Sentence examples for temporal data mining from inspiring English sources

We thus organize time into granules and consider temporal data mining for different levels of granules.

An automatic system "CQuake" has been developed to carry out spatial and temporal data mining analysis in real time.

Temporal data mining is the application of data mining techniques to data that takes the time dimension into account.

Most of the existing studies in temporal data mining consider only lifespan of items to find general temporal association rules.

The incorporation of temporal semantics into traditional data mining techniques has led to the development of a new field called temporal data mining.

Although there are many studies for temporal data mining, they do not deal with discovering knowledge from temporal interval data such as patient histories, purchaser histories, and web logs etc.

In massive spatio-temporal datasets, anomalies that deviate from the global or local distributions are not just useless noise but possibly imply significant changes, surprising patterns, and meaningful insights, and because of this, detection of spatio-temporal anomalies has become an important research hotspot in spatio-temporal data mining.

This book also presents an overview on both fundamentals and the state-of-the-art research inspired by spatial trajectory data, as well as a special focus on trajectory pattern mining, spatio-temporal data mining and location-based social networks.

We extend the spatio-temporal data mining framework that we have developed earlier to analyze and manage such data [ 5].

Many studies that address privacy issues in a spatio-temporal data mining context have already been published.

And more traditional methods can be used to overcome the 'digital divide', by making data available in other methods, such as web, or even TV and Radio (e.g., high pollen warnings, dust, etc).. Furthermore, data privacy issues need to be addressed in a spatial-temporal data mining context.