Showing posts with label Rule. Show all posts
Showing posts with label Rule. Show all posts

Thursday, October 1, 2015

Rule Based Systems for Big Data: A Machine Learning Approach (Repost)




Han Liu, Alexander Gegov, Mihaela Cocea, "Rule Based Systems for Big Data: A Machine Learning Approach"


English | 2015 | ISBN-10: 3319236954 | 121 pages | pdf | 2.8 MB




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




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Tuesday, September 22, 2015

Land and Power in Late Medieval Ferrara: The Rule of the Este, 1350-1450 by Trevor Dean




Land and Power in Late Medieval Ferrara: The Rule of the Este, 1350-1450 by Trevor Dean


English | 1 Jan. 1988 | ISBN: 0521331277 | 225 Pages | PDF | 6 MB




Among the many states of late medieval Italy, one stands out for its unfamiliarity to an English audience and for its neglect in historical research: that of the Este family, lords (later Dukes) of the cities of Ferrara, Modena and Reggio in northern Italy. This book is the first modern attempt to provide a detailed analysis of the political structure of this state based on archive sources.