1344 search results - page 30 / 269 » Cluster Analysis of High-Dimensional Data: A Case Study |
AUSDM
2008
Springer
13 years 9 months ago
2008
Springer
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...
ACL
2011
12 years 11 months ago
2011
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
CSMR
2009
IEEE
14 years 9 days ago
2009
IEEE
Decomposing a software system into smaller, more manageable clusters is a common approach to support the comprehension of large systems. In recent years, researchers have focused ...
INCDM
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...