Deborah S. Gross

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Data mining has been a very active area of research in the database, machine learning, and mathematical programming communities in recent years. EDAM (Exploratory Data Analysis and Management) is a joint project between researchers in Atmospheric Chemistry and Computer Science at Carleton College and the University of Wisconsin-Madison that aims to develop(More)
This article highlights issues and presents strategies for conducting intervention research in highly unstable environments such as schools, critical care units, and long-term care facilities. The authors draw on their own experiences to discuss the challenges that may be encountered in highly unstable settings. The concept of validity provides a framework(More)
Atmospheric data analysis is an important area of scientific endeavor, with both government and industrial applications. Our work focuses on clustering particle data acquired via an Aerosol Time-of-Flight Mass Spectrometer (ATOFMS), which is sold and marketed by TSI, Inc. Most papers and software tools developed by the single-particle mass spectrometry(More)
Many applications of clustering require the use of normalized data, such as text or mass spectra mining. The spherical K-means algorithm [6], an adaptation of the traditional K-means algorithm, is highly useful for data of this kind because it produces normalized cluster centers. The K-medians clustering algorithm is also an important clustering tool(More)
We introduce the problem of labeling a particle's mass spectrum with the substances it contains, and develop several formal representations of the problem, taking into account practical complications such as unknown compounds and noise. This task is currently a bottleneck in analyzing data from a new generation of instruments for real-time environmental(More)
Best-practices pedagogy in science, technology, engineering, and mathematics (STEM) aims for inclusive excellence that fosters student persistence. This paper describes principles of inclusivity across 11 primarily undergraduate institutions designated as Capstone Awardees in Howard Hughes Medical Institute's (HHMI) 2012 competition. The Capstones represent(More)
Due to its agricultural origin and function as a fuel oxygenate, ethanol is being promoted as an alternative biomass-based fuel for use in spark ignition engines, with mandates for its use at state and regional levels. While it has been established that the addition of ethanol to a fuel reduces the particulate mass concentration in the exhaust, little(More)
Many applications of clustering require the use of normalized data, such as text or mass spectra mining. The spherical k-means algorithm [6], an adaptation of the traditional k-means algorithm, is highly useful for data of this kind because it produces normalized cluster centers. The k-medians clustering algorithm is also an important clustering tool(More)
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