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ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 1 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
JCP
2006
139views more  JCP 2006»
13 years 7 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana
KDD
1995
ACM
67views Data Mining» more  KDD 1995»
13 years 11 months ago
A Perspective on Databases and Data Mining
We discuss the use of database met hods for data mining. Recently impressive results have been achieved for some data mining problems using highly specialized and clever data stru...
Marcel Holsheimer, Martin L. Kersten, Heikki Manni...
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
13 years 11 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
ICSOC
2010
Springer
13 years 5 months ago
Incorporating Expectations as a Basis for Business Service Selection
Abstract. The collaborative creation of value is the central tenet of services science. In particular, then, the quality of a service encounter would depend on the mutual expectati...
Adel M. ElMessiry, Xibin Gao, Munindar P. Singh