Meta-Learning in Decision Tree Induction

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Meta-Learning in Decision Tree Induction by Krzysztof Grąbczewski, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Krzysztof Grąbczewski ISBN: 9783319009605
Publisher: Springer International Publishing Publication: September 11, 2013
Imprint: Springer Language: English
Author: Krzysztof Grąbczewski
ISBN: 9783319009605
Publisher: Springer International Publishing
Publication: September 11, 2013
Imprint: Springer
Language: English

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.

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

 

More books from Springer International Publishing

Cover of the book On the Direct Detection of 229m Th by Krzysztof Grąbczewski
Cover of the book A Toxicologist's Guide to Clinical Pathology in Animals by Krzysztof Grąbczewski
Cover of the book The Cordial Economy - Ethics, Recognition and Reciprocity by Krzysztof Grąbczewski
Cover of the book Behaviour and Ecology of Spiders by Krzysztof Grąbczewski
Cover of the book Physical Layer Security in Wireless Cooperative Networks by Krzysztof Grąbczewski
Cover of the book Climate Change in Cities by Krzysztof Grąbczewski
Cover of the book Gastrointestinal Complications of Diabetes by Krzysztof Grąbczewski
Cover of the book Chest Drains in Daily Clinical Practice by Krzysztof Grąbczewski
Cover of the book Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments by Krzysztof Grąbczewski
Cover of the book Anticoagulation Therapy by Krzysztof Grąbczewski
Cover of the book Neo-/Victorian Biographilia and James Miranda Barry by Krzysztof Grąbczewski
Cover of the book Diabetes Mellitus in Developing Countries and Underserved Communities by Krzysztof Grąbczewski
Cover of the book Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection by Krzysztof Grąbczewski
Cover of the book Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by Krzysztof Grąbczewski
Cover of the book Deadly Dermatologic Diseases by Krzysztof Grąbczewski
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy