Big graph mining for the web and social media: algorithms, anomaly detection, and applications.

U Kang|Leman Akoglu|Duen Horng Chau


Anthology ID:DBLP:conf/wsdm/KangAC14
Volume:Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014
Year:2014
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:677-678
URL:https://doi.org/10.1145/2556195.2556198
DOI:https://doi.org/10.1145/2556195.2556198
DBLP:conf/wsdm/KangAC14
BibTeX:
@inproceedings{kang-2014-big, author = {U Kang and Leman Akoglu and Duen Horng Chau}, editor = {Ben Carterette and Fernando Diaz and Carlos Castillo and Donald Metzler}, title = {{Big graph mining for the web and social media: algorithms, anomaly detection, and applications}}, booktitle = {{Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014}}, pages = {677--678}, publisher = {ACM}, year = {2014}, url = {https://doi.org/10.1145/2556195.2556198}, doi = {https://doi.org/10.1145/2556195.2556198} }