Platfora Method for High Data Delivery in Large Datasets

Visualization & Data Mining for High Dimensional Datasets

Data Visualization and Large Nursing Datasets

ew data visualization software applications allows for the discovery of patterns and trends in large datasets that might not be apparent with traditional data visualization approaches. The purpose of this research was to data mine an existing large dataset utilizing software developed for high-end visual applications to determine whether new patterns or trends that were not evident in prior ana...

Distance Based Fast Hierarchical Clustering Method for Large Datasets

Average-link (AL) is a distance based hierarchical clustering method, which is not sensitive to the noisy patterns. However, like all hierarchical clustering methods AL also needs to scan the dataset many times. AL has time and space complexity of O(n), where n is the size of the dataset. These prohibit the use of AL for large datasets. In this paper, we have proposed a distance based hierarchi...

DDR: an index method for large time-series datasets

The tree index structure is a traditional method for searching similar data in large datasets. It is based on the presupposition that most sub-trees are pruned in the searching process. As a result, the number of page accesses is reduced. However, time-series datasets generally have a very high dimensionality. Because of the so-called dimensionality curse, the pruning effectiveness is reduced i...

Advanced Visualization of Large Datasets for Discrete Element Method Simulations

State-of-the-art Discrete Element Method (DEM) simulations of granular flows produce large datasets that contain a wealth of information describing the time-dependent physical state of the particulate medium. To extract this information, both comprehensive and efficient post-processing methods are essential. Special attention must be paid to the interactive visualization of these large hybrid d...