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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
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.
Provides an abstract for each of the tutorial presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Provides an abstract for each of the three 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. The titles of the presentations are: "Data science enabled resiliency analytics and beyond;" "Multi-Layered Access Control with Oracle Database Vault;" and...
Big data is a big business, and effective modeling of this data is key. This paper provides a comprehensive multidimensional analysis of various open source tools for machine learning with big data. An evaluation standard is proposed along with detailed comparisons of the frameworks discussed, with regard to algorithm availability, scalability, speed, and more. The major tools profiled are Mahout,...
With the rapid deployment of a number of sensors, it is crucial to efficiently manage their data streams with heterogeneous properties. To achieve various sensor applications such as discovery and mashup, a method of retrieving meaningful information from raw sensor data is required. However, it is hard to analyze and represent the sensor data since sensors generate streaming data of different patterns...
Bioinformatics datasets contain a number of characteristics, such as noisy data and difficult to learn class boundaries, which make it challenge to build effective predictive models. One option for improving results is the use of ensemble learning methods, which involve combining the results of multiple predictive models into a single decision. Since we do not rely on a single model, we reduce the...
This paper describes a real-time information integration and analytics system called InXite for multi-purpose applications. InXite is designed to detect evolving patterns and trends in streaming data including social media data (e.g., tweets). InXite comprises of multiple modules including InXite Registration and Dashboard, InXite Real-time Data Streamer, InXite Information Integrator and InXite Analytics...
Technology and the digital world have been making an important part of people's lives nowadays. As death is unquestionably a crucial and fundamental part of life, technology and the digital world ought to play an equally important role in end of life issues as well. For instance, the adoption of online social networks (OSNs) has been amplifying to cover large numbers of the world's population playing...
Industry and government organisations across the world increasingly use social media for Customer Relationship Management (CRM) activities that include communicating with customers about their services/products and distilling customer opinions for assessing their effectiveness. In this paper, we explore the exploitation of social media for CRM, and describe the development and functionality of VIZIE...
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