Practical graph mining with R  [electronic resource] / 
edited by, Nagiza F. Samatova ... [et al.]. 
 - Boca Raton, Fla. :  CRC Press,  c2014. 
 - 1 online resource (xxi, 464 p.) :  ill. 
 - Chapman & Hall/CRC data mining and knowledge discovery series .
 - Chapman & Hall/CRC data mining and knowledge discovery series. .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> Introduction /  An introduction to graph theory /  An introduction to R /  An introduction to kernel functions /  Link analysis /  Graph-based proximity measures /  Frequent subgraph mining /  Cluster analysis /  Classification /  Dimensionality reduction /  Graph-based anomaly detection /  Performance metrics for graph mining tasks /  Introduction to parallel graph mining /  Kanchana Padmanabhan, William Hendrix, Nagiza F. Samatova --  Stephen Ware --  Neil Shah --  John Jenkins --  Arpan Chakraborty --  Kevin A. Wilson ... [et al.] --  Brent E. Harrison ... [et al.] --  Kanchana Padmanabhan ... [et al.] --  Srinath Ravindran ... [et al.] --  Madhuri R. Marri ... [et al.] --  Kanchana Padmanabhan ... [et al.] --  Kachana Padmanabhan and John Jenkins --  William Hendrix ... [et al.]. 
<br/><br/><label>ISBN: </label>
<br/><br/><label>Source: </label>CL0500000320  Safari Books Online 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining--Graphic methods.<br/>Information visualization--Data processing.<br/>R (Computer program language)
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.