other problem domains.
Artificial Neural Networks Formal Models And Their Applications Icann 2005
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Author : Wlodzislaw Duch
language : en
Publisher: Springer
Release Date : 2005-08-25
Artificial Neural Networks Formal Models And Their Applications Icann 2005 written by Wlodzislaw Duch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-25 with Computers categories.
This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.
Bim In The Construction Industry
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Author : Hee Sung Cha
language : en
Publisher: MDPI
Release Date : 2021-01-15
Bim In The Construction Industry written by Hee Sung Cha and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-15 with Technology & Engineering categories.
This book contains 19 peer-reviewed papers on the subject of BIM in the construction industry. These articles cover recent advances in the development of BIM technologies and applications in the field of architecture, engineering, and construction (AEC) industry.
Rules Extraction System Family
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Author : Gerard Blokdyk
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-05-20
Rules Extraction System Family written by Gerard Blokdyk and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-20 with categories.
How do we Identify specific Rules extraction system family investment and emerging trends? Can we add value to the current Rules extraction system family decision-making process (largely qualitative) by incorporating uncertainty modeling (more quantitative)? What are your most important goals for the strategic Rules extraction system family objectives? Will new equipment/products be required to facilitate Rules extraction system family delivery for example is new software needed? What are our Rules extraction system family Processes? This instant Rules extraction system family self-assessment will make you the accepted Rules extraction system family domain leader by revealing just what you need to know to be fluent and ready for any Rules extraction system family challenge. How do I reduce the effort in the Rules extraction system family work to be done to get problems solved? How can I ensure that plans of action include every Rules extraction system family task and that every Rules extraction system family outcome is in place? How will I save time investigating strategic and tactical options and ensuring Rules extraction system family costs are low? How can I deliver tailored Rules extraction system family advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Rules extraction system family essentials are covered, from every angle: the Rules extraction system family self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Rules extraction system family outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Rules extraction system family practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Rules extraction system family are maximized with professional results. Your purchase includes access details to the Rules extraction system family self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.
Advances In Knowledge Discovery And Data Mining
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Author : David Cheung
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-04-04
Advances In Knowledge Discovery And Data Mining written by David Cheung and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-04 with Computers categories.
This book constitutes the refereed proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, held in Hong Kong, China in April 2001. The 38 revised full papers and 22 short papers presented were carefully reviewed and selected from a total of 152 submissions. The book offers topical sections on Web mining, text mining, applications and tools, concept hierarchies, feature selection, interestingness, sequence mining, spatial and temporal mining, association mining, classification and rule induction, clustering, and advanced topics and new methods.