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» Data mining in the chemical industry
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EDBT
2010
ACM
170views Database» more  EDBT 2010»
13 years 10 months ago
Augmenting OLAP exploration with dynamic advanced analytics
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
Benjamin Leonhardi, Bernhard Mitschang, Rubé...
SISAP
2010
IEEE
135views Data Mining» more  SISAP 2010»
13 years 5 months ago
Improving the similarity search of tandem mass spectra using metric access methods
In biological applications, the tandem mass spectrometry is a widely used method for determining protein and peptide sequences from an ”in vitro” sample. The sequences are not...
Jiri Novák, Tomás Skopal, David Hoks...
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 7 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
ICDM
2003
IEEE
184views Data Mining» more  ICDM 2003»
14 years 20 days ago
Detecting Patterns of Change Using Enhanced Parallel Coordinates Visualization
Analyzing data to find trends, correlations, and stable patterns is an important problem for many industrial applications. In this paper, we propose a new technique based on paral...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
BMCBI
2008
82views more  BMCBI 2008»
13 years 7 months ago
Standardized high-throughput evaluation of cell-based compound screens
Background: High-throughput screening of pharmaceutical compound activity in tissue culture experiments requires time-consuming repeated analysis of the large amounts of data gene...
Peter Frommolt, Roman K. Thomas