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INTR
2010
157views more  INTR 2010»
15 years 5 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
WWW
2008
ACM
16 years 7 months ago
Extracting spam blogs with co-citation clusters
This paper reports the estimated number of spam blogs in order to assess their current state in the blogosphere. To extract spam blogs, I developed a traversal method among co-cit...
Kazunari Ishida
WWW
2004
ACM
16 years 7 months ago
Clustering e-commerce search engines
In this paper, we sketch a method for clustering e-commerce search engines by the type of products/services they sell. This method utilizes the special features of interface pages...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
IMCSIT
2010
15 years 3 months ago
Using Self Organizing Map to Cluster Arabic Crime Documents
This paper presents a system that combines two text mining techniques; information extraction and clustering. A rulebased approach is used to perform the information extraction tas...
Meshrif Alruily, Aladdin Ayesh, Abdulsamad Al-Marg...
PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
16 years 19 days ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher