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The advent of the Internet of Things (IoT), with modern sensors and sensor-based devices, will significantly stimulate the development of context-aware applications. An effective means to extract higher-level contextual information from sensor data is distributed complex event processing (CEP), which facilitates the analysis of real-time data streams coming from heterogeneous and distributed sources...
Bayesian nonparametric (BNP) models have recently become popular due to their flexibility in identifying the unknown number of clusters. However, they have difficulties handling heterogeneous data from multiple sources. Existing BNP methods either treat each of these sources independently - hence do not get benefits from the correlating information between them, or require to explicitly specify data...
Inferring abstract contexts and activities from heterogeneous data is vital to context-aware ubiquitous applications but still remains one of the most challenging problems. Recent advances in Bayesian nonparametric machine learning, in particular the theory of topic models based on Hierarchical Dirichlet Process (HDP), has provided an elegant solution towards these challenges. However, limited existing...
In the recent years, smart home projects started to gain great attention from academic as well as industrial communities. However, an essential challenge that all smart home ideas face is the provision of the ground truth i.e. the labeled training data required to train the machine learning algorithms which achieve the smartness of the smart home. Another challenging task is to evaluate the correctness...
The evolution simulation is a popular problem not only in biology but in the computer science as well. This paper will introduce the principles of the evolution units. An artificial organism, a digital evolutionary machine (DEM) will be constructed based on these principles. Properties and abilities of DEMs will be shown with resolved and pending questions. After the theoretical approach some experimental...
By its very nature, delivering information as a service upon the demands of the business, service-based business processes offer additional features and benefits that can complement traditional BI implementations in providing enterprises of all sizes a new approach to meet their data integration and analysis needs at all levels in the enterprise. To be successful, BI solutions have required new ways...
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