64 research outputs found

    A scalable framework for stylometric analysis of multi-author documents

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    This is an accepted manuscript of a chapter published by Springer in Database Systems for Advanced Applications. DASFAA 2018. Lecture Notes in Computer Science, vol 10827 on 13/05/2018, available online: https://doi.org/10.1007/978-3-319-91452-7_52 The accepted version of the publication may differ from the final published version.Stylometry is a statistical technique used to analyze the variations in the author’s writing styles and is typically applied to authorship attribution problems. In this investigation, we apply stylometry to authorship identification of multi-author documents (AIMD) task. We propose an AIMD technique called Co-Authorship Graph (CAG) which can be used to collaboratively attribute different portions of documents to different authors belonging to the same community. Based on CAG, we propose a novel AIMD solution which (i) significantly outperforms the existing state-of-the-art solution; (ii) can effectively handle a larger number of co-authors; and (iii) is capable of handling the case when some of the listed co-authors have not contributed to the document as a writer. We conducted an extensive experimental study to compare the proposed solution and the best existing AIMD method using real and synthetic datasets. We show that the proposed solution significantly outperforms existing state-of-the-art method

    The European Union’s Role in the Formation of India’s Climate Change Policy. Bruges Regional Integration & Global Governance Papers 2/2012, September 2012

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    This paper focuses on the role of the European Union (EU) in the formation of India’s climate change policy; an increasingly high profile issue area. It is based on an extensive study of relevant literature, EU-India policy documents and the execution of thirteen semi-structured interviews with experts; many of whom have experienced EU-India cooperation on climate change first-hand. A three-point typology will be used to assess the extent of the EU’s leadership role, supporting role or equal partnership role in India, with several sub-roles within these categories. Further, for clarity and chronology purposes, three time periods will be distinguished to assess how India’s climate policy has evolved over time, alongside the EU’s role within that. The findings of the paper confirm that the EU has demonstrated signs of all three roles to some degree, although the EU-India relationship in climate policy is increasingly an equal partnership. It offers explanations for previous shortcomings in EU-India climate policy as well as policy recommendations to help ensure more effective cooperation and implementation of policies

    Information architecture strategy report for Chez Emily

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    Chez Emily handmade chocolate company contracted with the author (information architect) of this report in order to develop strategic approach and recommendations for optimising information architecture of their site and, in this way, increase competitive advantage of Chez Emily. This report provides an analysis of current site, its drawbacks and weaknesses. Also, recommendations and examples for improvement of current information architecture of the site are provided and discussed in detail. The problems encountered in the current site are as follows: The site cannot facilitate expanding range of products. Lack of consistency throughout the labelling of the site is causing confusion and impedes content discovery. Content organisation is becoming increasingly chaotic, i.e. many items are “buried” in unsuitable categories and this, in turn, affects user experience of the site. Consequently, our information architecture strategy will address these main issues of the site. Therefore, recommendations in this report address: Content organization. Consistency of labelling throughout the site. Navigation systems of the site. Content management (controlled vocabulary and metadata). Also, recommendations were developed with business context, content and the user in mind, i.e. information architecture principles were applied by creating “custom fit” for this particular site. All recommendations are supported by examples provided either as figures within the main body of report, included in the appendices or supplied in a separate file together with this report. In addition, wireframes and blueprints are used for visual representation of recommended strategy. Lastly, our ultimate goal of this report is to develop a well-rounded information architecture strategy that helps enhance user experience, ease content management and will support further growth of Chez Emily. Author keywords: Information architecture, XML, metadata, information retrieva

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    Investigating the contribution of leadership “transformational and transactional” to innovation in technology sector in Ireland

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    This research paper identifies ‘Transformational and Transactional’ leadership and its contribution towards managing innovation in the technology sector in Ireland. This research has a case study approach of IBM and SAP, and the methodology used to collect the primary data is via qualitative. The conceptual framework have been created by using mixed contemporary models e.g. the added impact of transformational leadership model, innovation process model, and embodiment of situational leadership. These models have fused in conceptual framework to concentrate on the research goals. Keeping in mind the end goal to study and to actuate rich data understanding, six top executive meetings have been held with senior innovation leaders in IBM and SAP. Narrative data analysis has been practiced to support the research objectives and to figure out the reliable and practical findings. Research findings demonstrates that both initiatives - transformational and transactional, have huge contribution to innovation in technology division. while managing innovation process; every leaderships has reasons and means to practice taking into account the given circumstances and environment they work; innovation leaders predominantly start their innovation project under transformational leadership, however, they drastically change their way to transactional leadership when they face difficulties and vulnerability. Research findings raised that, transformational leadership adds to articulate vision and transactional leadership add to accomplish that vision through micro-planning and execution. Author keywords: Innovation, contribution, leadership, transformational, transactional, innovation management, innovation process models, vision, conceptual framework

    Improving client-contractor collaboration during the transition from the Bouwteam phase into the execution phase in a Bouwteam project

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    Better collaboration in the construction industry might lead to a more efficient construction process and a high reduction of failure costs. A model that tries to support collaboration, is a Bouwteam. In a Bouwteam, the contractor is already involved in the design process and shares his knowledge about the realization costs of the design and its execution. This makes it possible to design more cost-consciously and reduces the chance of adjustments during the execution. Although a Bouwteam offers many advantages, practice shows that collaboration within this model can still be improved. Several researches have been conducted about the collaboration in the Bouwteam phase, where client and contractor work together. However, no research has been done about the phase thereafter, the transition from the Bouwteam phase into the execution phase. Therefore, this research focuses on how client-contractor collaboration can be improved during the transition from the Bouwteam phase into the execution phase in a Bouwteam project.Civil Engineering | Construction Management and Engineerin

    Adoption of cloud computing by SMEs in emerging markets (India)

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    In 21st century, Cloud computing has been one of the most discussed subject in the world of information technology. Many companies are moving to cloud technology today. Cloud computing is a popular term for business today. Cloud technology has witnessed a drastic growth in recent years and its popularity is increasing by leaps and bounds. Cloud Computing is not a trend anymore it has become an important tool for many organizations (Vaquero, et al., 2009) Every company has a huge amount of data and information which need to be stored somewhere. Cloud allows us to store and access data and programs over the internet instead of using a storage drive. Huizenga (2005) explained that “cloud computing is an innovative technology, little evidence has so far been gathered on the factors that contribute to the success of innovation in information technology”. This dissertation contains an in-depth literature review and primary data through surveys conducted with the various professionals in India who are using Amazon.com cloud services. The aim of this research is to provide a better understanding of what Cloud computing is regarding to its adoption, implications as well as the process of adoption by SME in emerging markets. Different aspects of adoption of cloud computing will be discussed from a SME perspective. It builds detailed knowledge about the specific purpose to increase the value of future SMEs in emerging markets investment in Cloud computing. The research topic of this dissertation is: “Adoption of Cloud Computing by SMEs in emerging markets” This research has taken a Quantitative, interpretive and cross-sectional designs in the form of a self-administered questionnaire through survey. Gaps that were identified in the literature review and primary data are later discussed in data analysis and conclusion. Based on the findings, the researcher has explained the different aspects of cloud computing in relation to its benefits. A study was conducted with 109 customers of different SMEs in India who are using Amazon cloud services. Author keywords: Cloud computing, SMEs, emergent market

    Workshop on Human-in-the-loop Data Curation

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    Although data quality is a long-standing and enduring problem, it has recently received a resurgence of attention due to the fast proliferation of data analytics, machine learning, and decision-support applications built upon the wide-scale availability and accessibility of (big) data. The success of such applications heavily relies on not only the quantity, but also the quality of data. Data curation, which may include annotation, cleaning, transformation, integration, etc., is a critical step to provide adequate assurances on the quality of analytics and machine learning results. Such data preparation activities are recognised as time and resource intensive for data scientists as data often comes with a number of challenges that need to be tackled before it can be used in practice. Data re-purposing and the resulting distance between design and use intentions of the data, is a fundamental issue behind many of these challenges. These challenges include a variety of data issues such as noise and outliers, incompleteness, representativeness or biases, heterogeneity of format or semantics, etc. Mishandling these challenges can lead to negative and sometimes damaging effects, especially in critical domains like healthcare, transport, and finance. An observable distinct feature of data quality in these contexts is the increasingly important role played by humans, being often the source of data generation and the active players in data curation. This workshop will provide an opportunity to explore the interdisciplinary overlap between manual, automated, and hybrid human-machine methods of data curation.Web Information System
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