Logic knowledge theory applications (32 Ergebnisse)

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Taschenbuch. Zustand: Neu. Data Mining and Knowledge Discovery via Logic-Based Methods | Theory, Algorithms, and Applications | Evangelos Triantaphyllou | Taschenbuch | Springer Optimization and Its Applications | xxxiv | Englisch | 2012 | Springer | EAN 9781461426134 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e. , deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points. …

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Gebundene Ausgabe. Zustand: Neu. The importance of having ef cient and effective methods for data mining and kn- ledge discovery (DM&KD), to which the present book is devoted, grows every day and numerous such methods have been developed in recent decades. There exists a great variety of different settings for the main problem studied by data mining and knowledge discovery, and it seems that a very popular one is formulated in terms of binary attributes. In this setting, states of nature of the application area under consideration are described by Boolean vectors de ned on some attributes. That is, by data points de ned in the Boolean space of the attributes. It is postulated that there exists a partition of this space into two classes, which should be inferred as patterns on the attributes when only several data points are known, the so-called positive and negative training examples. The main problem in DM&KD is de ned as nding rules for recognizing (cl- sifying) new data points of unknown class, i. e., deciding which of them are positive and which are negative. In other words, to infer the binary value of one more attribute, called the goal or class attribute. To solve this problem, some methods have been suggested which construct a Boolean function separating the two given sets of positive and negative training data points. Sprache: Englisch Gewicht in Gramm: 694.…

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The papers that constitute the present volume are a result of the interface between logic and knowledge where flow of information, agentivity, and the dialogical approach interweave in new and exciting ways in the context of what van Benthem calls the dynamic turn. Moreover one can read the present volume as providing different complementary variations and perspectives that should motivate and render future new cross-fertilizing dialogues between explicit epistemic and dialogical approaches. Indeed, according to this reading wecould distinguish the following pairs of interlocutors:While the paper of F. Soler-Toscano & F.R. Velázquez-Quesada and Laura Leónides explore the dynamics induced by the arrival of new information in scientific processes such as abduction by means of non-monotonic approaches to reasoning and knowledge, V. Fiutek studies the other side of the coin of non-monotonic reasoning, namely belief revision, in a dialogical setting.While the paper of P. Seban and H. van Ditmarsch develops a model theoretic semantics for a generalization of Public Announcement Logic (PAL) in order to formalize the concept of 'having the permission to say something to somebody'.S. Magnier provides the semantic basis for the dialogical perspective on multi-agent public announcement logic with common knowledge.While the paper of T. Tulenheimo explores the expressivity of interval-based temporal logic, N. Clerbout studies the expressivity of the dialogical approach in relation to a modal logic with actuality operator. Another study of the expressivity power of dialogical logic is the contribution of Fontaine and Redmond who show how the inferential properties of the standard free logics can be expressed in the dialogical framework by delving in the local meaning of the quantifiers.The papers of C. Barés Gómez and of Aude Popek present a new feature of the dynamic turn, namely its sensitivity and ability to deal with historic studies such as the study of conditionals in Ugaritic language and the reconstruction of the medieval theory of Obligationes.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextThe papers that constitute the present volume are a result of the interface between logic and knowledge where flow of information, agentivity, and the dialogical approach interweave in new and exciting ways in the context of w.…