Much of the existing literature in small and medium-sized enterprise (SME) finance surveys the impact of borrower and lender characteristics on firms’ credit availability, and it has already been established that there is a positive link between the strength of firm-bank relationship and the level of credit availability. In this paper, I focus on what determines the strength of relationship, me...

This paper investigates the level of customer satisfaction among the customers who fly with Air Asia, a budget airline in Malaysia. The factors which investigated are the price offered, pre-flight services, customer relationship management, cabin environment and in-flight services. The independent variable is customer satisfaction. A quantitative approach with Pearson correlation and multiple r...

This paper gives an overview of our work done for the TREC 2009 Entity track. We propose a hierarchical relevance retrieval model for entity ranking. In this model, three levels of relevance are examined which are document, passage and entity, respectively. The final ranking score is a linear combination of the relevance scores from the three levels. Furthermore, we exploit the structure of tab...

Evaluation of customer satisfaction differs from one study to another. Studies have been differing with their focus and coverage. Most of studies focused on evaluating factors influencing customer satisfaction or associate customer satisfaction and quality of services. This paper used logistic regression to develop customer satisfaction model for Precision Air. Five dimensions or variables have...

The western Anatolia is one of the good examples of fast intra-continental extensional tectonics with active extensional stress rate about 3-4 cm/year. Increasing lithospheric thinning causes increasing geothermal activities in the region and active tectonics has generated seismic activity with destructive earthquakes. Moderate sized earthquakes in the region are actually the dominant source of...

This article concerns the dimension reduction in regression for large dataset. We introduce a new method based on the sliced inverse regression approach, called cluster-based regularized sliced inverse regression. Our method not only keeps the merit of considering both response and predictors information, but also enhances the capability of handling highly correlated variables. It is justified ...

Generalizing a classical problem in enumerative combinatorics, Mansour and Sun counted the number of subsets of Zn without certain separations. Chen, Wang, and Zhang then studied the problem of partitioning Zn into arithmetical progressions of a given type under some technical conditions. In this paper, we improve on their main theorems by applying a convolution formula for cyclic multinomial c...

Customer value analysis is critical for a good marketing and a customer relationship management strategy. An important component of this strategy is the customer retention rate. Customer retention rate has a strong impact on the customer lifetime value, and understanding the true value of a possible customer churn will help the company in its customer relationship management. Conventional stati...

Distant supervised relation extraction (RE) has been an effective way of finding novel relational facts from text without labeled training data. Typically it can be formalized as a multi-instance multilabel problem. In this paper, we introduce a novel neural approach for distant supervised RE with special focus on attention mechanisms. Unlike the feature-based logistic regression model and comp...