Sciweavers

1836 search results - page 60 / 368
» Mining Clustering Dimensions
Sort
View
DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 8 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 8 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
DAWAK
2003
Springer
15 years 6 months ago
Clustering by Regression Analysis
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
WWW
2004
ACM
16 years 2 months ago
A web personalization system based on web usage mining techniques
In the past few years, web usage mining techniques have grown rapidly together with the explosive growth of the web, both in the research and commercial areas. In this work we pre...
Massimiliano Albanese, Antonio Picariello, Carlo S...
ICDM
2008
IEEE
90views Data Mining» more  ICDM 2008»
15 years 8 months ago
Finding Alternative Clusterings Using Constraints
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
Ian Davidson, Zijie Qi