Displaying similar documents to “AI clustering techniques: a new approach in horizontal fragmentation of classes with complex attributes and methods in object oriented databases.”

User Profiling for the Web

Miha Grčar, Dunja Mladenič, Marko Grobelnik (2006)

Computer Science and Information Systems

Similarity:

Versioning of Granulated Data in Hierarchically Composed Workspaces

Jotov, Vladimir (2013)

Serdica Journal of Computing

Similarity:

ACM Computing Classification System (1998): F.4.1. For the last 30 years there has been a lot of research of versioned software products, but challenges remain nevertheless. This article focuses on a model of versioned objects and hierarchically composed workspaces. The presented model of versioned object aims to solve the issue of granulation of versioned data. The model of hierarchically composed workspaces provides methods and rules for versioning, which complete the first...

An alternative extension of the k-means algorithm for clustering categorical data

Ohn San, Van-Nam Huynh, Yoshiteru Nakamori (2004)

International Journal of Applied Mathematics and Computer Science

Similarity:

Most of the earlier work on clustering has mainly been focused on numerical data whose inherent geometric properties can be exploited to naturally define distance functions between data points. Recently, the problem of clustering categorical data has started drawing interest. However, the computational cost makes most of the previous algorithms unacceptable for clustering very large databases. The -means algorithm is well known for its efficiency in this respect. At the same time, working...