This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses on 'flat' data in which each data object is represented as a fixed-length attribute vector. However, many real-world data sets are much richer in structure, involving objects of multiple types that are related to each other. Hence, recently link mining has become an emerging field of data mining, which has a high impact in various important applications such as text mining, social network analysi.
%0 Generic
%1 yu2010mining
%A Yu, Philip S.
%A Han, Jiawei
%A Faloutsos, Christos
%C New York
%D 2010
%I Springer
%K DA mining
%T Link mining models, algorithms, and applications
%U http://www.worldcat.org/search?qt=worldcat_org_all&q=9781441965141
%X This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses on 'flat' data in which each data object is represented as a fixed-length attribute vector. However, many real-world data sets are much richer in structure, involving objects of multiple types that are related to each other. Hence, recently link mining has become an emerging field of data mining, which has a high impact in various important applications such as text mining, social network analysi.
%@ 9781441965158 1441965157
@electronic{yu2010mining,
abstract = {This book presents in-depth surveys and systematic discussions on models, algorithms and applications for link mining. Link mining is an important field of data mining. Traditional data mining focuses on 'flat' data in which each data object is represented as a fixed-length attribute vector. However, many real-world data sets are much richer in structure, involving objects of multiple types that are related to each other. Hence, recently link mining has become an emerging field of data mining, which has a high impact in various important applications such as text mining, social network analysi.},
added-at = {2014-03-14T00:04:06.000+0100},
address = {New York},
author = {Yu, Philip S. and Han, Jiawei and Faloutsos, Christos},
biburl = {https://www.bibsonomy.org/bibtex/2116d34d71574225b649612ee08b2beac/michael-t-weber},
interhash = {3b176fa0e77fda08614dc21c7a583819},
intrahash = {116d34d71574225b649612ee08b2beac},
isbn = {9781441965158 1441965157},
keywords = {DA mining},
publisher = {Springer},
refid = {676700824},
timestamp = {2014-03-14T00:04:06.000+0100},
title = {Link mining models, algorithms, and applications},
url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9781441965141},
year = 2010
}