As a prolific research area in data mining, subspace clustering and related problems induced a vast amount of proposed solutions. However, many publications compare a new proposition – if at all – with one or two competitors or even with a so called “näıve” ad hoc solution but fail to clarify the exact problem definition. As a consequence, even if two solutions are thoroughly compared experimen...

This paper explores the effect that changing access patterns has on the performance of database management systems. Changes in access patterns play an important role in determining the efficiency of key performance optimization techniques, such as dynamic clustering, prefetching, and buffer replacement. However, all existing benchmarks or evaluation frameworks produce static access patterns in ...

objectives: coronary artery disease (cad) is caused by atherosclerosis in coronary arteries and results in cardiac arrest and heart attack. angiography is one of the most accurate methods to diagnose heart disease, it incurs high expenses and comes with side effects. data mining is the extraction of hidden predictive information and unknown data, patterns, relationships and knowledge by explori...

In recent years, clustering became one of the fundamental methods of large dataset analysis. In particular, clustering is an important component of real-time image compression and exploitation algorithms, such as vector quantization, segmentation of SAR, EO/IR, and hyperspectral imagery, group tracking, and behavior pattern analysis. Thus, development of fast scalable real-time clustering algor...