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» Data mining and automatic OLAP schema generation
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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
14 years 1 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
KDD
2010
ACM
293views Data Mining» more  KDD 2010»
13 years 11 months ago
BioSnowball: automated population of Wikis
Internet users regularly have the need to find biographies and facts of people of interest. Wikipedia has become the first stop for celebrity biographies and facts. However, Wik...
Xiaojiang Liu, Zaiqing Nie, Nenghai Yu, Ji-Rong We...
BMCBI
2010
154views more  BMCBI 2010»
13 years 7 months ago
LINNAEUS: A species name identification system for biomedical literature
Background: The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data min...
Martin Gerner, Goran Nenadic, Casey M. Bergman
GIS
2008
ACM
14 years 8 months ago
Qualitative geocoding of persistent web pages
Information and specifically Web pages may be organized, indexed, searched, and navigated using various metadata aspects, such as keywords, categories (themes), and also space. Wh...
Albert Angel, Chara Lontou, Dieter Pfoser, Alexand...
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
14 years 4 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke