2016 2nd International Conference on Open and Big Data (OBD)

22-24 Aug. 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): C4
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  • [Title Page i]

    Publication Year: 2016, Page(s): i
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  • [Title Page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - vi
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  • Message from the OBD 2016 Program Co-Chairs

    Publication Year: 2016, Page(s): vii
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  • OBD 2016 Organizing Committee

    Publication Year: 2016, Page(s): viii
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  • OBD 2016 Program Committee

    Publication Year: 2016, Page(s): ix
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  • Evaluating the Scaling of Graph-Algorithms for Big Data Using GraphX

    Publication Year: 2016, Page(s):1 - 8
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (648 KB) | HTML iconHTML

    Graph processing has achieved a lot of attention in different big data scenarios. In this paper, we present the design, implementation, and experimental evaluation of graph processing algorithms in two different application areas. First, we use semi-clustering as an example of an algorithm typically used social network analysis. Then, we examine an algorithm for collaborative filtering as typicall... View full abstract»

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  • Mining Social Capital on Online Social Networks with Strong and Weak Ties

    Publication Year: 2016, Page(s):9 - 16
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (295 KB) | HTML iconHTML

    The concept of social capital refers to the advantage that is created from the structures of an actor's social ties within a network. This paper presents an approach to investigate the extent to which a particular network is characterized by brokerage or closure social capital based on triadic analysis. We split each network into two, respectively comprising of strong and weak ties. To facilitate ... View full abstract»

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  • Measures for Assessing the Data Freshness in Open Data Portals

    Publication Year: 2016, Page(s):17 - 24
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (220 KB) | HTML iconHTML

    Many applications and use cases which consume Open Data rely on up-to-date information. However, scarcely any major Open Data portal provides the users with tangible on how current the data sources are. In order to create a freshness metrics that would solve the mentioned issues, we need to i) learn the change history of a data source and ii) apply a heuristic to estimate how up-to-date a data sou... View full abstract»

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  • MedRec: Using Blockchain for Medical Data Access and Permission Management

    Publication Year: 2016, Page(s):25 - 30
    Cited by:  Papers (108)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (394 KB) | HTML iconHTML

    Years of heavy regulation and bureaucratic inefficiency have slowed innovation for electronic medical records (EMRs). We now face a critical need for such innovation, as personalization and data science prompt patients to engage in the details of their healthcare and restore agency over their medical data. In this paper, we propose MedRec: a novel, decentralized record management system to handle ... View full abstract»

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  • Mining Semantic Location History for Collaborative POI Recommendation in Online Social Networks

    Publication Year: 2016, Page(s):31 - 38
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (264 KB) | HTML iconHTML

    Location-based social networks (LBSNs) have recently attracted millions of mobile users to explore attractive locations and share their visited experiences. As the increasing use of the online social networks, people demand personalized service to recommend places of interests (POIs) based on their personal preferences. Among POIs recommendation approaches, collaborative filtering that predicts PO... View full abstract»

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  • Cloud-Based Data Analysis of User Side in Smart Grid

    Publication Year: 2016, Page(s):39 - 44
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (201 KB) | HTML iconHTML

    In smart grid, more data will be collected at finer granularity. It will promote the development of power system control and innovation technology. With the advantages of cloud computing technology are becoming increasingly prominent, it is gradually entering into power industry research. This paper focuses on cloud-based data processing and analysis techniques of user side in smart grid. To prove... View full abstract»

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  • Discovering Contrast Sets for Efficient Classification of Big Data

    Publication Year: 2016, Page(s):45 - 51
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (217 KB) | HTML iconHTML

    Due to the recent emergence of Big Data, it is essential to develop techniques to reduce the processing time of such Big Data. In this paper, we propose to reduce the dimensionality of objects' feature vectors by discovering their contrast sets. Contrast set mining aims at finding a set of rules that best distinguish the instances of different user-defined groups. Thus, contrast sets are conjuncti... View full abstract»

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  • Utilizing Big Data Analysis for Diseases Prevention and Control During Hajj

    Publication Year: 2016, Page(s):52 - 56
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (338 KB) | HTML iconHTML

    This is a conceptual paper that aims to make use of annually accumulated big data collected from more than two million pilgrims gathered in one place at one time in the Kingdom of Saudi Arabia during the Hajj. This paper proposes an approach to Hajj Health Control (HHC) to handle big data issues and avoid data loss, which will lead to improved healthcare and assist with disease prevention systems ... View full abstract»

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  • Measuring Fuzzy Atomicity for Composite Service Execution

    Publication Year: 2016, Page(s):62 - 71
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (617 KB) | HTML iconHTML

    The ACID (Atomicity, Consistency, Isolation, and Durability) model has played a cornerstone role in service composition to guarantee that Composite Services (CSs) have transactional support and consistent outcomes (”all-or-nothing” property). However, the classical ”all-or-nothing” model is too restrictive for loosely coupled and distributed environments as Internet. Some approaches have been prop... View full abstract»

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  • Characteristics of Open Data CSV Files

    Publication Year: 2016, Page(s):72 - 79
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (775 KB) | HTML iconHTML

    This work analyzes an Open Data corpus containing 200K tabular resources with a total file size of 413 GB from a data consumer perspective. Our study shows that ~10% of the resources in Open Data portals are labelled as a tabular data of which only 50% can be considered CSV files. The study inspects the general shape of these tabular data, reports on column and row distribution, analyses the avail... View full abstract»

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  • Open Data Portal - A Technical Enabler to Drive Innovation in Namibia

    Publication Year: 2016, Page(s):80 - 86
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (361 KB) | HTML iconHTML

    Promising a world of endless opportunities, open data is increasingly becoming a global phenomenon, attracting interests from many governments, such as the United States of America, Germany, United Kingdom, Canada and Kenya to mention a few. Furthermore, institutions such as the United Nations, World Bank and the African Development Bank. Seeking ways to harness value from open data, these countri... View full abstract»

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  • Managing and Storing Function Results in Temporal Approach

    Publication Year: 2016, Page(s):87 - 94
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (400 KB) | HTML iconHTML

    Data retrieval as a complex data management approach belongs to one of the most important parameters affecting system performance, management and data processing. One of the tools for improving performance, reducing time-consumption as well as the total cost is based on index definition. Nowadays, we can distinguish various types of indexes affected by the flags and specified properties. In this p... View full abstract»

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  • Towards a Reference Architecture for Trusted Data Marketplaces: The Credit Scoring Perspective

    Publication Year: 2016, Page(s):95 - 101
    Cited by:  Papers (5)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (290 KB) | HTML iconHTML

    Data sharing presents extensive opportunities and challenges in domains such as the public sector, health care and financial services. This paper introduces the concept of "trusted data marketplaces" as a mechanism for enabling trusted sharing of data. It takes credit scoring-an essential mechanism of the entire world-economic environment, determining access for companies and individuals to credit... View full abstract»

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  • Software Application Logging: Aspects to Consider by Implementing Knowledge Management

    Publication Year: 2016, Page(s):102 - 107
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (150 KB) | HTML iconHTML

    Standard workday today includes use of software applications that enable faster task processing and can do so for several tasks in parallel for us. Still, also the best applications can stop working or may not work correctly. For investigating such unintended malfunctioning of a software application, logging is very important. By examining application logs, software developers can find the cause a... View full abstract»

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  • Author index

    Publication Year: 2016, Page(s): 108
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  • [Publisher's information]

    Publication Year: 2016, Page(s): 110
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