Titlebook: Relational Data Mining; Sašo Džeroski,Nada Lavrač Book 2001 Springer-Verlag Berlin Heidelberg 2001 Algorithmic Learning.Data Analysis.Data

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Pseudoephedrine

Knowledge Discovery in Databases: An Overviewn support databases where analysis and exploration operations are essential. Inductive logic programming can potentially play some key roles in KDD. We define the basic notions in data mining and KDD, define the goals, present motivation, and give a high-level definition of the KDD Process and how i

parallelism

An Introduction to Inductive Logic Programmingth data stored in multiple tables, ILP systems are usually able to take into account generally valid background (domain) knowledge in the form of a logic program. They also use the powerful language of logic programs for describing discovered patterns. This chapter introduces the basics of logic pro

Flounder

Inductive Logic Programming for Knowledge Discovery in Databasesl databases. This reduces the need for manual preprocessing and allows problems to be treated that cannot be handled easily with standard single-table methods. This paper provides a tutorial-style introduction to the topic, beginning with a detailed explanation of why and where one might be interest

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充足

conformity

Relational Rule Induction with CP,4.4: A Tutorial Introductionource code, the reader is guided through the development of Progol input files containing type definitions, mode declarations, background knowledge, examples and integrity constraints. The theory behind the system is then described using a simple example as illustration. The main algorithms in . are

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