國立虎尾科技大學 |

Rule Based Systems for Big Data = A Machine Learning Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Rule Based Systems for Big Data/ by Han Liu, Alexander Gegov, Mihaela Cocea.
其他題名:	A Machine Learning Approach /
作者:	Liu, Han.
其他作者:	Gegov, Alexander.
面頁冊數:	XIII, 121 p. 38 illus., 5 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-23696-4
ISBN:	9783319236964

Rule Based Systems for Big Data = A Machine Learning Approach /
Liu, Han.

Rule Based Systems for Big DataA Machine Learning Approach /[electronic resource] :by Han Liu, Alexander Gegov, Mihaela Cocea. - 1st ed. 2016. - XIII, 121 p. 38 illus., 5 illus. in color.online resource. - Studies in Big Data,132197-6503 ;. - Studies in Big Data,8.

Introduction -- Theoretical Preliminaries -- Generation of Classification Rules -- Simplification of Classification Rules -- Representation of Classification Rules -- Ensemble Learning Approaches -- Interpretability Analysis.

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evaluation of rule based systems in terms of accuracy, efficiency and interpretability. In particular, a unified framework for building rule based systems, which consists of the operations of rule generation, rule simplification and rule representation, is presented. Each of these operations is detailed using specific methods or techniques. In addition, this book also presents some ensemble learning frameworks for building ensemble rule based systems.

ISBN: 9783319236964

Standard No.: 10.1007/978-3-319-23696-4doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Rule Based Systems for Big Data = A Machine Learning Approach /
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