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In this paper, we used data mining techniques for the automatic discovering of useful temporal abstraction in reinforcement learning.
This paper presents a methodological framework based on data mining techniques for exploring the determinants of urban expansion.
There are only two mining techniques for recovering coal from the earth; underground mining and surface mining.
The effective development of data mining techniques for the discovery of knowledge from training samples for classification problems in industrial engineering is necessary in applications, such as group technology.
In this paper, a dataset of 92,906 dwellings was analysed adopting data mining techniques for the classification of heating and domestic hot water primary energy demand and for the evaluation of the most influencing factors.
Eskandari et al. [3] propose to use program graph mining techniques for detecting polymorphic malware.
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In part II, Dr. Blanton will give a seminar on January 15th from 12-1pm on his research in The Advanced Chip Test Laboratory (ACTL) which develops and implements data-mining techniques for improving the operation, design, manufacturing and testing of integrated systems.
Data mining differs from searching, since data mining techniques look for interesting patterns or trends in the data, whereas search algorithms look for relevant discrete pieces of data in a collection, given a query.
Our goal was to develop a method for exploring physicians' therapeutic decisions by use of data mining techniques only in situations for which clinical guidelines do not provide recommendations.
Many aspect mining techniques have been proposed for object-oriented systems.
With the advancement of high throughput sequencing technology, advanced data mining techniques have been developed for high throughput DNA sequencing data [ 1, 2].
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