6388 search results - page 52 / 1278 » High Performance Data Mining |
141
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PAKDD
2005
ACM
15 years 11 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,...
171
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ICDM
2002
IEEE
15 years 11 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...
177
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KDD
2007
ACM
16 years 6 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...
147
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KDD
2006
ACM
16 years 6 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...
137
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CIS
2007
Springer
16 years 4 days 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...