1,624 research outputs found
A visual analytics platform for competitive intelligence
Silva, D., & Baรงรฃo, F. (2023). MapIntel: A visual analytics platform for competitive intelligence. Expert Systems, [e13445]. https://doi.org/https://www.authorea.com/doi/full/10.22541/au.166785335.50477185, https://doi.org/10.1111/exsy.13445 --- Funding Information: This work was supported by the (research grant under the DSAIPA/DS/0116/2019 project). Fundaรงรฃo para a Ciรชncia e Tecnologia of Ministรฉrio da Ciรชncia e Tecnologia e Ensino SuperiorCompetitive Intelligence allows an organization to keep up with market trends and foresee business opportunities. This practice is mainly performed by analysts scanning for any piece of valuable information in a myriad of dispersed and unstructured sources. Here we present MapIntel, a system for acquiring intelligence from vast collections of text data by representing each document as a multidimensional vector that captures its own semantics. The system is designed to handle complex Natural Language queries and visual exploration of the corpus, potentially aiding overburdened analysts in finding meaningful insights to help decision-making. The system searching module uses a retriever and re-ranker engine that first finds the closest neighbours to the query embedding and then sifts the results through a cross-encoder model that identifies the most relevant documents. The browsing or visualization module also leverages the embeddings by projecting them onto two dimensions while preserving the multidimensional landscape, resulting in a map where semantically related documents form topical clusters which we capture using topic modelling. This map aims at promoting a fast overview of the corpus while allowing a more detailed exploration and interactive information encountering process. We evaluate the system and its components on the 20 newsgroups data set, using the semantic document labels provided, and demonstrate the superiority of Transformer-based components. Finally, we present a prototype of the system in Python and show how some of its features can be used to acquire intelligence from a news article corpus we collected during a period of 8 months.preprintauthorsversionepub_ahead_of_prin
The development and initial validation of an outcome measure for children and young people with life-limiting and life-threatening conditions
BackgroundThere is no validated outcome measure for use in children's palliative care outside of sub-Saharan Africa. Development of such a measure is required to realise the benefits of patient-centred outcome measure use that has been demonstrated in adult palliative care. Previous research into what is important to children and young people with life-limiting and life-threatening conditions has primarily focused on those with a cancer diagnosis. Much of this pre-existing research focuses on the perspectives of proxies, rather than those of the child or young person.AimTo develop an outcome measure, the children's palliative outcome scale (C-POS), for use by children and young people with life-limiting and life-threatening conditions and their families, and to establish face and content validity, comprehensiveness, comprehensibility, feasibility, and acceptability of use.MethodsA sequential mixed-methods study was conducted in three phases, following the principles of patient-reported outcome measurement design described by Rothrock and the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN).Phase 1 - gathering inputA systematic review was conducted with the aim of appraising the evidence on optimal recall period, response format and mode of administration to enable children and young people to participate in self-reporting on their health outcomes. A young person's advisory group was also consulted on the same topic.To inform face and content validity of C-POS a semi-structured qualitative interview study was conducted to seek the perspectives of children and young people, their parents/carers and siblings, health care professionals and NHS commissioners on priority symptoms, concerns, and care priorities. Participants were also asked to identify their preferences for the design of C-POS, in terms of recall period, response scale format and administration mode.Phase 2 - item generationPart 1: Parents and professionals with experience in caring for a child or young person with a life-limiting or life-threatening condition participated in a three-round modified ranking-type Delphi survey with the aim of establishing which outcomes identified in phase 1 of this thesis should be included in C-POS.Part 2: The young personโs advisory group were asked to select their priority outcomes from the items ranked in rounds 2 and 3 of the Delphi survey.Part 3: An item generation meeting was conducted with key stakeholders to develop initial C-POS versions based on the evidence collected so far.Phase 3 - item improvementCross-sectional cognitive interview study to establish acceptability, comprehensiveness, and comprehension of the initial C-POS versions within the target population.ResultsPhase 1 - gathering inputSystematic review: Findings showed that children under five years old cannot validly and reliably self-report health outcomes. Face scales demonstrated better psychometric properties than visual analogue or Likert scales. Computerised and paper scales generally show equivalent construct validity and children prefer computerised measures. Children seven years old and younger often think dichotomously so may need two response options. Those over eight years old can reliably use a three-point scale.Qualitative interview study: 106 participants were recruited: 26 children, 40 parents, 13 siblings, 15 health care professionals and 12 commissioners. Children found a short recall period and a visually appealing measure with 10 questions or fewer most acceptable. Children with life-limiting conditions were more familiar with using rating scales such as numeric and Likert than their healthy siblings and emphasised the importance of completing the measure alongside interactions with a healthcare professional. Parents assumed that electronic completion methods would be most feasible and acceptable but a small number of children preferred paper measures.Participants described many inter-related symptoms, concerns and care priorities impacting on all aspects of life. Data revealed an overarching theme of pursuing โnormalityโ, described as childrenโs desire to undertake usual childhood activities. Parents need support with practical aspects of care to help realise this desire for normality.Phase 2 - item generationPart 1: Delphi survey (n=82). Ranking agreement between participants increased over the rounds, indicating movement towards consensus. Agreement between professional and parent ranking was poor. Professionals prioritised physical symptoms, whereas parents prioritised psychosocial and practical concerns.Part 2: 22 children and young people attended the young person's advisory group. They prioritised items related to living a โnormal lifeโ such as seeing friends and attending school, in addition to items prioritised by the adult participants in the Delphi survey.Part 3: 22 participants attended the item generation meeting. Fiveage/developmental stage appropriPhase 3 - item improvementForty-eight individuals participated (36 parents; 12 children) in cognitive testing of the C-POS versions. This revealed challenges in the acceptability of some items for parents of non-verbal children and refinements were made. C-POS content and length were acceptable, and all questions were considered important. Parents reported that completing a measure that asks about what matters may be distressing but this is anticipated and acceptable.ConclusionsThis thesis demonstrates the development of the first UK patient-centred outcome measure for use with children and young people with life-limiting and life-threatening conditions and their families. By following established methodological criteria for patient-centred outcome measure development this thesis demonstrates that CPOS has robust face and content validity and is feasible and acceptable for use within the target population.</div
Multidisciplinary perspectives on Artificial Intelligence and the law
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (โAIโ) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics โ and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Catรณlica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio
Measuring the Impact of Chinaโs Digital Heritage: Developing Multidimensional Impact Indicators for Digital Museum Resources
This research investigates how to best assess the impact of Chinaโs digital heritage and focuses on digital museum resources. It is motivated by the need for tools to help governing bodies and heritage organisations assess the impact of digital heritage resources. The research sits at the intersection of Chinese cultural heritage, digital heritage, and impact assessment (IA) studies, which forms the theoretical framework of the thesis. Informed by the Balanced Value Impact (BVI) Model, this thesis addresses the following questions: 1. How do Western heritage discourses and Chinese culture shape โcultural heritageโ and the museum digital ecosystem in modern China? 2. Which indicators demonstrate the multidimensional impacts of digital museum resources in China? How should the BVI Model be adapted to fit the Chinese cultural landscape? 3. How do different stakeholders perceive these impact indicators? What are the implications for impact indicator development and application? This research applies a mixed-method approach, combining desk research, survey, and interview with both public audiences and museum professionals. The research findings identify 18 impact indicators, covering economic, social, innovation and operational dimensions. Notably, the perceived usefulness and importance of different impact indicators vary among and between public participants and museum professionals. The study finds the BVI Model helpful in guiding the indicator development process, particularly in laying a solid foundation to inform decision-making. The Strategic Perspectives and Value Lenses provide a structure to organise various indicators and keep them focused on the impact objectives. However, the findings also suggest that the Value Lenses are merely signifiers; their signified meanings change with cultural contexts and should be examined when the Model is applied in a different cultural setting. This research addresses the absence of digital resource IA in Chinaโs heritage sector. It contributes to the field of IA for digital heritage within and beyond the Chinese context by challenging the current target-setting culture in performance evaluation. Moreover, the research ratifies the utility of the BVI Model while modifying it to fit Chinaโs unique cultural setting. This thesis as a whole demonstrates the value of using multidimensional impact indicators for evidence-based decision-making and better museum practices in the digital domain
ํ์๋์ ์ ์์ ๋ถ ์ฌ์ฉ์์ ๋ง์กฑ๋ ๋ถ์
ํ์๋
ผ๋ฌธ(์์ฌ) -- ์์ธ๋ํ๊ต๋ํ์ : ํ์ ๋ํ์ ํ์ ํ๊ณผ, 2023. 2. Seok-Jin Eom.E-Government users satisfaction is an important factor for users to continue using E-Government Systems. Many countries, developed and developed ones, have been using E-Government services with the intention of transforming public service institutions and public services delivery. Governments have been investing heavily in E-Government so as to deliver quality services, engaging the community and stakeholders in decision making process and with the intention of minimizing corruption. There still remains the question of what factors really influence e-Government users satisfaction.
This study aims to examine factors influencing E-Government users satisfaction, by using the E-Office Management System at the Judiciary of Tanzania as the case study. Basing on available literature on the field of e-Government, four independent variables that may influence E-Office Management System users satisfaction are examined in this study. Identified independent variables for this study are System Quality, Information Quality, Service Quality and Security and Privacy. Furthermore, Gender, Age, Level of Education, Working Experience, Job Position and Frequency of Using E-Office Management System are used as control variables of this study.
From four independent variables, four hypotheses were formulated in this study. Survey data from 112 employees of the Judiciary of Tanzania who have access to e-Office Management System were collected and used to test four hypotheses of the study. IBM SPSS Statistics software was used to analyze data collected from the respondents of this study.
Findings show that Information Quality and Security and Privacy positively influence e-Office Management System users satisfaction. However, this study did not confirm if System Quality and Service Quality have a positive influence on E-Office Management System users satisfaction. Moreover, all control variables were not confirmed to have any positive influence on users satisfaction. The findings of this study provide some insights to decision makers to keep into consideration factors that positively influence E-Government users satisfaction, and calls for more research to be conducted on effects of service quality and system quality on e-government users satisfaction.
Keywords: System Quality, Information Quality, Service Quality, Security and Privacy, and e-government users satisfaction.
Student Number: 2021-28985์ ์์ ๋ถ ์ฌ์ฉ์์ ๋ง์กฑ๋๋ ์ฌ์ฉ์๊ฐ ์ ์์ ๋ถ ์์คํ
์ ์ง์์ ์ผ๋ก ์ฌ์ฉํ๊ธฐ ์ํ ์ค์ํ ์์์ด๋ค. ์ ์ง๊ตญ์ ๋ง๋ก ํ ๋ง์ ๊ตญ๊ฐ๋ค์ด ๊ณต๊ณต์๋น์ค ๊ธฐ๊ด๊ณผ ๊ณต๊ณต์๋น์ค ์ ๊ณต์ ์ ํํ๋ ค๋ ์๋๋ก ์ ์์ ๋ถ ์๋น์ค๋ฅผ ์ด์ฉํด ์๋ค. ์ ๋ถ๋ ์์ง์ ์๋น์ค๋ฅผ ์ ๊ณตํ๊ธฐ ์ํด ์ ์ ์ ๋ถ์ ๋ง์ ํฌ์๋ฅผ ํด์๊ณ , ์ง์ญ ์ฌํ์ ์ดํด ๊ด๊ณ์๋ค์ ์์ฌ ๊ฒฐ์ ๊ณผ์ ์ ๊ด์ฌํ๊ฒ ํ๊ณ ๋ถํจ๋ฅผ ์ต์ํํ๋ ค๋ ์๋๋ก ์ฐธ์ฌ์์ผ์๋ค. ์ ์์ ๋ถ ์ฌ์ฉ์์ ๋ง์กฑ๋์ ์ค์ ๋ก ์ํฅ์ ๋ฏธ์น๋ ์์๊ฐ ๋ฌด์์ธ์ง์ ๋ํ ์ง๋ฌธ์ ์ฌ์ ํ ๋จ์ ์๋ค.
๋ณธ ์ฐ๊ตฌ์ ๋ชฉ์ ์ ํ์๋์ ์ฌ๋ฒ๋ถ์ E-Office Management ์์คํ
์ ์ฌ๋ก์ฐ๊ตฌ๋ก ํ์ฉํ์ฌ ์ ์์ ๋ถ ์ด์ฉ์์ ๋ง์กฑ๋์ ์ํฅ์ ๋ฏธ์น๋ ์์ธ์ ๋ถ์ํ๋ ๊ฒ์ด๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ์ ์์ ๋ถ ๋ถ์ผ์ ๊ดํ ๋ฌธํ์๋ฃ๋ฅผ ๋ฐํ์ผ๋ก ์ ์์ฌ๋ฌด๊ด๋ฆฌ์์คํ
์ด์ฉ์์ ๋ง์กฑ๋์ ์ํฅ์ ๋ฏธ์น ์ ์๋ 4๊ฐ์ง ๋
๋ฆฝ๋ณ์๋ฅผ ํ์ธํ์๋ค. ๋ณธ ์ฐ๊ตฌ์์ ํ์ธ๋ ๋
๋ฆฝ ๋ณ์๋ ์์คํ
ํ์ง, ์ ๋ณด ํ์ง, ์๋น์ค ํ์ง, ๋ณด์ ๋ฐ ๊ฐ์ธ ์ ๋ณด ๋ณดํธ์ด๋ค. ๋ํ ์ฐ๊ตฌ์ ํต์ ๋ณ์๋ก๋ ์ฑ๋ณ, ์ฐ๋ น, ๊ต์ก์์ค, ๊ทผ๋ฌด๊ฒฝ๋ ฅ, ์ง์, E-Office Management ์์คํ
์ฌ์ฉ๋น๋ ๋ฑ์ด ์ฌ์ฉ๋๊ณ ์๋ค.
๋ณธ ์ฐ๊ตฌ์์๋ 4๊ฐ์ ๋
๋ฆฝ๋ณ์๋ก๋ถํฐ 4๊ฐ์ ๊ฐ์ค์ ์๋ฆฝํ์๋ค. E-Office Management ์์คํ
์ ์ ๊ทผํ ์ ์๋ ํ์๋์ ์ฌ๋ฒ๋ถ ์ง์ 112๋ช
์ ์กฐ์ฌ ๋ฐ์ดํฐ๋ฅผ ์์งํ์ฌ ์ฐ๊ตฌ์ ๋ค ๊ฐ์ง ๊ฐ์ค์ ํ
์คํธํ๋ค. IBM SPSS Statistics ์ํํธ์จ์ด๋ฅผ ์ฌ์ฉํ์ฌ ๋ณธ ์ฐ๊ตฌ์ ์๋ต์๋ก๋ถํฐ ์์ง๋ ๋ฐ์ดํฐ๋ฅผ ๋ถ์ํ์๋ค.
๋ณธ ์ฐ๊ตฌ๋ ์ ๋ณด ํ์ง๊ณผ ๋ณด์ ๋ฐ ๊ฐ์ธ์ ๋ณด๋ณดํธ๊ฐ E-Office Management ์์คํ
์ฌ์ฉ์์ ๋ง์กฑ๋์ ๊ธ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ์ผ๋, ์์คํ
ํ์ง๊ณผ ์๋น์ค ํ์ง์ด E-Office Management ์์คํ
์ฌ์ฉ์์ ๋ง์กฑ๋์ ๊ธ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น๋์ง๋ ํ์ธํ์ง ๋ชปํ์๋ค. ๋ํ ๋ชจ๋ ํต์ ๋ณ์๊ฐ ์ด์ฉ์ ๋ง์กฑ๋์ ๊ธ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น๋ ๊ฒ์ผ๋ก ํ์ธ๋์ง ์์๋ค. ๋ณธ ์ฐ๊ตฌ์ ๊ฒฐ๊ณผ๋ ์์ฌ๊ฒฐ์ ์๋ค์๊ฒ ์ ์์ ๋ถ ์ด์ฉ์์ ๋ง์กฑ๋์ ๊ธ์ ์ ์ธ ์ํฅ์ ๋ฏธ์น๋ ์์๋ค์ ๊ณ ๋ คํ ์ ์๋ ๋ช ๊ฐ์ง ํต์ฐฐ์ ์ ๊ณตํ๋ฉฐ, ์๋น์ค ํ์ง๊ณผ ์์คํ
ํ์ง์ด ์ ์์ ๋ถ ์ด์ฉ์์ ๋ง์กฑ๋์ ๋ฏธ์น๋ ์ํฅ์ ๋ํ ๋ ๋ง์ ์ฐ๊ตฌ๋ฅผ ์ํํ ๊ฒ์ ์๊ตฌํ๋ค.
ํค์๋: ์์คํ
ํ์ง, ์ ๋ณด ํ์ง, ์๋น์ค ํ์ง, ๋ณด์ ๋ฐ ๊ฐ์ธ ์ ๋ณด ๋ณดํธ, ์ ์ ์ ๋ถ ์ฌ์ฉ์ ๋ง์กฑ๋
ํ๋ฒ: 2021-28985CHAPTER 1. INTRODUCTION 1
1.1 Background and Research Question 1
1.2 Significance and Purpose of the research 3
1.3 Scope of the research 4
1.4 Research Methodology 6
CHAPTER 2: THEORETICAL BACKGROUND AND LITERATURE REVIEW 8
2.1 Theoretical Background 8
2.2 The Concept of E-Government and E-Government in Tanzania 12
2.2.1 Defining E-Government 12
2.2.2 E-Government Development Stages 14
2.2.3 E-government in Tanzania. 17
2.2.4 Functions of E-Government in Tanzania 21
2.2.5 Advantages of e-Government in Tanzania 23
2.2.6 Challenges of e-Government in Tanzania 24
2.2.7 E-Office Management System in Tanzania 25
2.2.8 Information System Models 28
2.2.9 Theoretical frameworks for e-Government success 32
2.3 E-Government users satisfaction 37
2.3.1 Factors Influencing E-Government Users Satisfaction 37
2.3.2 System Quality 38
2.3.3 Information Quality 38
2.3.4 Service Quality 39
2.3.5 Security and Privacy 39
2.4 Literature Review 40
2.5 Gap Analysis 45
CHAPTER 3. RESEARCH METHODOLOGY 46
3.1 Research design 46
3.2 Analytical framework 47
3.3 Research Hypotheses 48
3.3.1 System Quality and E-Office Management System Satisfaction 49
3.3.2 Information Quality and E-Office Management System Satisfaction 50
3.3.3 Service Quality and E-Office Management System Satisfaction 51
3.3.4 Security, Privacy and E-Office Management System Satisfaction 51
3.4 Conceptualization and Operationalization 53
3.4.1 E-Government Services Satisfaction 53
3.4.2 System Quality 53
3.4.3 Information Quality 54
3.4.4 Service Quality 54
3.4.5 Security and Privacy 55
3.4.6 Gender 55
3.4.7 Working Experience 56
3.4.8 Age 56
3.4.9 Level of Education 56
3.4.10 Job Position 57
3.4.11 Frequency of Using 57
3.5 Measurement and Data Sources 57
3.5.1 Survey Questionnaire 58
3.6 Sampling and Data Collection 58
3.6.1 Population of the Study 59
3.6.2 Sampling Frame 59
3.6.3 Sample to be studied 59
3.6.4 Sampling Method 60
3.6.5 Survey Instrument 60
3.6.6 Data Collection 61
3.7 Data Processing and Data Analysis 62
3.8 Reliability and Validity 62
CHAPTER 4. PRESENTATION, ANALYSIS AND DISCUSSION OF FINDINGS 63
4.1 Response Rate 63
4.2 Reliability Statistics 64
4.3. Respondents Demographic Characteristics 64
4.4 Descriptive Statistics 66
4.5 Demographic categories in comparison with Dependent and Independent Variables 68
4.5.1 Demographic categories in comparison with E-Office Management System users satisfaction 68
4.5.2 Demographic categories in comparison with System Quality 70
4.5.3 Demographic categories in comparison with Information Quality 71
4.5.4 Demographic categories in comparison with Service Quality 73
4.5.5 Demographic categories in comparison with Security and Privacy 76
4.6 Multicollinearity Analysis 78
4.7 Correlation Analysis 79
4.8 Regression Analysis 82
4.8.1 Model Summary 83
4.8.2 ANOVAa 83
4.8.3 Coefficients of multiple Regression 84
4.9 HYPOTHESES TESTING 85
4.9.1. System Quality 85
4.9.2 Information Quality 86
4.9.3 Service Quality 86
4.9.4 Security and Privacy 87
4.9.5 Summary of Findings 87
4.10 DISCUSSION OF FINDINGS 88
4.10.1 E-Office Management System users satisfaction 88
4.10.2 System Quality on e-Office Management System Users satisfaction. 89
4.10.3 Information Quality on e-Office Management System Users satisfaction. 90
4.10.4 Service Quality on e-Office Management System Users satisfaction. 91
4.10.5 Security and Privacy on e-Office Management System Users satisfaction. 91
4.10.6 Gender, age, level of education, working experience, job level (position) and frequency of use on e-Office Management System users satisfaction. 92
CHAPTER 5. CONCLUSION 94
5.1. Conclusion 94
5.2. Recommendations 98
5.3. Limitations of the Study 98์
Comparing the production of a formula with the development of L2 competence
This pilot study investigates the production of a formula with the development of L2 competence over proficiency levels of a spoken learner corpus. The results show that the formula
in beginner production data is likely being recalled holistically from learnersโ phonological
memory rather than generated online, identifiable by virtue of its fluent production in absence
of any other surface structure evidence of the formulaโs syntactic properties. As learnersโ L2
competence increases, the formula becomes sensitive to modifications which show structural
conformity at each proficiency level. The transparency between the formulaโs modification
and learnersโ corresponding L2 surface structure realisations suggest that it is the independent
development of L2 competence which integrates the formula into compositional language,
and ultimately drives the SLA process forward
Explainable temporal data mining techniques to support the prediction task in Medicine
In the last decades, the increasing amount of data available in all fields raises the necessity to discover new knowledge and explain the hidden information found. On one hand, the rapid increase of interest in, and use of, artificial intelligence (AI) in computer applications has raised a parallel concern about its ability (or lack thereof) to provide understandable, or explainable, results to users. In the biomedical informatics and computer science communities, there is considerable discussion about the `` un-explainable" nature of artificial intelligence, where often algorithms and systems leave users, and even developers, in the dark with respect to how results were obtained. Especially in the biomedical context, the necessity to explain an artificial intelligence system result is legitimate of the importance of patient safety. On the other hand, current database systems enable us to store huge quantities of data. Their analysis through data mining techniques provides the possibility to extract relevant knowledge and useful hidden information. Relationships and patterns within these data could provide new medical knowledge. The analysis of such healthcare/medical data collections could greatly help to observe the health conditions of the population and extract useful information that can be exploited in the assessment of healthcare/medical processes. Particularly, the prediction of medical events is essential for preventing disease, understanding disease mechanisms, and increasing patient quality of care. In this context, an important aspect is to verify whether the database content supports the capability of predicting future events. In this thesis, we start addressing the problem of explainability, discussing some of the most significant challenges need to be addressed with scientific and engineering rigor in a variety of biomedical domains. We analyze the ``temporal component" of explainability, focusing on detailing different perspectives such as: the use of temporal data, the temporal task, the temporal reasoning, and the dynamics of explainability in respect to the user perspective and to knowledge. Starting from this panorama, we focus our attention on two different temporal data mining techniques. The first one, based on trend abstractions, starting from the concept of Trend-Event Pattern and moving through the concept of prediction, we propose a new kind of predictive temporal patterns, namely Predictive Trend-Event Patterns (PTE-Ps). The framework aims to combine complex temporal features to extract a compact and non-redundant predictive set of patterns composed by such temporal features. The second one, based on functional dependencies, we propose a methodology for deriving a new kind of approximate temporal functional dependencies, called Approximate Predictive Functional Dependencies (APFDs), based on a three-window framework. We then discuss the concept of approximation, the data complexity of deriving an APFD, the introduction of two new error measures, and finally the quality of APFDs in terms of coverage and reliability. Exploiting these methodologies, we analyze intensive care unit data from the MIMIC dataset
Public policy: turning open data into democratic data - Portal Quality Assessment - Comparative Analysis
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceAs data, information, and their respective provisioning gets more and more ubiquitous, people start to look for - and even demand - transparency and data to support the policies in effect right now that, either directly or indirectly, affects them. There are many expectations related with Open Government Data initiatives, such as improving policymaking, increase in transparency of government spending, advance citizen engagement with the institutions, etc. This masterโs proposal aims to offer research that pertains to this theme; including an in depth look into one of the most reputed OGD maturity report (EU Open Data Maturity Report), a systematic literature review of Open Dataโs main objectives and goals, the influence on publication of scientific literature as well as the potential socio-economic and transparency impact they may have, in order to proceed to an assessment of the portal quality in Portugal by evaluating the usage of its data on scientific papers and articles; through the usage of bibliometrics and PRISMA methodology. My thesis research drills down on these topics: What are the most used Portuguese OGD portals in academic literature? What are the authors that make the most use of Portuguese OGD portals? What characterizes the authors and the publications
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