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Utilization of data mining in software engineering has been the subject of several research papers.
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A micro-economic view of data mining.
The social impacts of data mining are discussed, including ubiquitous and invisible data mining, and privacy-preserving data mining.
Additionally, task-driven data mining concepts and principles are elaborated with the help of data mining concepts and techniques.
The mining of frequent itemsets is a fundamental and important task of data mining.
Temporal data mining is the application of data mining techniques to data that takes the time dimension into account.
Utility mining has recently been an emerging topic in the field of data mining.
After months of data mining the consultants concluded: not really.
Applications of data mining to anomaly detection include ADAM (audit data analysis and mining) [ 13], IDDM (intrusion detection using data mining) [ 19], and eBayes [ 20].
The framework identifies the malicious mobile malware behavior through their bundles with the utilization of information mining strategies.
In the first quarter, sales of data-mining tools jumped 76%.
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