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» Learning Business Process Models: A Case Study
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EMNLP
2010
15 years 2 months ago
Negative Training Data Can be Harmful to Text Classification
This paper studies the effects of training data on binary text classification and postulates that negative training data is not needed and may even be harmful for the task. Tradit...
Xiaoli Li, Bing Liu, See-Kiong Ng
IH
2009
Springer
15 years 11 months ago
Microphone Classification Using Fourier Coefficients
Media forensics tries to determine the originating device of a signal. We apply this paradigm to microphone forensics, determining the microphone model used to record a given audio...
Robert Buchholz, Christian Krätzer, Jana Ditt...
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
15 years 10 months ago
Autonomous Robotic Sensing Experiments at San Joaquin River
Abstract— Distributed, high-density spatiotemporal observations are proposed for answering many river-related questions, including those pertaining to hydraulics and multi-dimens...
Amarjeet Singh 0003, Maxim A. Batalin, Victor Chen...
PASTE
2010
ACM
15 years 9 months ago
Extracting compiler provenance from program binaries
We present a novel technique that identifies the source compiler of program binaries, an important element of program provenance. Program provenance answers fundamental questions...
Nathan E. Rosenblum, Barton P. Miller, Xiaojin Zhu
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 6 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