Customer complaints are related to the actual quality of a product or service. If product quality is unobservable ex ante consumers base their purchasing decision on the expected quality. Then, deviations of actual quality from expected quality may determine decisions to submit customer complaints. I test different hypotheses about the effect of actual quality, expected quality, and the differe...

Quality of power is becoming a very important requirement in the new, deregulated and restructured power industry [1]. The importance is associated both with a need to have a “cleaner” power delivery due to a variety of sensitive loads and with a goal to provide a premium service to gain a competitive edge. A major part of achieving higher quality of power is the ability for assessing the quali...

Data and Information Quality (DIQ) is a fast growing research area aiming to improve the effectiveness of decision making in organizations. Due to the multi-disciplinary nature of DIQ research, it is challenging to outline the domain from various views. As a consequence, researchers often focus on only one single aspect of DIQ issues. As far as we know, there is no comprehensive taxonomy of DIQ...

In a competitive telecommunication market where price differentials have been minimized, quality of service (QoS) has become very important. Speech quality is a major dimension of perceived QoS, and the ability to monitor and design for this quality is a top priority. Traditionally, the perceived quality of speech has been measured by expensive and time-consuming subjective listening tests. Ove...

Executive Summary/Abstract: Poor accounts payable data quality has a direct negative impact on an organization’s cash flow. Even so, many organizations still experience data quality problems in their accounts payable process. We have seen a variety of approaches used to assess and address this problem. However, these approaches tend to be applied in a “one off” manner and not in an integrated a...

There is a repeatable series of phases that a data quality initiative will move through as an organization first attempts to achieve a corporate goal and ultimately implements a solution that rectifies the data quality problems that hinder the goal. The IQ Solution Cycle is the series of three phases, Awareness, Quantification, and Implementation that the data quality project team will implicit...

Information quality (IQ) problems can have severe consequences in the health care sector. Since its inception, the Canadian Institute for Health Information (CIHI) has recognized the importance of information quality and has implemented a framework designed to evaluate the data quality of the numerous CIHI data holdings. After one year of implementation, a metaevaluation of the CIHI data qualit...

In the field of data mining, spatial drift refers to the data used to develop the model consists of only one part of the population, and the differences among the samples or between sample and population are unknown. This paper proposes a two-step Bayes method to improve adaptability for different region samples, which also maintains high model accuracy. The new method first groups region based...

This paper presents an overview of the data set that was used for the Cultural Microblog Contextualization Workshop at CLEF 2016 and more specifically for the task 1: tweet contextualization. In this paper we first present a descriptive analysis of the data: we consider the variables or features associated with the tweets and analyse them. Then we also analyse the tweet textual content. The res...

Abstract. The current quality control methodology adopted by the water distribution service provider in the metropolitan region of Porto Portugal, is based on simple heuristics and empirical knowledge. Based on the domain complexity and data volume, this application is a perfect candidate to apply data mining process. In this paper, we propose a new methodology to predict the range of normality...