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Exponential growth in data volume originating from Internet of Things sources and information services drives the industry to develop new models and distributed tools to handle big data. In order to achieve strategic advantages, effective use of these tools and integrating results to their business processes are critical for enterprises. While there is an abundance of tools available in the market,...
Data Science is an emerging field of science, which requires a multi-disciplinary approach and should be built with a strong link to emerging Big Data and data driven technologies, and consequently needs re-thinking and re-design of both traditional educational models and existing courses. The education and training of Data Scientists currently lacks a commonly accepted, harmonized instructional model...
To achieve both the aims of economic development and environment protection, environmental protection industry emerged. Its timely significance attracted great attention. This paper will take Suzhou as an example to analyze the developing situation of environment protection industry from 2007 to 2013 in China. Firstly, it is divided into four parts. Then, grey system model (GM(1,1) model) is used...
This study examines 341 tertiary teachers' pro-industry professional cognition and its influencing factors to serve as a school reference for adjust industry 4.0. The results show that teachers' industry experience has a significant direct effect on tertiary teachers' pro-industry professional cognition, and "teaching innovation self-efficacy has a significant effect on pro-industry professional...
Companies and organizations are acutely admitting the discernment that business itself can be the driving force in developing new innovations and competitive strategies so that the critical and sustainable factor is whether they have it or not and that is one of the substantial factors in of the entity existence. In this research, concerning the enormously appearing and evaporating industries can...
We live in the Era of Big Data in which data sizes massively larger than previously seen, and increasing access to this data, are transforming people's lives in major ways. Two of the main drivers of this era are the proven capability to extract more value from more data; and the exponential growth of available data enabled in large part to mobile devices and the sensor instrumentation of the world...
Research depicts how big data analytics techniques have enabled the new business models which were either hard to shape or impossible to render. Big data platforms hold the promise of improved operational efficiencies and generation of greater revenues with enhanced business growth. Efficiency of big data techniques have been analyzed in the research uses the perspective that it delivers greater understanding...
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...
Fueled by increasingly complex and dynamic business environments, agility has risen to a strategic priority in many industries. The need to efficiently react not only to expected developments but also to unforeseen events requires responsive decision support approaches -- an agile Business Intelligence (BI). A puzzling variety of measures has been proposed for pursuing this aim -- from modified data...
Testing data-intensive systems is paramount to increase our reliance on information processed in e-governance, scientific/ medical research, and social networks. A common practice in the industrial testing process is to use test databases copied from live production streams to test functionality of complex database applications that manage well-formedness of data and its adherence to business rules...
It is increasingly difficult for game developers to build a mobile game that achieves the top positions on app store charts. There is currently no clear strategy to build successful games. In this context, the main purpose of our work is to investigate the relationship between the mobile game features and their success in terms of the number of downloads and the gross revenue. This paper extends a...
Advanced asset health management solutions blend business intelligence with analytics that incorporate expert operational knowledge of industrial equipment and systems. Key challenges in developing these solutions include: streamlining the capture and prepackaging of operational experts' knowledge as analytic modules, efficiently evolving the modules as knowledge grows, adapting the analytics in the...
M2M (Machine to machine) service has been designed to provide the customer with remote monitoring and control for various sensors and controllers. M2M platform is composed of a bunch of the software and devices equipped with network connectivity providing data manipulation and exchange among devices and applications. It is also required to be equipped with data management and analysis functions independent...
This article is intended to establish a new customer life cycle based on traditional customer life cycle model, depending on China Unicom needs and the characteristics of China Unicom customer. The model uses time dimension and generalized linear model to divide the customer life cycle and subdivide it with Z value model. The paper uses the example of China Unicom 3G customer life cycle model in practice...
We describe a new approach to modeling and analyzing software development documents that are typically written using conventional office applications. Our approach brings automation to content extraction, quality checking and measurement of massive document artifacts that tend to be handled by labor-intensive manual work in industry today. Rather than seeking an approach based on creation or rewriting...
An integrated model of Cellular Automata (CA) and Agent is developed to model land use scenario changes and its potential impact on the structure and function in typical region which are helpful to understand the mechanism between land use system and population growth. This model makes a fusion of agent and CA self organization models for flexible computing in order to developed a system of urban...
Internet-based group-buying has become a new growth point for China's e-commerce. By studying B2C group-buying model, this paper has collected data of 20 major Chinese group-buying websites, studied factors that might influence Internet users' group-buying behavior, proposed a new model for evaluating the value of Internet enterprises, and provided a feasible reference model for the evaluation and...
In 2010, China's domestic value-added tax revenue is 2.109195 trillion yuan, accounting for 29% of the total income tax revenue, is one of China's current major taxes. Therefore, based on the data in the CTAIS to analyse the tax burden, and constructs the VAT tax burden warming system, is the effective measures to keep the rapid growth of VAT. meanwhile, through drawing up the value added table, can...
This paper investigates sources of crime data mining, methodologies for knowledge discovery, by pointing out which forms knowledge discovery is suitable for which methodology. Furthermore, it identifies which data sources should be used for which knowledge discovery form in crime data mining. Similarities and differences between crime data mining methodologies show that some forms of knowledge discovery...
With previous literature that supports the importance of CSR in consumer behavior, this study is aimed to examine its role on store loyalty. In addition, shopping orientations has also been investigated as the antecedent of CSR and also store loyalty. Data were collected through self-administered questionnaire based on quota sampling of the population. Using structural equation modeling, the study...
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