ACRMiner: An Incremental Approach for Finding Dense and Sparse Rectangular Regions from a 2D Interval Dataset
Dwipen Laskar,
Anjana Kakoti Mahanta
Abstract:In many applications, transactions are associated with intervalsrelated to time, temperature, humidity, or other similar measures. The term "2D interval data" or "rectangle data" is used when there are two connected intervals with each transaction. Two connected intervals give rise to a rectangle. The rectangles may overlap producing regions with different density values. The density value or support of a region is the number of rectangles that contain it. A region is closed if its density is strictly bigger t… Show more
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