6388 search results - page 52 / 1278 » High Performance Data Mining |
105
Voted
PAKDD
2005
ACM
15 years 9 months ago
2005
ACM
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
135
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ICDM
2002
IEEE
15 years 8 months ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
147
Voted
KDD
2007
ACM
16 years 3 months ago
2007
ACM
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggrava...
122
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
106
Voted
CIS
2007
Springer
15 years 9 months ago
2007
Springer
—Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...