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The frequency and duration of the programs that users have watched are collected and weighted by data mining techniques.
The extraction is usually performed by data mining techniques applied on server log data or data obtained from specific tools such as Google Analytics.
This research investigates the impact of connecting building characteristics and designs with its performance by data mining techniques, hence the appropriateness of a room in relation to energy efficiency.
In recent years, a major issue that has arisen is that data publicly published or shared by organizations may lead to privacy threats since sensitive or confidential information may be uncovered by data mining techniques.
The main goal of this proposal was to reduce the time spent by this mode decision process, trying to narrow down the set of MB partitions to be checked by the encoder using a decision tree generated by data mining techniques.
In large databases, like the contact database, patterns between variables can be discovered by data mining techniques such as association rules [ 13].
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Therefore, we try to find out some common regularities between RA and CHD through the overall literatures in both PubMed (English literature) and SinoMed (TCM literature) by data mining technique.
These situations and the decision that were consequently made by the staff members could then easily be investigated by various data mining techniques [ 87].
In our second approach to extend s i m b a s e, the data mining based approach - denoted approach B, we try to substitute the by-hand selection of the additional knowledge that is integrated into the similarity measure by applying data mining techniques.
By using data mining techniques, the data stored in a Data Warehouse (DW) can be analyzed for the purpose of uncovering and predicting hidden patterns within the data.
The objective of this paper is to show how one may design combinatorial libraries a priori by integrating data mining techniques with physically robust multivariate data.
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