Sciweavers

942 search results - page 75 / 189
» Efficiently Mining Long Patterns from Databases
Sort
View
URBAN
2008
86views more  URBAN 2008»
14 years 9 months ago
Social area analysis, data mining, and GIS
: There is a long tradition of describing cities through a focus on the characteristics of their residents. A brief review of the history of this approach to describing cities high...
Seth E. Spielman, Jean-Claude Thill
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 3 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
WSCG
2004
170views more  WSCG 2004»
14 years 11 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...
ALT
2002
Springer
15 years 6 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
CMG
2001
14 years 11 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman