Boosting Techniques on Rarity Mining

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
Many real world data mining applications involve classification of rare cases from imbalanced data sets. It is a common problem in many domains such as detecting oil spills from satellite images, predicting telecommunication equipment failures and finding associations between infrequently purchased supermarket items. Rare cases warrant special attention because they pose significant problems for data mining algorithms. Classifying data using Boosting algorithm performs supervised learning which is known as machine learning meta-algorithm. Boosting methods are commonly used to detect objects or persons in videoconference, security system, etc.
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