An efficient algorithm to solve high-dimensional data clustering: Candidate subspace clustering algorithm

For this project, a comprehensive literature review on high dimensional data clustering is conducted and a novel density-algorithm to perform high dimensional data clustering is developed

Banking System, Real Estate Markets, and Nonperforming Loans

This paper examines the link between nonperforming loans, real estate prices, and the banking system. We found that the level of nonperforming loans affects bank profitability as well as the price performance of real estate markets. We also analyzed the factors that cause the ratio of nonperforming loans to total loans to fluctuate. We observed that a higher ratio of corporateloans to individual loans results in a lower percentage of nonperforming loans. In contrast, a lower real estate lending rate relative to the primary lending rate leads to a higher percentage of nonperforming loans. These results suggest that the percentage of nonperforming loans can be partially governed by the lending practices of banks.Nonperforming Loans, Real Estate, Banking System

A New Approach to Modeling Early Warning Systems for Currency Crises : can a machine-learning fuzzy expert system predict the currency crises effectively?

This paper presents a hybrid model for predicting the occurrence of currency crises by using the neuro fuzzy modeling approach. The model integrates the learning ability of neural network with the inference mechanism of fuzzy logic. The empirical results show that the proposed neuro fuzzy model leads to a better prediction of crisis. Significantly, the model can also construct a reliable causal relationship among the variables through the obtained knowledge base. Compared to the traditionally used techniques such as logit, the proposed model can thus lead to a somewhat more prescriptive modeling approach towards finding ways to prevent currency crises.

"A New Approach to Modeling Early Warning Systems for Currency Crises : can a machine-learning fuzzy expert system predict the currency crises effectively?"

This paper presents a hybrid model for predicting the occurrence of currency crises by using the neuro fuzzy modeling approach. The model integrates the learning ability of neural network with the inference mechanism of fuzzy logic. The empirical results show that the proposed neuro fuzzy model leads to a better prediction of crisis. Significantly, the model can also construct a reliable causal relationship among the variables through the obtained knowledge base. Compared to the traditionally used techniques such as logit, the proposed model can thus lead to a somewhat more prescriptive modeling approach towards finding ways to prevent currency crises.

Interactions Between Reinforcement Corrosion and Chloride Ion Diffusion in Mortar

This study explored the diffusion of the chloride ions influenced by the reinforcement corrosion in the mortar. It is believed that, during the corroding process, a small current is generated at the surface of the reinforcement. Such current is supposed to influence the diffusion of the chloride ions, but the relationship between both was not well studied in the literature. In this study, the corroded reinforcements were prepared by applied currents. Reinforced mortar specimens with w/c of 0.6 were then prepared and cured by either salt or fresh water. Results showed that the chloride ion distribution was likely associated with the reinforcement corrosion. During the early hydration, the chloride ions were attracted by the reinforcement corrosion in the specimens prepared with fresh water and cured in salt water. The concentration of the chloride ions near the surface of the reinforcement was increased with the increases of the charging time during the preparation for the corroded reinforcement. On the contrary, the chloride ions were likely bound in those specimens prepared with salt water and cured by saturated lime water. The concentration of the chloride ions near the surface of the reinforcement was higher than those near the outer surface. However, such influencing effects were not clear in the long term, possibly due to the hydration. The results of this study show that the reinforcement corrosion have influences on the diffusion of the chloride ions and such effect should be considered during the refinement of the traditional chloride ion diffusion models

Scaling algorithms for matrices

We present an iterative algorithm, called SCALGM, which asymptotically scales both rows and columns of any given matrix such that each element of the scaled matrix is in the interval [-1, 1] and the elements of minimum magnitude are maximized. The object is to make the condition number reasonably small, thus causing the pivoting process in Gaussian elimination to work well, and to diagnose any instability in the elimination process. Numerical evidence is presented showing the effectiveness of the algorithm