796 search results - page 83 / 160 » Effective Use of the KDD Process and Data Mining for Compute... |
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
ICDM
2007
IEEE
14 years 29 days ago
2007
IEEE
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
AC
2008
Springer
13 years 9 months ago
2008
Springer
Radio Frequency Identification or simply rfid has come to be an integral part of modern computing. Rfid is notable in that it is the first practical technology to tightly couple p...
SBACPAD
2003
IEEE
14 years 2 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
EDBT
2000
ACM
14 years 22 days ago
2000
ACM
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...