Titlebook: Knowledge Discovery in Inductive Databases; Third International Bart Goethals,Arno Siebes Conference proceedings 2005 Springer-Verlag Berl

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书目名称Knowledge Discovery in Inductive Databases影响因子(影响力)




书目名称Knowledge Discovery in Inductive Databases影响因子(影响力)学科排名




书目名称Knowledge Discovery in Inductive Databases网络公开度




书目名称Knowledge Discovery in Inductive Databases网络公开度学科排名




书目名称Knowledge Discovery in Inductive Databases被引频次




书目名称Knowledge Discovery in Inductive Databases被引频次学科排名




书目名称Knowledge Discovery in Inductive Databases年度引用




书目名称Knowledge Discovery in Inductive Databases年度引用学科排名




书目名称Knowledge Discovery in Inductive Databases读者反馈




书目名称Knowledge Discovery in Inductive Databases读者反馈学科排名

暗语

GOAT

facilitate

ADAGE

Taneli Mielikäinen view... It extract long timescale macroscopic/mesoscopic dynamics from microscopic equations in an intuitively understandable way rather than in a mathematically rigorous manner and introduces readers to a mathematically elementary, but useful and widely applicable technique for analyzing asymptoti

茁壮成长

Arnaud Soulet,Bruno Crémilleux,François Rioulttents a priori and clearly.This book presents a comprehensive account of the  renormalization-group (RG) method and its extension, the doublet scheme, in a geometrical point of view... It extract long timescale macroscopic/mesoscopic dynamics from microscopic equations in an intuitively understandab

myalgia

view... It extract long timescale macroscopic/mesoscopic dynamics from microscopic equations in an intuitively understandable way rather than in a mathematically rigorous manner and introduces readers to a mathematically elementary, but useful and widely applicable technique for analyzing asymptoti

Acclaim

Models and Indices for Integrating Unstructured Data with a Relational Database integration of semi-structured sources with existing structured databases for seamless querying. This integration requires extracting structured column values from the unstructured source and mapping them to known database entities. Existing methods of data integration do not effectively exploit th

reperfusion

Constraint Relaxations for Discovering Unknown Sequential Patternsthe solution commonly accepted – the use of constraints – approximates the mining process to a verification of what are the frequent patterns among the specified ones, instead of the discovery of unknown and unexpected patterns..In this paper, we propose a new methodology to mine sequential patterns

夜晚

Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Dataated to sets of attributes or items). A typical important case concerns formal concept mining (i.e., maximal rectangles of true values or associated closed sets by means of the so-called Galois connection). It has been applied with some success to, e.g., gene expression data analysis where objects d