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BMCBI
2007
135views more  BMCBI 2007»
15 years 6 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
ICDCS
2011
IEEE
14 years 6 months ago
Accuracy-Aware Interference Modeling and Measurement in Wireless Sensor Networks
Abstract—Wireless Sensor Networks (WSNs) are increasingly available for mission-critical applications such as emergency management and health care. To meet the stringent requirem...
Jun Huang, Shucheng Liu, Guoliang Xing, Hongwei Zh...
SIGCOMM
2012
ACM
13 years 9 months ago
Measuring and fingerprinting click-spam in ad networks
Advertising plays a vital role in supporting free websites and smartphone apps. Click-spam, i.e., fraudulent or invalid clicks on online ads where the user has no actual interest ...
Vacha Dave, Saikat Guha, Yin Zhang
WWW
2006
ACM
16 years 7 months ago
Time-dependent semantic similarity measure of queries using historical click-through data
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas