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Customer segmentation provides an effective and efficient way to obtain insights into customer characteristics and behavioral preferences. To enhance customer relationship management and focus on a dynamically changing marketplace, the authors built a two-layer clustering model for mobile telecom customer analysis. The first layer identifies the cluster by domain in accordance with the contribution...
In recent years, the rapid development of Internet, Internet of Things, mobile application and Cloud Computing have led to the explosive growth of data in almost every business and industry area. Today, the big data technology and concepts have been gradually applied to the traditional industry from the Internet industry, big data has become an important driving force for economic reform and development...
The vigorous growth of big data has triggered both opportunities and challenges in business and industry. However, Web big data distributed in diverse sources with multiple data structures frequently conflict with each other, i.e. inconsistency in cross-source Web big data. In this paper, we propose a state-of-the-art architecture of auto-discovering inconsistency with Web big data. Our contributions...
In their quest for data-driven insight, firms align their resources to produce information that is actionable. Moreover, the bundling and utilization of these valuable resources is what defines an organizational capability. Thus, in this paper we conceptualize a new type of capability - data analytics capabilities, DAC, as the ability to assemble, coordinate, mobilize, and deploy analytics-based resources...
Discrete-event simulation has been established as an important methodology in various domains. In particular in the automotive industry, simulation is used to plan, control, and monitor processes including the flow of material and information. Procedure models help to perform simulation studies in a structured way and tools for data preparation or statistical analysis provide assistance in some phases...
Content, evaluation, and applications of competence have been important issues in both academic and practical applications since the 1970s. On the one hand, studies on psychological assessment, human resources management and development have extensively discussed the definition and classification of competence; on the other hand, practical research on the competences of different occupations has attracted...
Interviews were undertaken with 26 highly experienced conceptual modelers to determine how they undertook conceptual modeling in practice. Major types of cognitive states and events experienced by the conceptual modelers, as manifested in typed transcripts of the interviews, were then identified and coded. Based on the codes and the interview transcripts, a descriptive, process-oriented theory of...
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between nodes. Disregarding the content of text data for network analysis can limit our understanding of the effects of language use in networks. We present a computational and interdisciplinary methodology that addresses this limitation...
This paper presents an integrated intelligent system being capable of automatically estimating and updating a large-size matrix. In the theoretical economics, the input-output model of economics uses a matrix representation of a nation's (or a region's) economy to predict the effect of changes in one industry on others and by consumers, government, and foreign suppliers on the economy. The system...
Discovering knowledge from a waste amount of data has become a promising area nowadays, but at the same time it is a very intricate, uncertain and time consuming process. The complexity of a data collection, the oscillations in data quality and their impact on the discovery process, as well as the applicability of results, urge for an extensive research and gain of experience to overcome the difficulties...
In this work we present an instance of an architecture for the development of robust evolving predictive models. The architecture provides a conceptual framework for the development of such models while at the same time it provides mechanisms for the minimisation of effort needed for the development and maintenance of the models. These mechanisms deal with the model and parameter selection, model...
This paper presents a data gathering system based on agents in Advanced Process Control (APC) [1, 5]. APC contributes to the enhancement of productivity, product yield and quality through micro process control in the automated processing. The data gathering system enables APC to operate micro process control by gathering data from the process control system not only in the current process in real...
In this paper, the method for simplifying if-then rules obtained from decision table by rough sets-based method is proposed based on the concepts of interior competition factor, exterior competition factor and remarkable degree. Using the proposed method, the main features of Japanese industries are analyzed. The analysis results show that the proposed method is very efficient for classification problems...
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