Relevant bibliographies by topics / Data Timeliness

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data Timeliness'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Data Timeliness"

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Safitri, Julia, Suhartini Suhartini, and Suhendri Suhendri. "The Role of Good Corporate Governance in The Timeliness of Financial Report Presentation." JBTI : Jurnal Bisnis : Teori dan Implementasi 14, no. 2 (2023): 364–82. http://dx.doi.org/10.18196/jbti.v14i2.19889.

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The first study's goal was to determine whether profitability, leverage, firm size, institutional ownership, and independent commissioners have an impact on financial reporting timeliness. The second goal was to see if the auditor class might mitigate the influence of profitability, leverage, company size, institutional ownership, and independent commissioners on financial reporting timeliness for energy businesses listed on the Indonesia Stock Exchange between 2017 and 2021. The data analysis method used logit regression for panel data analysis. According to the findings, profitability and in
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Tang, Jun, Bing Guo, Yan Shen, Cheng Dai, and Yuming Jiang. "Data Timeliness Evaluation Based on Attribute Value Dependencies." Journal of Internet Technology 26, no. 2 (2025): 173–82. https://doi.org/10.70003/160792642025032602003.

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Data timeliness, a critical determinant of data quality, can distort data analysis outcomes and lead decision-makers astray when utilizing outdated data for mining. Current methodologies for exploring data timeliness encompass the recovery of temporal data sequences and the determination of timeliness relying on factors such as timestamps and uncertain data relationships. Timestamp-centric techniques are constrained by their dependence on precise temporal values. In contrast, methods grounded in uncertain relationships among data entities excel in managing multiple tuples of same entity. Howev
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Steim, J. M., and R. D. Reimiller. "Timeliness of Data Delivery from Q330 Systems." Seismological Research Letters 85, no. 4 (2014): 844–51. http://dx.doi.org/10.1785/0220120170.

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Dailey, L., R. E. Watkins, and A. J. Plant. "Timeliness of Data Sources Used for Influenza Surveillance." Journal of the American Medical Informatics Association 14, no. 5 (2007): 626–31. http://dx.doi.org/10.1197/jamia.m2328.

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Han, Qi, and Nalini Venkatasubramanian. "Timeliness-Accuracy Balanced Collection of Dynamic Context Data." IEEE Transactions on Parallel and Distributed Systems 18, no. 2 (2007): 158–71. http://dx.doi.org/10.1109/tpds.2007.31.

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Liu, Zehua, Xuefeng Ding, Jun Tang, Yuming Jiang, and Dasha Hu. "Anomaly Monitoring of Process Based on Recurrent Timeliness Rules (AMP-RTR)." Applied Sciences 12, no. 24 (2022): 12917. http://dx.doi.org/10.3390/app122412917.

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At present, many manufacturing enterprises have business systems such as MES, SPC, etc. In the manufacturing process, a large amount of data with periodic time series will be generated. How to evaluate the timeliness of periodically generated data according to a large number of time series is important content in the field of data quality research. At the same time, it can solve the demand of abnormal monitoring of production process faced by manufacturing enterprises based on the regularity change for periodic data timeliness. Most of the existing data timeliness evaluation models are based o
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Nurhasanah, Nurhasanah, Husaini Husaini, and Nur Ilmi Febriani. "Determine Timeliness Submission of Financial Statements of Manufacturing Companies in Indonesia Stock Exchange." E-Mabis: Jurnal Ekonomi Manajemen dan Bisnis 22, no. 2 (2021): 1–12. http://dx.doi.org/10.29103/e-mabis.v22i2.683.

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This study aims to analyze the effect of Firm Age, Profitability andLeverage on the timeliness of submitting financial reports in manufacturingcompanies on the Indonesia Stock Exchange. The populations aremanufacturing companies that have gone public listed on the Indonesia StockExchange (IDX) during the 2019-2020, which are 182 companies. Obtainedsampling used purposive sampling method. Based on this method the sampleobtained is 138 companies. The data were analyzed using panel dataregression with the help of the E-views analysis tool. Based on the results ofdata analysis that has been carrie
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Lestari, Melati Pramudita, Desty Wana, and Susan Andriana. "Timeliness of Financial Reporting." Journal of Applied Accounting and Taxation 9, no. 2 (2024): 205–15. https://doi.org/10.30871/jaat.v9i2.7409.

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Timely financial reporting is a widespread challenge, affecting numerous publicly traded companies in Indonesia. An examination of data from the Indonesia Stock Exchange (IDX) website, spanning the years 2010 to 2020, reveals that many companies submitted their financial reports past the deadline. The number of late submissions fluctuated over this period, with a noticeable decrease in 2010-2012 and 2016, followed by significant increases in 2013-2015 and 2018-2020. The year 2020 saw the highest number of late filers (96 companies), followed by 2015 (63 companies). This research delves into th
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Auliyah, Iriana. "ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KETEPATAN WAKTU PELAPORAN KEUANGAN PADA PERUSAHAAN MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA." Economos : Jurnal Ekonomi dan Bisnis 3, no. 2 (2020): 77–87. http://dx.doi.org/10.31850/economos.v3i2.708.

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This study aims to determine the effect of profitability, ownership structure, leverage, company size and company size on the timeliness of financial reporting. The data used in this study are secondary data, namely data on return of assets, ownership structure, debt to equity ratio, company size, and company age with a period of 5 years (2015-2019), the data were analyzed and processed by multiple linear regression method. The results of this study indicate that profitability has a positive and significant effect on timeliness of financial reporting; ownership structure has a positive but not
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Oussii, Ahmed Atef, and Neila Boulila Taktak. "Audit report timeliness." EuroMed Journal of Business 13, no. 1 (2018): 60–74. http://dx.doi.org/10.1108/emjb-10-2016-0026.

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Purpose The purpose of this paper is to examine whether coordination between external auditors and the internal audit function affect the timeliness of audit reports as proxied by audit delay. Design/methodology/approach This study uses a survey of chief internal auditors from Tunisian listed companies to analyze the extent of coordination between IAFs and external auditors. Data spanning a four year period (2011-2014) was collected for 53 listed companies. Further, regression analysis was used to test the hypothesis. Findings Results indicate that greater coordination between internal and ext
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Dissertations / Theses on the topic "Data Timeliness"

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Olupot-Olupot, Peter. "Evaluation of Antiretroviral Therapy Information System In Mbale Regional Referral Hospital, Uganda." Thesis, University of the Western Cape, 2008. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7320_1272589584.

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<p>HIV/AIDS is the largest and most serious global epidemic in the recent times. To date, the epidemic has affected approximately 40 million people (range 33 &ndash<br>46 million) of whom 67%, that is, an estimated 27 million people are in the Sub Saharan Africa. The Sub Saharan Africa is also reported to have the highest regional prevalence of 7.2% compared to an average of 2% in other regions. A medical cure for HIV/AIDS remains elusive but use of antiretroviral therapy (ART) has resulted in improvement of quality and quantity of life as evidenced by the reduction of mortality and morbidity
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hu, xiaoxiang. "Analysis of Time-related Properties in Real-time Data Aggregation Design." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39046.

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Data aggregation is extensively used in data management systems nowadays. Based on a data aggregation taxonomy named DAGGTAX, we propose an analytic process to evaluate the run-time platform and time-related parameters of Data Aggregation Processes (DAP) in a real-time system design, which can help designers to eliminate infeasible design decisions at early stage. The process for data aggregation design and analysis mainly includes the following outlined steps. Firstly, the user needs to specify the variation of the platform and DAP by figuring out the features of the system and time-related p
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RULA, ANISA. "Time-related quality dimensions in linked data." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/81717.

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Over the last few years, there has been an increasing di↵usion of Linked Data as a standard way to publish interlinked structured data on the Web, which allows users, and public and private organizations to fully exploit a large amount of data from several domains that were not available in the past. Although gathering and publishing such massive amount of structured data is certainly a step in the right direction, quality still poses a significant obstacle to the uptake of data consumption applications at large-scale. A crucial aspect of quality regards the dynamic nature of Linked Data where
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Fahey, Rebecca Lee. "Evaluation of the System Attributes of Timeliness and Completeness of the West Virginia Electronic Disease Surveillance System' NationalEDSS Based System." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1341.

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Despite technological advances in public health informatics, the evaluation of infectious disease surveillance systems data remains incomplete. In this study, a thorough evaluation was performed of the West Virginia Electronic Disease Surveillance System (WVEDSS, 2007-2010) and the West Virginia Electronic Disease Surveillance System NationalEDSS -Based System (WVEDSS-NBS; March 2012 - March 2014) for Category II infectious diseases in West Virginia. The purpose was to identify key areas in the surveillance system process from disease diagnosis to disease prevention that need improvement. Grou
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Nilsson, Robert. "Automated Selective Test Case Generation Methods for Real-Time Systems." Thesis, University of Skövde, Department of Computer Science, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-487.

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<p>This work aims to investigate the state of the art in test case generation for real-time systems, to analyze existing methods, and to propose future research directions in this area. We believe that a combination of design for testability, automation, and sensible test case selection is the key for verifying modern real-time systems. Existing methods for system-level test case generation for real-time systems are presented, classified, and evaluated against a real-time system model. Significant for real-time systems is that timeliness is crucial for their correctness. Our system model of th
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Barcellos, Leonardo Portugal. "Timeliness no Brasil: um estudo dos determinantes do prazo de divulgação das demonstrações contábeis das companhias não financeiras listadas na BM&FBOVESPA." Universidade do Estado do Rio de Janeiro, 2013. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4764.

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Esta dissertação tem o propósito principal de fornecer evidências empíricas acerca dos fatores que influenciam as decisões dos gestores quanto ao prazo de divulgação das demonstrações contábeis anuais das companhias não financeiras listadas na BM&FBOVESPA. O prazo de divulgação, chamado defasagem, foi medido como o intervalo em dias entre o encerramento do exercício social e a data da primeira apresentação das Demonstrações Financeiras Padronizadas (DFPs). O foco da pesquisa foi a influência, sobre a defasagem, dos seguintes fatores não observáveis: monitoramento, complexidade contábil, govern
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Lee, Amra. "Why do some civilian lives matter more than others? Exploring how the quality, timeliness and consistency of data on civilian harm affects the conduct of hostilities for civilians caught in conflict." Thesis, Uppsala universitet, Institutionen för freds- och konfliktforskning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387653.

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Normatively, protecting civilians from the conduct of hostilities is grounded in the Geneva Conventions and the UN Security Council protection of civilian agenda, both of which celebrate their 70 and 20 year anniversaries in 2019. Previous research focusses heavily on protection of civilians through peacekeeping whereas this research focuses on ‘non-armed’ approaches to enhancing civilian protection in conflict. Prior research and experience reveals a high level of missingness and variation in the level of available data on civilian harm in conflict. Where civilian harm is considered in the pe
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Bashir, Imran. "Visualizing Complex Data Using Timeline." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-17958.

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This thesis  introduces the idea of visualizing complex data using timeline for problem solving and analyzing a huge database. The database contains information about vehicles, which are continuously sending information about driving behavior, current location, driver ativities etc. Data complexity can be resolved by data visualization where user can see this complex data in the abstract form of timeline visualization. visualize complex data by using timeline mgiht help to monitor and track diffrent time dependent activities. We developed web application to monitor and track monthly, weekly, a
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Kräutli, Florian. "Visualising cultural data : exploring digital collections through timeline visualisations." Thesis, Royal College of Art, 2016. http://researchonline.rca.ac.uk/1774/.

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This thesis explores the ability of data visualisation to enable knowl-edge discovery in digital collections. Its emphasis lies on time-based visualisations, such as timelines. Although timelines are among the earliest examples of graphical renderings of data, they are often used merely as devices for linear storytelling and not as tools for visual analysis. Investigating this type of visualisation reveals the particular challenges of digital timelines for scholarly research. In addition, the intersection between the key issues of time-wise visualisation and digital collections acts as a focal
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Erande, Abhijit. "Automatic detection of significant features and event timeline construction from temporally tagged data." Kansas State University, 2009. http://hdl.handle.net/2097/1675.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>The goal of my project is to summarize large volumes of data and help users to visualize how events have unfolded over time. I address the problem of extracting overview terms from a time-tagged corpus of data and discuss some previous work conducted in this area. I use a statistical approach to automatically extract key terms, form groupings of related terms, and display the resultant groups on a timeline. I use a static corpus composed of news stories, as opposed to an on-line setting where continual a
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Books on the topic "Data Timeliness"

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Allum, Peter. Economic data dissemination: What influences country performance on frequency and timeliness? International Monetary Fund, Middle Eastern Department, 2001.

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Office, General Accounting. Tax administration: Accessibility, timeliness, and accuracy of IRS' telephone assistance program : report to congressional requesters. The Office, 1989.

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Office, General Accounting. Law enforcement: Information on timeliness of criminal fingerprint submissions to the FBI : report to the Ranking Minority Member, Committee on Appropriations, U.S. Senate. U.S. General Accounting Office, 2004.

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Computer Management Corporation of the South., ed. The genealogy timeline. Computer Management Corp. of the South, 1999.

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Ryan, T. C. I. Policy timeline and time series data for Kenya: An analytical data compendium. Kenya Institute of Public Policy Research and Analysis, 2002.

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Koivunen-Niemi, Laura. Learn to Create a Timeline in R With Data From the Global Shark Attack File (2020). SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529771701.

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Wensheng, Peng, Xiong Duwen, Ernst Ekkehard, Zhu Huilin, and Zhou Zipeng. How and when will AI impact the economy. ILO, 2025. https://doi.org/10.54394/iwyt7917.

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This brief contributes to the current literature on AI exposure of jobs by considering cost curves of AI execution to estimate the timeline of AI adoption in China until 2050 using industry reports and sectoral employment and wage data from the National Bureau of Statistics of China.
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Wait Times for Veterans Scheduling Health Care Appointments: Challenges with Available Data on the Timeliness and Quality of VA Community Care. RAND Corporation, 2022. http://dx.doi.org/10.7249/cta2291-1.

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(Editor), Beverly Cory, and Karina Cory (Editor), eds. Timelines and Rhythm Patterns: Representing Time (Investigations in Number, Data, and Space). Dale Seymour Publications, 1996.

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Timelines and Rhythm Patterns, Student Activity Booklet (Investigation in Number, Data, and Space). Dale Seymour Pub., 1998.

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Book chapters on the topic "Data Timeliness"

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Liu, Zehua, Xuefeng Ding, Yuming Jiang, and Dasha Hu. "A Method for Identifying the Timeliness of Manufacturing Data Based on Weighted Timeliness Graph." In Advanced Data Mining and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46661-8_5.

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Dolev, Danny, and H. Raymond Strong. "On safety and timeliness in distributed data management (preliminary report)." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-50403-6_32.

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Rampazzo, Francesco, Marzia Rango, and Ingmar Weber. "New Migration Data: Challenges and Opportunities." In Handbook of Computational Social Science for Policy. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16624-2_18.

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AbstractMigration is hard to measure due to the complexity of the phenomenon and the limitations of traditional data sources. The Digital Revolution has brought opportunities in terms of new data and new methodologies for migration research. Social scientists have started to leverage data from multiple digital data sources, which have huge potential given their timeliness and wide geographic availability. Novel digital data might help in estimating migrant stocks and flows, infer intentions to migrate, and investigate the integration and cultural assimilation of migrants. Moreover, innovative
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Lázaro, Oscar, Jesús Alonso, Roxana-Maria Holom, et al. "Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle." In Technologies and Applications for Big Data Value. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_18.

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AbstractWith the rising complexity of modern products and a trend from single products to Systems of Systems (SoS) where the produced system consists of multiple subsystems and the integration of multiple domains is a mandatory step, new approaches for development are demanded. This chapter explores how Model-Based Systems Engineering (MBSE) can benefit from big data technologies to implement smarter engineering processes. The chapter presents the Boost 4.0 Testbed that demonstrates how digital twin continuity and digital thread can be realized from service engineering, production, product per
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Chen, Xinghan, Yiping Zhang, and Yu Ye. "Assisting Refined Urban Management: Building an Evaluation Framework of Data Mapping Rate Towards Digital Twin City Platform." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_44.

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Abstract In recent years, digital twin city platforms often encounter issues such as emphasizing the physical model’s accuracy over social cognition and specialized applications over a comprehensive data system, hindering the fulfilment of refined urban management’s real needs. Therefore, it is essential to define the characteristics of an urban management-oriented digital twin platform and construct a detailed evaluation mechanism. This study examines the framework for evaluating mapping rates, introducing three indicators: data resolution, data freshness, and data relevance. We developed a q
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Consoli, Sergio, Peter Markov, Nikolaos I. Stilianakis, Lorenzo Bertolini, Antonio Puertas Gallardo, and Mario Ceresa. "Epidemic Information Extraction for Event-Based Surveillance Using Large Language Models." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4581-4_17.

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AbstractThis paper presents a novel approach to epidemic surveillance, leveraging the power of artificial intelligence and large language models (LLMs) for effective interpretation of unstructured big data sources like the popular ProMED and WHO Disease Outbreak News. We explore several LLMs, evaluating their capabilities in extracting valuable epidemic information. We further enhance the capabilities of the LLMs using in-context learning and test the performance of an ensemble model incorporating multiple open-source LLMs. The findings indicate that LLMs can significantly enhance the accuracy
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Kashkevich, Svitlana, Oleksiy Buyalo, Olha Matsyi, Anastasiia Voznytsia, Daniil Krant, and Kostiantin Radchenko. "Scientific and methodological apparatus for processing diverse data in automated control systems." In DECISION SUPPORT SYSTEMS: MATHEMATICAL SUPPORT. TECHNOLOGY CENTER PC, 2025. https://doi.org/10.15587/978-617-8360-13-9.ch4.

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This section of the study proposes the conceptual foundations for the use of artificial intelligence in intelligent decision support systems. In the course of the research, the authors:– justified the feasibility of using artificial intelligence theory for processing heterogeneous data in automated control systems;– developed a methodology for data distribution in automated control systems;– designed a model for evaluating the process of heterogeneous data processing in automated troop control systems using expert information;– improved the methodology for configuring an information system to
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Shknai, Oleh, Oleg Sova, Olena Nechyporuk, Oleksii Nalapko, Oleksiy Buyalo, and Anna Lyashenko. "A set of methods for enhancing the efficiency of information processing in intelligent decision support systems." In DECISION SUPPORT SYSTEMS: MATHEMATICAL SUPPORT. TECHNOLOGY CENTER PC, 2025. https://doi.org/10.15587/978-617-8360-13-9.ch3.

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This section of the study proposes a set of methods to enhance the efficiency of information processing in intelligent decision support systems. The authors suggest the following methods:– a method for managing information flows in intelligent decision support systems using a population-based algorithm;– a method for evaluating the timeliness of processing diverse data types in decision support systems;– a method for assessment and forecasting in intelligent decision support systems. The novelty of the proposed methods lies in:– determining the initial population of agents and their starting p
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Oxtoby, Neil P. "Data-Driven Disease Progression Modeling." In Machine Learning for Brain Disorders. Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_17.

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AbstractIntense debate in the neurology community before 2010 culminated in hypothetical models of Alzheimer’s disease progression: a pathophysiological cascade of biomarkers, each dynamic for only a segment of the full disease timeline. Inspired by this, data-driven disease progression modeling emerged from the computer science community with the aim to reconstruct neurodegenerative disease timelines using data from large cohorts of patients, healthy controls, and prodromal/at-risk individuals. This chapter describes selected highlights from the field, with a focus on utility for understandin
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Mehta, Balwant Singh, Ravi Srivastava, and Siddharth Dhote. "Introduction." In India Studies in Business and Economics. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2544-4_1.

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Abstract This introductory chapter discusses two major global challenges: poverty and inequality, with a special focus on unfair inequality linked to justice and equal access to opportunities. It draws on Roemer’s concept of inequality of opportunity (IOp), which refers to differences in people’s outcomes caused by circumstances beyond their control. Measuring poverty and IOp is difficult, especially in countries like India, due to limited and outdated data. To overcome this, the chapter highlights the use of innovative machine learning methods that combine traditional, non-traditional, and ge
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Conference papers on the topic "Data Timeliness"

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Alexander, Rex, and Cliff Johnson. "Vertical Flight Infrastructure Data Quality Shortcomings." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1270.

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This paper represents an assessment of how vertical flight infrastructure data is accounted for, the criteria and standards used to accomplish this, what shortcomings may exist in both the data as well as the process, and what changes need to be implemented in preparing for the next generation of vertical flight transportation. The primary focus of this paper will be to review the regulations, criteria, standards, and processes that apply to aviation infrastructure data Collection, Accuracy, Resolution, Integrity, Traceability, Timeliness, Completeness, and Format and to what extent it is succ
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Torres, Sebastián. "Signal Processing Innovations at the National Severe Storms Laboratory: Improving the Quality and Timeliness of Data from Operational and Next-Generation Weather Radars." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640502.

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Mao, Qiang, Adam Dabrowski, Fusheng Wei, et al. "Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal Investigations." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10826063.

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Zhong, Jing, and Roy D. Yates. "Timeliness in Lossless Block Coding." In 2016 Data Compression Conference (DCC). IEEE, 2016. http://dx.doi.org/10.1109/dcc.2016.113.

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Maria de Juana Gamo, Jose. "Modeling Timeliness for EPS-SG Mission Data." In SpaceOps 2012. American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1293851.

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Zhang, Bei. "Modeling Optimization Study of Two-Dose Vaccine Distribution Considering Timeliness." In International Conference on Public Management and Big Data Analysis. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0012071700003624.

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Wolkin, Amy, and Royal Law. "37 Applying data science to improve timeliness of injury data analysis and visualization." In 14th World Conference on Injury Prevention and Safety Promotion (Safety 2022) abstracts. BMJ Publishing Group Ltd, 2022. http://dx.doi.org/10.1136/injuryprev-2022-safety2022.13.

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Kou, Xifeng, Xuliang Duan, Xuchen Zhao, and Yincheng Han. "Data Repair Method based on Timeliness and Conditional Function Dependency Rules." In ICCPR '19: 2019 8th International Conference on Computing and Pattern Recognition. ACM, 2019. http://dx.doi.org/10.1145/3373509.3373563.

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Zhao, Yi, Ke Xu, Feng Yan, Yuchao Zhang, Yao Fu, and Haiyang Wang. "Auction-based High Timeliness Data Pricing under Mobile and Wireless Networks." In ICC 2020 - 2020 IEEE International Conference on Communications (ICC). IEEE, 2020. http://dx.doi.org/10.1109/icc40277.2020.9149197.

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Pan, Chenxi, and Shuyu Li. "A task allocation algorithm for Coverage-Aware Crowdsensing with Data timeliness." In CSSE 2022: 2022 5th International Conference on Computer Science and Software Engineering. ACM, 2022. http://dx.doi.org/10.1145/3569966.3570083.

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Reports on the topic "Data Timeliness"

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Jha, Deepika, Manish Dubey, and Sejal Singla. The State of Real Estate Regulation in India 2023. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/tsreri11.2023.

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The RERA Act received widespread acclaim for its objectives to regulate a sizable and mostly unregulated sector marked by significant consumer investment and grievances. Seven years after the RERA Act, this report draws on data available in the public domain from 18 RERAs and their websites to take stock of the progress made in relation to the remit of RERA activity, the extent and timeliness of project disclosures, arrangements for grievance redress and institutional functioning of real estate regulatory authorities.
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Ndoye, Aissatou, Mansour Dia, and Khadim Dia. Africa Agriculture Watch Forecasts Brief Series. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.105.

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The crop production forecast brief series by AKADEMIYA2063’s Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvest and yields for nine major crops across nearly 50 African countries. The timeliness, wide availability, and easy access to this type of data will allow stakeholders across the value chain to better plan and execute policy and business actions more efficiently. The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI-based) model applied to remotely sensed geo-biophysical data t
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Ndoye, Aissatou, Mansour Dia, and Khadim Dia. Africa Agriculture Watch Forecasts Brief Series. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.106.

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The crop production forecast brief series by AKADEMIYA2063’s Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvest and yields for nine major crops across nearly 50 African countries. The timeliness, wide availability, and easy access to this type of data will allow stakeholders across the value chain to better plan and execute policy and business actions more efficiently. The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI-based) model applied to remotely sensed geo-biophysical data t
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Ndoye, Aissatou, Mansour Dia, and Khadim Dia. Africa Agriculture Watch Forecasts Brief Series. AKADEMIYA2063, 2023. http://dx.doi.org/10.54067/acpf.104.

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Abstract:
The crop production forecast brief series by AKADEMIYA2063’s Africa Agriculture Watch (AAgWa) aims to provide more accurate and timely data on harvest and yields for nine major crops across nearly 50 African countries. The timeliness, wide availability, and easy access to this type of data will allow stakeholders across the value chain to better plan and execute policy and business actions more efficiently. The data published in the briefs are generated through the Africa Crop Production (AfCP) model, an Artificial Intelligence (AI-based) model applied to remotely sensed geo-biophysical data t
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List, Markus, Quirin Manz, Judith Bernett, et al. D2.1 Whitepaper on the platform knowledge base and data standards for in silico drug repurposing. REPO4EU, 2024. https://doi.org/10.58647/repo4eu.202400d2.1.

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Computational drug repurposing integrates data from diverse sources, such as sequence databases, GWAS studies, or high-throughput screens. Depending on the original use case or field of research, they vary in availability, timeliness, and compatibility with other data sources. Further, numerous computational tools have been introduced designed to identify active disease modules, indications, or drug-target interactions that use different methods and strategies while not adhering to standard guidelines. Clearing and harmonising the resulting inconsistencies consume essential resources such that
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Albert, Jose Ramon, and Jana Flor Vizmanos. Philippine Statistical System in the Wake of the Emerging Data Revolution and Digitization. Philippine Institute for Development Studies, 2019. https://doi.org/10.62986/dp2019.17.

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The Philippine Statistical System (PSS), the government-wide system of providing statistical information and services, consists of the Philippine Statistics Authority (PSA) and other data producers in the public sector across all administrative levels; the Philippine Statistical Research and Training Institute (PSRTI), the research and training arm of the PSS; and the PSA Board (a policymaking body on statistical matters). Data producers release official statistics, i.e. data aggregates, sourced from primary data collections, and compilations of secondary data. In the wake of the many disrupti
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Perfit, Janine, Mariko Russell, and Jorge E. Muñoz-Ayala. Improving the Quality of Statistics in Belize. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0009236.

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In modern public management the use of statistics for decision making is essential. Evidence-based policy, as well as results-based public management, cannot operate effectively without reliable and timely data. Likewise, without more specialized, quality statistics, the achievement of development objectives cannot be appropriately monitored, or the effectiveness of development plans evaluated. In the specific context of Belize, the importance of a well-functioning statistical system is essential to the process of economic and social development of the country. Yet, according to the evidence c
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Kerber, Steve, and Derek Alkonis. Lahaina Fire Comprehensive Timeline Report. UL Research Institutes, 2024. http://dx.doi.org/10.54206/102376/vqkq5427.

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On August 8-9, 2023, the town of Lahaina, Hawaiʻi (on the island of Maui), endured a devastating fire fueled by environmental conditions, leading to 101 fatalities, widespread destruction, and devastating community impacts. The Fire Safety Research Institute (FSRI) conducted an extensive data collection effort to establish a comprehensive timeline and fact base around the Lahaina fires. This Lahaina Fire Comprehensive Timeline Report (Phase 1) report focuses on the events that occurred prior to, during, and immediately following the Lahaina fire, such as preparedness efforts, weather and its i
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deBoer, Richard J., and Paraskevi Dimitriou. International Nuclear Data Evaluation Network (INDEN) on the Evaluation of Light Elements (2). IAEA Nuclear Data Section, 2019. http://dx.doi.org/10.61092/iaea.acf3-gjj4.

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A Consultants’ meeting on the Evaluation of Light Elements within the International Nuclear Data Evaluation Network (INDEN) was held at the IAEA headquarters in Vienna from 30 to 31 August 2018. The goal of the meeting was to review the existing evaluations for light elements 9Be, 14,15N, 16O and 23Na, to identify areas for improvements in the evaluations, and to define the timeline to provide improved evaluations.
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deBoer, Richard J., and Paraskevi Dimitriou. International Nuclear Data Evaluation Network (INDEN) Meeting on the Evaluation of Light Elements. IAEA Nuclear Data Section, 2018. http://dx.doi.org/10.61092/iaea.0zgf-6yg6.

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A Consultants’ meeting on the Evaluation of Light Elements within the International Nuclear Data Evaluation Network (INDEN) was held at the IAEA headquarters in Vienna from 30 to 31 August 2018. The goal of the meeting was to review the existing evaluations for light elements 9Be, 14,15N, 16O and 23Na, to identify areas for improvements in the evaluations, and to define the timeline to provide improved evaluations.
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