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» Discovering Case Knowledge Using Data Mining
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KDD
1999
ACM
199views Data Mining» more  KDD 1999»
14 years 1 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
KDD
2009
ACM
216views Data Mining» more  KDD 2009»
14 years 9 months ago
Finding a team of experts in social networks
Given a task T , a pool of individuals X with different skills, and a social network G that captures the compatibility among these individuals, we study the problem of finding X ,...
Theodoros Lappas, Kun Liu, Evimaria Terzi
ADBIS
2006
Springer
109views Database» more  ADBIS 2006»
14 years 3 months ago
Content Is Capricious: A Case for Dynamic System Generation
Abstract. Database modeling is based on the assumption of a high regularity of its application areas, an assumption which applies to both the structure of data and the behavior of ...
Hans-Werner Sehring, Sebastian Bossung, Joachim W....
DILS
2009
Springer
13 years 7 months ago
Slicing through the Scientific Literature
Abstract. Success in the life sciences depends on access to information in knowledge bases and literature. Finding and extracting the relevant information depends on a user's ...
Christopher J. O. Baker, Patrick Lambrix, Jonas La...
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 9 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor