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With the rapid advance of big data and cloud computing, building high quality big data systems in different application fields has gradually became a popular research topic in academia and industry as well as government agencies. However, more quality problems lead to application errors. Although the current research work has discussed how to ensure the quality of big data applications from several...
With the advent of big data, data is being generated, collected, transformed, processed and analyzed at an unprecedented scale. Since data is created at a fast velocity and with a large variety, the quality of big data is far from perfect. Recent studies have shown that poor quality can bring serious erroneous data costs on the result of big data analysis. Data validation is an important process to...
Securing Internet of Things (IoT) systems is a challenge because of its multiple points of vulnerability. A spate of recent hacks and security breaches has unveiled glaring vulnerabilities in the IoT. Due to the computational and memory requirement constraints associated with anomaly detection algorithms in core networks, commercial in-line (part of the direct line of communication) Anomaly Detection...
The recent years have witnessed the remarkable expansion of publicly available biological data in the related research fields. Many researches in these fields often require massive data to be analyzed by utilizing high-throughput sequencing technologies. However, it is very challenging to interpret the data efficiently due to it high complexity. This paper introduces two new graph algorithms which...
A wide range of crowdsensing smart city applications utilize cloud computing to send, store and publish data. The amount of data sent to the cloud is relatively large and this introduces bandwidth, network and storage challenges. In this paper, we offer a smart city architecture that includes a data reduction service located in the proximity of the crowd. In this data reduction service, we propose...
One of the considerable initiatives towards creating a smart society could be the guarantee of a smart, resilient and reliable power grid. As an attempt to improve the electricity supply service, it would be meaningful for the distributed system operators (DSOs) to be able to monitor the current status of the grid. The prediction of future possible critical situations would then be feasible using...
There is high demand for tools that analyze large sets of streaming data in both industrial and academic settings. While existing work has examined a wide range of issues, we focus on query support. In particular, we focus on providing analysts flexibility with respect to the types of queries they can make on large data sets in real time as well as over historical data. We have designed and implemented...
In the current electricity production mix wind energy is claiming a significant part. In order to guarantee stable electricity production predictability of the wind farm operational behaviour is essential. Big data approaches have the potential for a significant role in realizing this goal. In order to gain insights in turbine operational behaviour it is necessary to obtain a farm wide dataset, containing...
Mass Transportation provides people with access to education, employment and places in the community. However, navigating around public transportation for the visually impaired and physically challenged sections of society is a challenging task. With rapid proliferation of technology, there has been a pressing need to develop enhanced methodologies to help people with disabilities access public transportation...
Big Data generated in exabytes per year has become a watchword of today's research. They are exceptionally afar from the capability of commonly used software tools and also beyond the handling possibility of the single machine architecture. Facing this challenge has activated a requisite to reexamine the data management options. The new avenues of NoSQL Big Data compared to the traditional forms has...
Provides an abstract for each of the keynote presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Cloud Computing allows users to control substantial computing power for complex data processing, generating huge and complex data. However, the virtual resources requested by users are rarely utilized to their full capacities. To mitigate this, providers often perform over-commitment to maximize profit, which can result in node overloading and consequent task eviction. This paper presents a novel...
Bin Packing problems have been widely studied because of their broad applications in different domains. Known as a set of NP-hard problems, they have different variations and many heuristics have been proposed for obtaining approximate solutions. Specifically, for the 1D variable sized bin packing problem, the two key sets of optimization heuristics are the bin assignment and the bin allocation. Usually...
Rural and urban areas are linked. A basic definition of rural-urban linkages is that they consist of flows (of goods, people, information, finance, waste, information, social relations) across space, linking rural and urban areas (Cecilia, 2015). Economically, rural and urban areas are linked by the reciprocal exchange of unprocessed and processed products, with both areas acting as mutually reinforcing...
Social networks are used by cities primarily for announcing local-area events, but also for increasing engagement of citizens in votes and elections. Given the current plethora of heterogeneous social networks, city administrators can benefit from social networks to promote initiatives, which are important to a current smart city as well use them to discover future needs in order to manage resources...
Conventional street cleaning methods include street sweepers going to various spots in the city and manually verifying if the street needs cleaning and taking action if required. However, this method is not optimized and demands a huge investment in terms of time and money. This paper introduces an automated framework which addresses street cleaning problem in a better way by making use of modern...
Popular social networking applications such as Facebook, Twitter, Friendster, etc. generate very large graphs with different characteristics. These social networks are huge, comprising millions of nodes and edges that push existing graph mining algorithms and architectures to their limits. In product-rating graphs, users connect with each other and rate items in tandem. In such bipartite graphs users...
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