Practical graph mining with R [electronic resource] / edited by, Nagiza F. Samatova ... [et al.].
Series: Chapman & Hall/CRC data mining and knowledge discovery seriesc2014Description: 1 online resource (xxi, 464 p.) : illSubject(s): Genre/Form: Additional physical formats: Print version:: Practical graph mining with R.Online resources:
eBooks
Description based on print version record.
Includes bibliographical references and index.
Introduction / Kanchana Padmanabhan, William Hendrix, Nagiza F. Samatova -- An introduction to graph theory / Stephen Ware -- An introduction to R / Neil Shah -- An introduction to kernel functions / John Jenkins -- Link analysis / Arpan Chakraborty -- Graph-based proximity measures / Kevin A. Wilson ... [et al.] -- Frequent subgraph mining / Brent E. Harrison ... [et al.] -- Cluster analysis / Kanchana Padmanabhan ... [et al.] -- Classification / Srinath Ravindran ... [et al.] -- Dimensionality reduction / Madhuri R. Marri ... [et al.] -- Graph-based anomaly detection / Kanchana Padmanabhan ... [et al.] -- Performance metrics for graph mining tasks / Kachana Padmanabhan and John Jenkins -- Introduction to parallel graph mining / William Hendrix ... [et al.].