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214
Voted
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 8 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson
EWSN
2009
Springer
16 years 8 months ago
Experimental Study of the Impact of WLAN Interference on IEEE 802.15.4 Body Area Networks
As the number of wireless devices sharing the unlicensed 2.4 GHz ISM band increases, interference is becoming a problem of paramount importance. We experimentally investigate the e...
Jan-Hinrich Hauer, Vlado Handziski, Adam Wolisz
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 7 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
210
Voted
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 7 months ago
Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
Rhonda Chaytor
KDD
2006
ACM
208views Data Mining» more  KDD 2006»
16 years 7 months ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...