Titlebook: Bisociative Knowledge Discovery; An Introduction to C Michael R. Berthold Book‘‘‘‘‘‘‘‘ 2012 The Editor(s) (if applicable) and the Author(s)

Crater

Erkrankungen der Verdauungsorgane,k for the discovery of new connections between domains (so called .), supporting the creative discovery process in a more powerful way. We motivate this approach, show the difference to classical data analysis and conclude by describing a number of different types of domain-crossing connections.

琐碎

锉屑

Lehrbuch der Kinderheilkunde von where attempts are made to find unexpected relations across seemingly unrelated domains. Information networks, due to their flexible data structure, lend themselves perfectly to the integration of these heterogeneous data sources. This chapter provides an overview of different types of information

你不公正

Lehrbuch der Kinderheilkunde vons are in this form. We rather find the data we want to fuse, connect, analyze and thus exploit for creative discoveries, stored in flat files, (relational) databases, text document collections and the like. As a consequence, we need, as an initial step, methods that construct a network representatio

制造

掺和

Die Untersuchung des kranken Kindes,mportant challenge is information fusion of diverse mainly unstructured representations into a unique knowledge format. This chapter focuses on merging information available in text documents into an information network – a graph representation of knowledge. The problem addressed is how to efficient

讨厌

,Gesundheitsfürsorge für das Kindesalter,re often best described by the relationships they establish. This is also evidenced by the popularity of conceptual maps, mind maps, and other similar methodologies to organize and summarize information. Our goal is to discover term relationships that can be used to construct conceptual maps or so c

Dawdle

Krankheiten der Kreislauforgane,se of transactions. We, instead, strive to find item sets for which the similarity of the covers of the items (that is, the sets of transactions containing the items) exceeds a user-defined threshold. This approach yields a much better assessment of the association strength of the items, because it

得罪人

Die Untersuchung des kranken Kindes,ies expressing uncertainty. While . is based on graphs, ProbLog’s core language is that of the logic programming language Prolog. This chapter provides an overview of important concepts, terminology, and reasoning tasks addressed in the two systems. It does so in an informal way, focusing on intuiti

苦涩

,Stoffwechsel und Ernährung älterer Kinder,of representing data in numerous fields. Additionally, such networks can be created or derived from other types of information using, e.g., the methods given in Part II of this volume..This part of the book describes various network algorithms for the exploration and analysis of BisoNets. Their gene