Practical Graph Mining with R

Nagiza F. Samatova

ISBN 10: 143986084X / ISBN 13: 9781439860847

Verlag: Chapman And Hall/CRC, 2013

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a 'do-it-yourself' approach to extracting interesting patterns from graph data. Each chapter focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through many applications, the book demonstrates how computational techniques can help solve real-world problems. Every algorithm and example is accompanied with R code, allowing readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in practice.

Bestandsnummer des Verkäufers 9781439860847

Bibliografische Details

• Titel: Practical Graph Mining with R
• Verlag: Chapman And Hall/CRC
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 143986084X
• ISBN-13: 9781439860847
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a "do-it-yourself" approach to extracting interesting patterns from graph data. Each chapter focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through many applications, the book demonstrates how computational techniques can help solve real-world problems. Every algorithm and example is accompanied with R code, allowing readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in practice.

Über die Autorin bzw. den Autor

Nagiza F. Samatova is an associate professor of computer science at North Carolina State University and a senior research scientist at Oak Ridge National Laboratory.