Towards Cloud-Based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud

Zulkernine, Farhana; Martin, Patrick; Zou, Ying; Bauer, Michael; Gwadry-Sridhar, Femida; Aboulnaga, Ashraf

doi:10.1109/bigdata.congress.2013.18

Cited by 59 publications

(24 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, metaMaker is a data mining and text mining tool and it can generate XML based files automatically. MetaMaker is introduced for customer preferences calculation matching to business-to-customer model [15]. Starfish is a self-turning big-data analytic system, which builds on Hadoop when adapting to user needs and system workloads to provide good performance automatically [13].…”

Section: Related Workmentioning

confidence: 99%

Implementing a Big-data Based Strategy to Increase Studentsr Enrollment for Dalian Neusoft University of Information

Zhao¹,

Xuan²

2018

Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)

View full text Add to dashboard Cite

Abstract. Currently, education has become a business sector that provides service to students worldwide, which has shown similarity to consumer goods marketing. Higher education is becoming increasingly competitive among universities. Act as a private higher education organization, Dalian Neusoft University of Information (DNUI) aims to distinguish itself from national universities by topping education quality, students' innovation ability and startup across all departments in 2022. This needs the support of the most able and motivated students and sufficient funding. This project proposes a big-e based strategy to deal with the dilemma of this university. This strategy is a combination of big-data techniques, Customer-to-Business (C2B) initiative and Information Technology Outsourcing (ITO). Big-data and information technologies are introduced in business field for customer requirement analysis and preferences prediction. Big-data technique enables scale, scope and speed business. C2B enables consumers to name products or services such that the organization can generate the demand collection for a specific good or service. ITO contributes to cost-saving, skilled labor market and short marketing development time scale. Case based reasoning (CBR) is introduced in this project for logic predicate and propositional logic, which contributes to the likelihood and preferences calculation so as to support strategy innovation and current strategies update. The evaluation data of this project is collected from the random sampling technique and self-administered questionnaires were distributed by mail and online to middle school students in Dalian City. Analytic hierarchy process (AHP) algorithm is introduced for evaluating the reputation achieving of this strategy. The curriculum design is assessed by chi-square test. The location and distance analysis are evaluated by correlations.

show abstract

Section: Related Workmentioning

confidence: 99%

Implementing a Big-data Based Strategy to Increase Studentsr Enrollment for Dalian Neusoft University of Information

Zhao¹,

Xuan²

2018

Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)

View full text Add to dashboard Cite

show abstract

“…This model focuses on synthesizing individual's preferences into business consensus so as to establish a successful business model. Current big-data techniques are mature enough to support significant revolution in business field, which gains distinctive business performance through the following four components: information technology as enabler, process as beneficiary, people as user and organization as facilitator [8,13,14]. Hadoop [9] is one of the most popular big-data warehouses.…”

Section: Related Workmentioning

confidence: 99%

Implementing a Big-Data Based C2B E-commerce in Agricultural Industry

Zhao¹,

Chen²

2018

Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)

View full text Add to dashboard Cite

Abstract. Recently, social networks and communication tools expose customer to extensive business information. This situation incurs higher customer requirements and rapidly changing market environments. Big-data and information technologies are introduced in business field for customer requirement analysis and preferences prediction, so as to respond to the rapidly changing business scenarios and achieve sustainable development. C2B is the reverse model of the traditional Business-to-Customer e-commerce strategy which enables consumers to name products or services such that the organization can generate the demand collection for a specific good or service. In China, current agricultural businesses are limited to B2C e-commerce which cannot accurately figure out urgent market requirements and predict consumer preferences. This situation cannot reverse farmers' inferior position. With consideration of characteristics of agricultural industry, this project deals with agricultural issues with a conceptual e-commerce model named big-data based Customer-to-Business (BD-C2B). This model types big-data and information strategy perspectives to the farming industry and outputs scientific business perspectives, so as to support efficient and effective decision making processes. BD-C2B integrates continuous stream data, information and analytics with stored data, and to analyze stream data chunk-by-chunk while maintaining the continuity of context for farmers to run smarter, more agile e-business. Case based reasoning (CBR) is introduced in this model for logic predicate and propositional logic, which contributes to the likelihood and preferences calculation of new proposed products or services. Analytic hierarchy process (AHP) algorithm and an intuitionistic fuzzy based framework are introduced for evaluating the performance of this model.

show abstract

“…Android platform) has its implications on the prospect users (Android phone users) to which the service and associated content will be delivered [16]. Literature on BDA provides interesting examples of innovation along the technology cluster, where data, information, knowledge and their associated analytical capabilities are offered and delivered as services through cloud infrastructures [14][ [44][45][46].…”

Section: The Servicementioning

confidence: 99%

“…On the conceptual side, some researchers propose BDA systems as collective intelligence systems [75]. Other scholars propose cloud-based AaaS architectures as service provisioning platforms [44,45]. On the other hand, Pääkkönen & Pakkala [76] suggested reference architecture for big data systems behind major digital services such as Netflix and Facebook.…”

Section: The Infrastructurementioning

confidence: 99%

Digital Service Innovation Enabled by Big Data Analytics - A Review and the Way Forward

Rizk

Bergvall-Kåreborn

Elragal

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

show abstract

Towards Cloud-Based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud

Cited by 59 publications

References 9 publications

Implementing a Big-data Based Strategy to Increase Studentsr Enrollment for Dalian Neusoft University of Information

Implementing a Big-data Based Strategy to Increase Studentsr Enrollment for Dalian Neusoft University of Information

Implementing a Big-Data Based C2B E-commerce in Agricultural Industry

Digital Service Innovation Enabled by Big Data Analytics - A Review and the Way Forward

Contact Info

Product

Resources

About