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KDD
1997
ACM
120views Data Mining» more  KDD 1997»
13 years 9 months ago
Discovering Trends in Text Databases
We describe a system we developed for identifying trends in text documents collected over a period of time. Trends can be used, for example, to discover that a company is shifting...
Brian Lent, Rakesh Agrawal, Ramakrishnan Srikant
CORR
2011
Springer
239views Education» more  CORR 2011»
13 years 5 days ago
From Linked Data to Relevant Data -- Time is the Essence
The Semantic Web initiative puts emphasis not primarily on putting data on the Web, but rather on creating links in a way that both humans and machines can explore the Web of data...
Markus Kirchberg, Ryan K. L. Ko, Bu Sung Lee
CNSR
2004
IEEE
180views Communications» more  CNSR 2004»
13 years 9 months ago
The Reconstruction of User Sessions from a Server Log Using Improved Time-Oriented Heuristics
Web usage mining plays an important role in the personalization of Web services, adaptation of Web sites, and the improvement of Web server performance. It applies data mining tec...
Jie Zhang, Ali A. Ghorbani
FGCS
2007
86views more  FGCS 2007»
13 years 5 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
CACM
2000
186views more  CACM 2000»
13 years 5 months ago
Automatic personalization based on Web usage mining
One important class of Data Mining applications is the so-called "Web Mining" that analyzes and extracts important and non-trivial knowledge from Web related data. Typic...
Bamshad Mobasher, Robert Cooley, Jaideep Srivastav...