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WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 5 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
COMPSAC
2008
IEEE
14 years 4 months ago
Implicit Social Network Model for Predicting and Tracking the Location of Faults
— In software testing and maintenance activities, the observed faults and bugs are reported in bug report managing systems (BRMS) for further analysis and repair. According to th...
Ing-Xiang Chen, Cheng-Zen Yang, Ting-Kun Lu, Hojun...
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
14 years 10 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...
ICAT
2003
IEEE
14 years 3 months ago
Motion Generation using Motion Mining System
In this paper, we present a method that generates a path that has no collision with the obstacles by using the environment information, and automatically creates natural motions o...
Seongmin Baek, Il-Kwon Jeong, In-Ho Lee
KDD
1997
ACM
113views Data Mining» more  KDD 1997»
14 years 2 months ago
A Guided Tour through the Data Mining Jungle
Animportantsuccessfactor for the field of KDDlies in the developmentand integration of methodsfor supporting the construction and execution of KDDprocesses. Crucial aspects in thi...
Robert Engels, Guido Lindner, Rudi Studer