330 search results - page 25 / 66 » A Performance Prediction Framework for Grid-Based Data Minin... |
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
IDEAS
1999
IEEE
14 years 1 months ago
1999
IEEE
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
PVLDB
2010
13 years 7 months ago
2010
Large text corpora with news, customer mail and reports, or Web 2.0 contributions offer a great potential for enhancing business-intelligence applications. We propose a framework ...
KDD
2007
ACM
14 years 9 months ago
2007
ACM
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...