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WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 4 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
DATAMINE
1999
108views more  DATAMINE 1999»
13 years 8 months ago
A Survey of Methods for Scaling Up Inductive Algorithms
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...
Foster J. Provost, Venkateswarlu Kolluri
ICDM
2006
IEEE
76views Data Mining» more  ICDM 2006»
14 years 2 months ago
How Bayesians Debug
Manual debugging is expensive. And the high cost has motivated extensive research on automated fault localization in both software engineering and data mining communities. Fault l...
Chao Liu 0001, Zeng Lian, Jiawei Han
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 10 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
ICTAI
2006
IEEE
14 years 2 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...