Characterizing web user accesses: A transactional approach to web log clustering

被引：0
|
作者：
Giannotti, F [1 ]
Gozzi, C [1 ]
Manco, G [1 ]
机构：
[1] CNR, CNUCE, I-56010 Ghezzano, PI, Italy
来源：
INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present a partitioning method able to manage web log sessions. Sessions are assimilable to transactions, i.e., tuples of variable size of categorical data. We adapt the standard definition of mathematical distance used in the K-Weans algorithm to represent transactions dissimilarity, and redefine the notion. of cluster centroid. The cluster centroid is used as the representative of the common properties of cluster elements. We show that using our concept of cluster centroid together with Jaccard distance we obtain results that are comparable with standard approaches, but substantially improve their efficiency.
引用
收藏
页码：312 / 317
页数：6
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