232 search results - page 32 / 47 » T-Time: Threshold-Based Data Mining on Time Series |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
IJIT
2004
13 years 9 months ago
2004
This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural networ...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Many time series data mining problems require subsequence similarity search as a subroutine. While this can be performed with any distance measure, and dozens of distance measures ...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...