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Author : Giulia M. Pagallo
Publisher :
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.:/5 (321 download)
Download or read book Adaptive Decision Tree Algorithms for Learning from Examples written by Giulia M. Pagallo and published by . This book was released on 1990 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lior Rokach
Publisher : World Scientific
ISBN 13 : 9812771727
Total Pages : 263 pages
Book Rating : 4.8/5 (127 download)
Download or read book Data Mining with Decision Trees written by Lior Rokach and published by World Scientific. This book was released on 2008 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique. Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in order to discover useful patterns. The area is of great importance because it enables modeling and knowledge extraction from the abundance of data available. Both theoreticians and practitioners are continually seeking techniques to make the process more efficient, cost-effective and accurate. Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and pattern recognition. This book invites readers to explore the many benefits in data mining that decision trees offer:: Self-explanatory and easy to follow when compacted; Able to handle a variety of input data: nominal, numeric and textual; Able to process datasets that may have errors or missing values; High predictive performance for a relatively small computational effort; Available in many data mining packages over a variety of platforms; Useful for various tasks, such as classification, regression, clustering and feature selection . Sample Chapter(s). Chapter 1: Introduction to Decision Trees (245 KB). Chapter 6: Advanced Decision Trees (409 KB). Chapter 10: Fuzzy Decision Trees (220 KB). Contents: Introduction to Decision Trees; Growing Decision Trees; Evaluation of Classification Trees; Splitting Criteria; Pruning Trees; Advanced Decision Trees; Decision Forests; Incremental Learning of Decision Trees; Feature Selection; Fuzzy Decision Trees; Hybridization of Decision Trees with Other Techniques; Sequence Classification Using Decision Trees. Readership: Researchers, graduate and undergraduate students in information systems, engineering, computer science, statistics and management.
Author : Giulia M. Pagallo
Publisher :
ISBN 13 :
Total Pages : 194 pages
Book Rating : 4.:/5 (321 download)
Download or read book Adaptative Decision Tree Algorithms for Learning from Examples written by Giulia M. Pagallo and published by . This book was released on 1990 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Martijn van Otterlo
Publisher : IOS Press
ISBN 13 : 1586039695
Total Pages : 508 pages
Book Rating : 4.5/5 (86 download)
Download or read book The Logic of Adaptive Behavior written by Martijn van Otterlo and published by IOS Press. This book was released on 2009 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov decision processes have become the de facto standard in modeling and solving sequential decision making problems under uncertainty. This book studies lifting Markov decision processes, reinforcement learning and dynamic programming to the first-order (or, relational) setting.
Author : William W. Cohen
Publisher : Morgan Kaufmann
ISBN 13 : 1483298183
Total Pages : 381 pages
Book Rating : 4.4/5 (832 download)
Download or read book Machine Learning Proceedings 1994 written by William W. Cohen and published by Morgan Kaufmann. This book was released on 2017-01-31 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1994
Author : A Adams
Publisher : World Scientific
ISBN 13 : 9814553603
Total Pages : 410 pages
Book Rating : 4.8/5 (145 download)
Download or read book Ai '92 - Proceedings Of The 5th Australian Joint Conference On Artificial Intelligence written by A Adams and published by World Scientific. This book was released on 1992-10-09 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume deal with academic research topics as well as practical applications in AI. Special emphasis is given to computer vision, machine learning, neural networks mixed with theory of logic and reasoning, and practical applications of expert systems in industry and decision support.
Author : Lawrence A. Birnbaum
Publisher : Morgan Kaufmann
ISBN 13 : 1483298620
Total Pages : 540 pages
Book Rating : 4.4/5 (832 download)
Download or read book Machine Learning Proceedings 1993 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1993
Author : Albert Bifet
Publisher : IOS Press
ISBN 13 : 1607500906
Total Pages : 224 pages
Book Rating : 4.6/5 (75 download)
Download or read book Adaptive Stream Mining written by Albert Bifet and published by IOS Press. This book was released on 2010 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It introduces new contributions on several different aspects of the problem, identifying research opportunities and increasing the scope for applications. It also includes an in-depth study of stream mining and a theoretical analysis of proposed methods and algorithms. The first section is concerned with the use of an adaptive sliding window algorithm (ADWIN). Since this has rigorous performance guarantees, using it in place of counters or accumulators, it offers the possibility of extending such guarantees to learning and mining algorithms not initially designed for drifting data. Testing with several methods, including Naïve Bayes, clustering, decision trees and ensemble methods, is discussed as well. The second part of the book describes a formal study of connected acyclic graphs, or 'trees', from the point of view of closure-based mining, presenting efficient algorithms for subtree testing and for mining ordered and unordered frequent closed trees. Lastly, a general methodology to identify closed patterns in a data stream is outlined. This is applied to develop an incremental method, a sliding-window based method, and a method that mines closed trees adaptively from data streams. These are used to introduce classification methods for tree data streams.
Author : Krzysztof Grąbczewski
Publisher : Springer
ISBN 13 : 3319009605
Total Pages : 343 pages
Book Rating : 4.3/5 (19 download)
Download or read book Meta-Learning in Decision Tree Induction written by Krzysztof Grąbczewski and published by Springer. This book was released on 2013-09-11 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches.
Author : Yves Kodratoff
Publisher : Springer Science & Business Media
ISBN 13 : 9783540538165
Total Pages : 554 pages
Book Rating : 4.5/5 (381 download)
Download or read book Machine Learning - EWSL-91 written by Yves Kodratoff and published by Springer Science & Business Media. This book was released on 1991-02-20 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book contemporary knowledge of superconductivity is set against its historical background. First, the highlights of superconductivity research in the twentieth century are reviewed. Further contributions then describe the basic phenomena resulting from the macroscopic quantum state of superconductivity (such as zero resistivity, the Meissner-Ochsenfeld effect, and flux quantization) and review possible mechaniscs, including the classical BCS theory and the more recent alternative theories. The main categories of superconductors - elements, intermetallic phases, chalcogenides, oxides and organic compounds - are described. Common features and differences in their structure and electronic properties are pointed out. This broad overview of superconductivity is completed by a discussion of properties related to the coherence length. Newcomers to the field who seek an overall picture of research in superconductivity, and of the cross-links between its branches, will find this volume especially useful.
Author : De-Shuang Huang
Publisher : Springer
ISBN 13 : 3642040209
Total Pages : 1120 pages
Book Rating : 4.6/5 (42 download)
Download or read book Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence written by De-Shuang Huang and published by Springer. This book was released on 2009-09-19 with total page 1120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Author : Mokrane Bouzeghoub
Publisher : Springer Science & Business Media
ISBN 13 : 9783540610571
Total Pages : 660 pages
Book Rating : 4.6/5 (15 download)
Download or read book Advances in Database Technology EDBT '96 written by Mokrane Bouzeghoub and published by Springer Science & Business Media. This book was released on 1996-03-18 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the Fifth International Conference on Extending Database Technology, EDBT'96, held in Avignon, France in March 1996. The 31 full revised papers included were selected from a total of 178 submissions; also included are some industrial-track papers, contributed by partners of several ESPRIT projects. The volume is organized in topical sections on data mining, active databases, design tools, advanced DBMS, optimization, warehousing, system issues, temporal databases, the web and hypermedia, performance, workflow management, database design, and parallel databases.
Author : Max A. Bramer
Publisher : IET
ISBN 13 : 9780852967676
Total Pages : 334 pages
Book Rating : 4.9/5 (676 download)
Download or read book Knowledge Discovery and Data Mining written by Max A. Bramer and published by IET. This book was released on 1999 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considers knowledge discovery, which has been defined as the extraction of implicit, previously unknown and potentially useful information from data. Early chapters examine technical issues of importance to the future development of the field, including overcoming feature interaction problems, analysis of outliers, rule discovery, and temporal processing. Later chapters describe applications in fields such as medical and health information, meteorology, organic chemistry, and the electric supply industry. The editor is a professor of information technology at the University of Portsmouth, UK. Material originated at a May 1998 colloquium. Annotation copyrighted by Book News, Inc., Portland, OR
Author : Raúl Monroy
Publisher : Springer Science & Business Media
ISBN 13 : 3540214593
Total Pages : 941 pages
Book Rating : 4.5/5 (42 download)
Download or read book MICAI 2004: Advances in Artificial Intelligence written by Raúl Monroy and published by Springer Science & Business Media. This book was released on 2004-04-08 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third Mexican International Conference on Artificial Intelligence, MICAI 2004, held in Mexico City, Mexico in April 2004. The 94 revised full papers presented were carefully reviewed and selected from 254 submissions. The papers are organized in topical sections on applications, intelligent interfaces and speech processing, knowledge representation, logic and constraint programming, machine learning and data mining, multiagent systems and distributed AI, natural language processing, uncertainty reasoning, vision, evolutionary computation, modeling and intelligent control, neural networks, and robotics.
Author : P. Cheeseman
Publisher : Springer Science & Business Media
ISBN 13 : 1461226600
Total Pages : 475 pages
Book Rating : 4.4/5 (612 download)
Download or read book Selecting Models from Data written by P. Cheeseman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data.
Author : Carl Thomas Uhrik
Publisher :
ISBN 13 :
Total Pages : 160 pages
Book Rating : 4.:/5 (31 download)
Download or read book GS*, an Adaptive Bias Framework for Classification Algorithms written by Carl Thomas Uhrik and published by . This book was released on 1993 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the real-world study set (Sparks, Engine Design, Annealing), there is known to be considerable noise, and dealing with numerical values is a strong consideration. A comparison of the GS* results for the problems is made against 2 standard algorithms (CN2 and NEWID)."
Author : Rodrigo C. Barros
Publisher : Springer
ISBN 13 : 3319142313
Total Pages : 184 pages
Book Rating : 4.3/5 (191 download)
Download or read book Automatic Design of Decision-Tree Induction Algorithms written by Rodrigo C. Barros and published by Springer. This book was released on 2015-02-04 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics. "Automatic Design of Decision-Tree Induction Algorithms" would be highly useful for machine learning and evolutionary computation students and researchers alike.
