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In this paper, a novel empirical data analysis approach (abbreviated as EDA) is introduced which is entirely data-driven and free from restricting assumptions and pre-defined problem- or user-specific parameters and thresholds. It is well known that the traditional probability theory is restricted by strong prior assumptions which are often impractical and do not hold in real problems. Machine learning...
In this paper, initial ideas and possible abstract conceptual designs to utilizing Linked Open Data(LOD) and ontology-based technologies on scalable consensus support systems are presented. Until now, various efforts have been done on building and designing the future of our societies by utilizing some emerging technologies on making collaboration on the Internet-based services. While some successful...
This paper proposes a method for inferring a person's Zheng (evidence) status of traditional Chinese medicine (TCM) using the semi-subjective training patterns which are acquired from the multi-sensors including CCD camera, and semi-subjectively labelled by TCM doctors (TCMDs). After confirming the overlapping of samples belonging to the Zheng class and its negative class based on the extracted eigen...
The cost and effort for developing personal healthcare systems with IoT devices can be substantially high mainly due to complex inference capabilities. To tackle the problems, we proposed INFerence-as-a-Service (INFaaS) in our previous work. INFaaS is a cloud service which provides a core set of common functionality required to develop various context-aware applications. Since INFaaS is designed for...
Causal inference from observational data rely on similar treatment and control groups to isolate for variation, in addition to adjustments in estimates to account for the remaining uncontrollable variation. Propensity score matching and statistical inference are established tools to achieve for these two requirements respectively. Network structures in the underlying data of the experiment challenge...
Currently, the data found in the World Wide Web (WWW) are meaningless, the semantics, the meaning of the data that shows the website is provided by humans when reading the Web page. The Semantic Web need the use of ontologies, data related to a domain through standardized connections where each data element is connected to a larger context in the network. In this paper, we have implemented the presumptive...
Social behaviors such as dining preferences are inextricably linked with physical social locations (e.g., home, work, and hangout location), rather than just due to the personal interests/cultures and influences from social peers. With the uses of location-based services in online social networks over smart phones, such physical social locations are easily available as an effective alternative to...
Next era a massive database requires advanced computing mechanisms for gleaning knowledge from heterogeneous subordinate databases. Future decisions will increasingly rely on the ability to search through a large set of possibilities to optimally find, and easily formulate knowledge. Establishing such computing mechanisms is a vital development for future sustainability.This research involves in importance...
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