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129
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KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 7 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
136
Voted
WSC
2007
15 years 5 months ago
An exploration-based taxonomy for emergent behavior analysis in simulations
Emergent behaviors in simulations require explanation, so that valid behaviors can be separated from design or coding errors. We present a taxonomy, to be applied to emergent beha...
Ross Gore, Paul F. Reynolds Jr.
WSC
2008
15 years 5 months ago
Simulation and optimization for construction repetitive projects using promodel and simrunner
We introduce a new approach, called Relative Start and Idle Time (RSIT), to solve probabilistic scheduling problems of construction repetitive projects. RSIT is a process of deter...
Chachrist Srisuwanrat, Photios G. Ioannou, Omer Ts...
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 5 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
ESEM
2008
ACM
15 years 5 months ago
Phase distribution of software development effort
Effort distribution by phase or activity is an important but often overlooked aspect compared to other steps in the cost estimation process. Poor effort allocation is among the ma...
Ye Yang, Mei He, Mingshu Li, Qing Wang, Barry W. B...