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» Combining Two Data Mining Methods for System Identification
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COMPSAC
2002
IEEE
14 years 20 days ago
From System Comprehension to Program Comprehension
Program and system comprehension are vital parts of the software maintenance process. We discuss the need for both perspectives and describe two methods that may be integrated to ...
Christos Tjortjis, Nicolas Gold, Paul J. Layzell, ...
PRESENCE
2006
102views more  PRESENCE 2006»
13 years 7 months ago
The Usability of Collaborative Virtual Environments and Methods for the Analysis of Interaction
This paper describes two methods for analyzing interactions in collaborative virtual environments (CVEs): one whereby quantitative data are captured, interaction is categorized in...
Ralph Schroeder, Ilona Heldal, Jolanda G. Tromp
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 12 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
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 8 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
RECOMB
2005
Springer
14 years 8 months ago
A Hidden Markov Model Based Scoring Function for Mass Spectrometry Database Search
An accurate scoring function for database search is crucial for peptide identification using tandem mass spectrometry. Although many mathematical models have been proposed to scor...
Yunhu Wan, Ting Chen