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CIKM
2004
Springer
14 years 1 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
KDD
2009
ACM
165views Data Mining» more  KDD 2009»
14 years 6 days ago
Pricing guidance in ad sale negotiations: the PrintAds example
We consider negotiations between publishers and advertisers in a marketplace for ads. Motivated by Google’s online PrintAds system which is such a marketplace, we focus on the r...
Adam Isaac Juda, S. Muthukrishnan, Ashish Rastogi
WSDM
2010
ACM
266views Data Mining» more  WSDM 2010»
14 years 5 months ago
Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity
Knowledge-sharing communities like Wikipedia and automated extraction methods like those of DBpedia enable the construction of large machine-processible knowledge bases with relat...
Bilyana Taneva, Mouna Kacimi, Gerhard Weikum
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
14 years 8 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
INCDM
2009
Springer
131views Data Mining» more  INCDM 2009»
14 years 2 months ago
Computer-Aided Diagnosis in Brain Computed Tomography Screening
Currently, interpretation of medical images is almost exclusively made by specialized physicians. Although, the next decades will most certainly be of change and computer-aided dia...
Hugo Peixoto, Victor Alves