Relevant bibliographies by topics / Intellectual data analysis

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

Academic literature on the topic 'Intellectual data analysis'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Intellectual data analysis"

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Marchuk, G. V., V. L. Levkivskyy, and S. S. Kaliberda. "INTELLECTUAL ANALYSIS OF DATA." Bionics of Intelligence 1, no. 92 (2019): 65–70. http://dx.doi.org/10.30837/bi.2019.1(92).11.

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The main research of the article is the data mining methods, such as linear and polynomial regression and the support vector machine. The application success is based on the fact that the methods and technologies of Data mining ensure the study of data and the research of hidden patterns in them. The analysis assists in identification of various features and data parameters, and therefore it is a powerful tool in the stage of forming forecasting models.
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Ширинкина, Елена Викторовна. "INTELLECTUAL ANALYSIS OF EDUCATIONAL DATA." Вестник Тверского государственного университета. Серия: Экономика и управление, no. 3(55) (September 27, 2021): 179–88. http://dx.doi.org/10.26456/2219-1453/2021.3.179-188.

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Актуальность исследования обусловлена тем, что по теме в контексте интеллектуального анализа образовательных данных в настоящее время не существует конкретики относительно вопросов их использования, метрической подборки данных для построения прогнозов. Цель исследования состоит в проведении интеллектуального анализа образовательных данных в контексте отличия учебной аналитики от педагогической диагностики и других способов сбора данных. В этой связи автором рассмотрены виды учебной аналитики. Научная новизна исследования заключается в построении модели по отдельным образовательным решениям при
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Shirinkina, Elena, Nikolay Strih, and Ekaterina Popova. "Intellectual analysis of education data." E3S Web of Conferences 270 (2021): 01004. http://dx.doi.org/10.1051/e3sconf/202127001004.

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The relevance of the study is due to the fact that there are now more questions than specific answers on the topic in the context of educational data mining: how it is done, for what and how we can use it, what metrics to include in the sample and how to make predictions. Undoubtedly, in the coming years there will be a transition from discussions to the practical introduction of educational analytics into educational processes. The study analyzes these categories, and fundamentally differences educational analytics from pedagogical diagnostics and other methods of data collection. One of the
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Chernyashchuk, N., I. Koval, M. Haiduchyk, I. Kushko, and V. Kachko. "Intellectual analysis of large data stores." COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, no. 53 (December 16, 2023): 72–77. http://dx.doi.org/10.36910/6775-2524-0560-2023-53-11.

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An intelligent system for processing big data. The paper classified and considered the further development of the PHI accelerator in modern processors for computing artificial intelligence in games. Based on the approach, an intelligent system was developed that increases efficiency and speed in game projects using artificial intelligence. The practical significance of the obtained results is that the obtained results can be used to improve the efficiency of using machine learning in the development of computer games.
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Polyakov, Maxim V., Igor H. Khanin, Gennadij Ya Shevchenko, Volodymyr S. Bilozubenko, and Mykola A. Nahorianskyi. "Fundamentals of Intellectual Data Analysis Using and Its Capabilities in the Knowledge Economy." Business Inform 2, no. 565 (2025): 181–95. https://doi.org/10.32983/2222-4459-2025-2-181-195.

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In the modern economy, knowledge has become a key factor in creating value, which increases the demand for and significance of methods for its production. Given the multiple increase in the volume of data containing useful but hidden information and the emergence of digital technologies that allow for processing this data to extract the information, one of the most important methods for acquiring knowledge has become intellectual data analysis (IDA). The aim of the research is to explain the fundamentals, capabilities, and characteristics of applying IDA in the knowledge economy, as well as to
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Molodchik, Maria, Elena Shakina, and Anna Bykova. "Intellectual capital transformation evaluating model." Journal of Intellectual Capital 13, no. 4 (2012): 444–61. https://doi.org/10.1108/14691931211276089.

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Purpose The purpose of this paper is to present a framework that is developed for analysis of intellectual capital transformation into companies’ value, including an identification of the key factors of this process. Design/methodology/approach The paper employs intellectual capital on the intersection of value‐based management (VBM) and the resource‐based view (RBV). Starting from a review of the results provided in the literature regarding intellectual capital (IC) evaluation and its link with firm performance, a system of proxy indicators related to IC transformation in both concepts
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Ismayilov, I. M., and T. V. Binnataliyeva. "The intellectual analysis algorithm of aircraft flight data." Herald of the Azerbaijan Engineering Academy 13, no. 1 (2021): 7–12. http://dx.doi.org/10.52171/2076-0515_2021_13_01_07_12.

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Yusuf, Muhammad, and Mardan Mardan. "MEMAKNAI PENDIDIKAN SEBAGAI PROYEK MORAL, INTELEKTUAL, DAN SPRITUAL (ANALISIS KRITIS PENAFSIRAN Q.S. AL-MUJADILAH AYAT 11)." At-Tajdid : Jurnal Pendidikan dan Pemikiran Islam 6, no. 1 (2022): 21. http://dx.doi.org/10.24127/att.v6i1.2079.

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The education process often produces a dichotomy between moral, intellectual, and spiritual aspects, even though education can make all these aspects simultaneously and in balance. This article is an analytical study of the meaning of verse 11 of Surah al-Mujadilah regarding education that integrates moral, intellectual, and spiritual competencies. Data are tracked and collected from the interpretation of the ulama through books of tafsir, the preachers' explanations, and relevant articles. The analysis was carried out by applying the approach to the sciences of the Koran, the science of inter
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Zagoruiko, N. G. "Intellectual data analysis based on a rival similarity function." Optoelectronics, Instrumentation and Data Processing 44, no. 3 (2008): 211–17. http://dx.doi.org/10.3103/s8756699008030035.

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Ovsyanitskaya, I. I. "Intellectual Data Analysis as a Component of Education Management." Education and science journal 1, no. 10 (2015): 80. http://dx.doi.org/10.17853/1994-5639-2013-10-80-90.

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Dissertations / Theses on the topic "Intellectual data analysis"

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Stetcenko, D. O., and Y. V. Smityuh. "Intellectual Data Analyzing Using Wavele TTransformation." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47136.

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This article is about bragorectification setting as a complex object of regulation, operating under uncertainty.From the viewpoint of analysis and synthesis automatic control BRS is complex machine of consistent-parallel structure.It is proved that automatic control systems analysis and synthesis BRS of alcohol plants are multifunction objects. The analysis of existing control algorithms, discussed the advantages and disadvantages of these algorithms. Properties of automated rectification device are showed through interconnection of input options causes changes of output parameters.
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Ueda, Kimi. "A Study on Integrated Thermal Control to Improve Intellectual Work Performance." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263750.

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Schoen, Stephanie. "Individual and Cumulative Effects of a Mixture of Phthalates and Children's Intellectual Abilities: A Secondary Analysis of Data from the MIREC Study." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42674.

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Phthalates, chemicals found in a variety of consumer goods and personal care products, may adversely affect fetal neurodevelopment. Women are exposed to a mixture of phthalates during pregnancy because of the common presence of these chemicals in consumer goods. The aim of this study is to investigate potential associations between phthalate exposure during the first trimester of gestation and Intelligence Quotient (IQ) scores of 3-year old children.
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Evans, Roy F. "Industrial maintenance data collection and application developing an information strategy for an industrial site /." Access electronically, 2008. http://ro.uow.edu.au/theses/92.

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Li, Yi. "A Generalization of AUC to an Ordered Multi-Class Diagnosis and Application to Longitudinal Data Analysis on Intellectual Outcome in Pediatric Brain-Tumor Patients." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_diss/1.

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Receiver operating characteristic (ROC) curves have been widely used in evaluation of the goodness of the diagnostic method in many study fields, such as disease diagnosis in medicine. The area under the ROC curve (AUC) naturally became one of the most used variables in gauging the goodness of the diagnosis (Mossman, Somoza 1991). Since medical diagnosis often is not dichotomous, the ROC curve and AUC need to be generalized to a multi-dimensional case. The generalization of AUC to multi-class case has been studied by many researchers in the past decade. Most recently, Nakas & Yiannoutsos (2
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Assadi, Soolmaz, Ali Esmaili, and Khan Haseeb Akram. "The impact of intellectual capital on the Pharmaceutical and Food Industry company’s financial performance : By using Data Envelopment Analysis in the Tehran Stock Exchange." Thesis, Linnéuniversitetet, Institutionen för ekonomistyrning och logistik (ELO), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95698.

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Introduction: The Intellectual Capital (IC) term was introduced by Sveiby and his group in Sweden 1986 (Sullivan, 1998). The main point in all organizational analyses is to evaluate performance, and therefore an organization’s success is not imaginable without a performance evaluation system. Performance assessment is a process that measures, evaluates, and judges the performance over time. Performance assessment in organizations is usually established for assuring the effectiveness of activities. Purpose: The purpose of the research is to identify and emphasize the relationship and impact of
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Орел, Євгеній Владиславович. "Альтернативні методи прогнозування макроекономічних процесів". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/45216.

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Дипломна робота: 143., 2 табл., 78 рис., 2 додатків та 26 джерел. Прогнозування має величезне значення для розрахунку цін на електроенергію, скільки потрібно виготовити її, очікувані прибутки від бізнесу, очікуване зростання ВВП країни тощо. Зачасту використовують математичні або статистичні моделі для прогнозу на ринку, однак вони не завжди працюють в такому разі використовують альтернативні моделі для прогнозування які дають кращі результати ніж математичні. Метою даної роботи стало дослідити альтернативні моделі для прогнозу макроекономічних та фінансових процесів які викор
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Кунцев, С. В. "Интеллектуальный анализ данных с помощью MS Office Excel 2007". Thesis, Сумской государственный университет, 2008. http://essuir.sumdu.edu.ua/handle/123456789/62772.

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Табличный процессор MS Office Excel 2007 обладает набором надстроек для решения сложных математических задач. В работе рассмотрена надстройка для интеллектуального анализа данных. В ней используются аналитические средства SQL Server 2005 Analysis Services. Надстройка интеллектуального анализа данных для Office 2007 помогает выявлять закономерности и тренды, существующие в сложных данных, отображать такие закономерности в диаграммах и интерактивных средствах просмотра, а затем формировать цветные сводные отчеты для презентаций и бизнес-аналитики. Можно анализировать корреляции и формироват
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Батейко, Едуард Анатолійович. "Система для визначення важливості інформаційних впливів на формування ринкового курсу криптовалют". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/45171.

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Дипломна робота: 153., 15 табл., 60 рис., 2 дод. та 49 джерел. У роботі проведено дослідження формування криптовалютного ринку та основоположні чинники які впливають на формування. Досліджено різні методи визначення важливості чинників та моделі машинного навчання для такого роду задач. Виділено найважливіші впливи спираючись на роботу моделей машинного навчання. Метою даною роботи побудувати систему для аналізу та прогнозу криптовалютного ринку. Об’єктом дослідження стали часові ряди криптовалюти та об’ємів запитів в пошукову систему Google. Та значення інформаційних запитів
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Mohamad, Hashim Haswira Nor. "Enabling open access to and re-use of publicly funded research data in Malaysian public universities : a legal and policy analysis." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/63944/1/Haswira_Mohamad_Hashim_Thesis.pdf.

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Numerous statements and declarations have been made over recent decades in support of open access to research data. The growing recognition of the importance of open access to research data has been accompanied by calls on public research funding agencies and universities to facilitate better access to publicly funded research data so that it can be re-used and redistributed as public goods. International and inter-governmental bodies such as the ICSU/CODATA, the OECD and the European Union are strong supporters of open access to and re-use of publicly funded research data. This thesis focu
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Books on the topic "Intellectual data analysis"

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Simone, Koenig, ed. Biomacromolecular mass spectrometry research progress. Nova Science, 2008.

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Office, United States Government Accountability. Intellectual property: Better data analysis and integration could help U.S. Customs and Border Protection improve border enforcement efforts : report to the Ranking Member, Subcommittee on Oversight of Government Management, the Federal Workforce, and the District of Columbia, Committee on Homeland Security and Governmental Affairs, U.S. Senate. U.S. Govt. Accountability Office, 2007.

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United States. Government Accountability Office. Intellectual property: Better data analysis and integration could help U.S. Customs and Border Protection improve border enforcement efforts : report to the Ranking Member, Subcommittee on Oversight of Government Management, the Federal Workforce, and the District of Columbia, Committee on Homeland Security and Governmental Affairs, U.S. Senate. U.S. Govt. Accountability Office, 2007.

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United States. Government Accountability Office. Intellectual property: Better data analysis and integration could help U.S. Customs and Border Protection improve border enforcement efforts : report to the Ranking Member, Subcommittee on Oversight of Government Management, the Federal Workforce, and the District of Columbia, Committee on Homeland Security and Governmental Affairs, U.S. Senate. U.S. Govt. Accountability Office, 2007.

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United States. Government Accountability Office. Intellectual property: Better data analysis and integration could help U.S. Customs and Border Protection improve border enforcement efforts : report to the Ranking Member, Subcommittee on Oversight of Government Management, the Federal Workforce, and the District of Columbia, Committee on Homeland Security and Governmental Affairs, U.S. Senate. U.S. Govt. Accountability Office, 2007.

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Kel'chevskaya, Natal'ya, Irina Pelymskaya, and Il'ya Chernenko. Knowledge economy and digital transformation of business. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1891230.

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The textbook examines the social and economic aspects of the formation of the knowledge economy in the modern period and the development of new methods and approaches in the management of knowledge and intellectual capital of organizations in the context of digitalization. The article analyzes the evolution of approaches to organization management due to the development of intellectual capital of companies and states, the formation of a knowledge-based economy, technological development of cyber-physical systems and new methods of data analysis.
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Ostrowska, Dorota, and Tamara L. Falicov. Shaping Film Festivals in a Changing World. Amsterdam University Press, 2025. https://doi.org/10.5117/9789463725576.

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This volume is a collective attempt on the part of a community of academics, film festival curators, and archivists to come to terms with practical and intellectual challenges of the pandemic and post-pandemic realities affecting cultures of film festivals. The collection draws contours of critical inquiry orienting current film festival research and practice to explore new directions in archiving and decolonizing practices and big data analysis in the post-Covid-19 context and beyond. The four-part study gathers the voices of academics and practitioners who engage in a dialogue to articulate
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Popov, Vladimir. Russia's future: transition into a new formation. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1067103.

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The monograph is devoted to the urgent needs of Russia's transition to a new convergent information formation. Analyzes the crisis of modern capitalism and liberalism, the experience of countries that have implemented the connection of the achievements of the market economy with social justice principles inherent in socialism. From the position of unity of classical, nonclassical and postnonclassical methodology, based on statistical and sociological and psychological data reveals the problems of the breakthrough of the country to innovative development. To this end, Russia has the necessary r
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Favaro, Alice. Después de la caída del ‘ángel’. Edizioni Ca' Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-416-5.

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Ángel Bonomini was born in Buenos Aires in 1929 where he lived until his death at the age of sixty-four in 1994. He worked for various newspapers and magazines as an art critic and translator, but always maintaining his literary activity. He inherited the tradition of the Argentine fantastic and was a prolific writer: his production includes essays, poems and fantastic tales.Although he lived in a period of great cultural splendor and his literary talent was recognised by authors such as Borges and Bioy Casares, he fell into an unexplained oblivion, disappearing quite early from the contempora
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Jaworski, Barbara, Josef Rebenda, Reinhard Hochmuth, et al. Inquiry in University Mathematics Teaching and Learning. Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.m210-9983-2021.

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The book presents developmental outcomes from an EU Erasmus+ project involving eight partner universities in seven countries in Europe. Its focus is the development of mathematics teaching and learning at university level to enhance the learning of mathematics by university students. Its theoretical focus is inquiry-based teaching and learning. It bases all activity on a three-layer model of inquiry: (1) Inquiry in mathematics and in the learning of mathematics in lecture, tutorial, seminar or workshop, involving students and teachers; (2) Inquiry in mathematics teaching involving teachers exp
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Book chapters on the topic "Intellectual data analysis"

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Kharchuk, Viktoriya, and Ihor Oleksiv. "The Intellectual Structure of Sustainable Leadership Studies: Bibliometric Analysis." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24475-9_37.

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Turbal, Yurii, Andrii Bomba, Mariana Turbal, Bogdan Turbal, and Denys Smirnov. "Forecasting Algorithm Based on Intellectual Analysis of Polynomial Extrapolation." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88483-2_5.

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Pachura, Piotr, Tomasz Nitkiewicz, Kvetoslava Matlovičová, and René Matlovič. "Identification of Intellectual Capital Performance Using Data Envelopment Analysis." In Knowledge Spillovers in Regional Innovation Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67029-4_4.

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Lazarotto, Barbara. "Unlocking Data Sharing Dilemmas: A Comparative Analysis of Business-To-Government Data Sharing Regulations." In MPI Studies on Intellectual Property and Competition Law. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91401-0_9.

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Zgurovsky, Michael Z., and Yuriy P. Zaychenko. "Intellectual Analysis of Systemic World Conflicts and Global Forecast for the 21st Century." In Studies in Big Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14298-8_4.

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Pustovoit, Pavlo, and Olga Kupenko. "Intellectual Data Analysis and Machine Learning Approaches for Car Insurance Rates Reconstruction." In System Analysis and Artificial Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37450-0_12.

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Korobiichuk, Igor, Yaroslav Smityuh, Vasil Kishenko, et al. "Identification of Technological Objects on the Basis of Intellectual Data Analysis." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29993-4_60.

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Gontar, Anastasia A., Nicolay I. Lomakin, Anna S. Gorbacheva, Tatyana A. Chekrygina, and Elena V. Tokareva. "Methods of Data Intellectual Analysis in Assessment of Economic Security Level." In Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13397-9_53.

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Voroshilov, Aleksandr, Alla Krivonogova, Polina Buyvol, Irina Makarova, and Aleksey Boyko. "Intellectual Analysis of Data on Defective Vehicle Units Using Association Rules." In Lecture Notes in Networks and Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96196-1_4.

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Ueda, Kimi, Shota Shimonaka, Kosuke Sugita, et al. "Analysis of Answering Time Data for Cognitive Task to Investigate Intellectual Concentration." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20441-9_20.

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Conference papers on the topic "Intellectual data analysis"

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Likhachev, Maxim. "Development of Methods of Intellectual Analysis of Audio Data." In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2024. https://doi.org/10.1109/summa64428.2024.10803699.

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Y, Alwin Fredrick, Asha Sundaram, and Frederick Ruby Helen. "Analyzing Social Media Data Misuse and Intellectual Property Rights: A Dual Legal-Empirical Analysis Approach in the Digital Landscape." In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2025. https://doi.org/10.1109/icmcsi64620.2025.10883512.

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Sampath, Amrutha, Kristofor Dickson, George W. Lange, Carey Wu, and Keith A. Serrels. "Evaluation of the Analyzability of Complex Secure Intellectual Property Using Fault Isolation Techniques versus the Hardware Security Threat They Pose." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0385.

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Abstract Secure edge devices and the need for hardware security are of paramount importance due to the growing demand for cybersecurity. Hardware security has been strengthened using complex architecture to provide uncompromisable security and prevent malicious cybersecurity attacks. To prevent unauthorized access using even the most advanced failure analysis (FA) techniques, the Hardware Security Module (HSM) implements cryptographic algorithms and data obfuscation using many raw combinational logic and state machines. When a newly taped-out device fails to operate or fails to come out of its
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Komarov, Valeriy A., and Semen A. Piyavskiy. "Intellectual data analysis in aircraft design." In International Conference Information Technology and Nanotechnology 2016. Samara State Aerospace University, Image Processing Systems Institute, Russian Academy of Sciences, 2016. http://dx.doi.org/10.18287/1613-0073-2016-1638-873-881.

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Kotova, E. E. "Intellectual data analysis in the educational process." In 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM). IEEE, 2017. http://dx.doi.org/10.1109/scm.2017.7970714.

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Oda, Kyle, and Narges Norouzi. "EEG Data Analysis for Intellectual Developmental Disorder." In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2021. http://dx.doi.org/10.1109/bibm52615.2021.9669489.

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Feng, Siling, Zhi Yang, Mengxing Huang, and Yuanyuan Wu. "Big Data Analysis of Intellectual Property Service Agencies." In 2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). IEEE, 2021. http://dx.doi.org/10.1109/prai53619.2021.9551058.

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Feng, Siling, Zhi Yang, Mengxing Huang, and Yuanyuan Wu. "Big Data Analysis of Intellectual Property Service Agencies." In 2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI). IEEE, 2021. http://dx.doi.org/10.1109/prai53619.2021.9551058.

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"Using Tools of Intellectual Analysis In Area Safety Management." In The 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications. CEUR-WS.org, 2021. http://dx.doi.org/10.47813/sibdata-2-2021-12.

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Zakharov, Alexander, Artur Romazanov, Andrey Shirokikh, and Irina Zakharova. "Intellectual Data Analysis System of Building Temperature Mode Monitoring." In 2019 International Russian Automation Conference. IEEE, 2019. http://dx.doi.org/10.1109/rusautocon.2019.8867611.

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Reports on the topic "Intellectual data analysis"

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Minero Alejandre, Gemma. Ownership of Databases: Personal Data Protection and Intellectual Property Rights on Databases. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64578.

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When we think on initiatives on access to and reuse of data, we must consider both the European Intellectual Property Law and the General Data Protection Regulation (GDPR). The first one provides a special intellectual property (IP) right – the sui generis right – for those makers that made a substantial investment when creating the database, whether it contains personal or non-personal data. That substantial investment can be made by just one person, but, in many cases, it is the result of the activities of many people and/or some undertakings processing and aggregating data. In the modern di
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Belgin, Onder. R&D Performance Trends in Turkiye. Asian Productivity Organization, 2025. https://doi.org/10.61145/mxzu9882.

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This study examines Turkiye’s R&D performance trends, focusing on key indicators like personnel, expenditures, tax incentives, and intellectual property. By analyzing official data, it evaluates the efficiency of Turkiye’s R&D system using input/output analysis, highlighting its role in fostering innovation and competitiveness. The findings offer insights into the effectiveness of national policies in supporting strategic R&D initiatives
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Lawson, Adrienn, and Stephen Hendrick. Japan Spotlight 2023: Open Source Trends, Challenges, and Opportunities in Japan. The Linux Foundation, 2023. https://doi.org/10.70828/labk5873.

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In 2023, Linux Foundation Research launched a project with the aim of examining regional similarities and differences in open source use and contribution. After completing our European and worldwide analyses, this third analysis takes a look at trends in the Japanese market. This report gleans its insight from the 2023 World of Open Source survey data we collected from Japanese respondents, analyzing the region’s specific trends in open source adoption, use, and contributions. It finds that open source is widely used in Japan and that the majority of respondents believe that the benefits outwe
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Fedorenko, Elena H., Vladyslav Ye Velychko, Svitlana O. Omelchenko, and Vladimir I. Zaselskiy. Learning free software using cloud services. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3886.

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The article deals with the use of cloud technology services in the study of free software. Free software is a social phenomenon based on the philosophy of freedom and the right to intellectual creative activity. To date, a significant number of software products have been created that are licensed under free software and not used in educational activities. The conducted research revealed the factors promoting and hindering the use of free software in educational activities. Conducted questionnaires, analysis of open data, research of scientists made it possible to conclude on the expediency of
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Koehler, Thomas, Lisa Sperling, Leonie Backhaus, et al. Open School Doors User Needs Analysis Report : Developing diverse school / parents’ communities through innovative partnerships. Technische Universität Dresden, CODIP, 2018. http://dx.doi.org/10.25368/2024.3.

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This report presents the first intellectual output (IO1) of the Open School Doors project. IO1 has been jointly produced by the whole project consortium. It summarizes the national policies and initiatives among the partnership concerning the parental engagement / involvement of migrant / refugee parents toward school life. To this end literature resources have been collected and then analysed, with the following aims: a) Profile the target group per country, i.e. outline what is the main audience, its specific cultural characteristics (if any), what has to be taken into consideration for the
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Hernández Orellana, Marisol. Educating for the Future: Why Universities Must Lead the Way in Ethical and Digital Competence. Carver University; Universidad Autónoma de Chile, 2025. https://doi.org/10.32457/hernandez2202597.

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As artificial intelligence (AI) reshapes our world, higher education faces a pivotal decision: will it merely adopt these technologies or will it actively guide their integration in ways that preserve human judgment, ethics, and intellectual autonomy? This opinion article argues that universities must take a leadership role—not only to safeguard their institutional identity but also to contribute to a society populated by digitally competent, ethically grounded professionals. Recent studies show that AI tools like ChatGPT and Wolfram Alpha are increasingly used by students to automate complex
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Jones, Emily, Beatriz Kira, Anna Sands, and Danilo B. Garrido Alves. The UK and Digital Trade: Which way forward? Blavatnik School of Government, 2021. http://dx.doi.org/10.35489/bsg-wp-2021/038.

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The internet and digital technologies are upending global trade. Industries and supply chains are being transformed, and the movement of data across borders is now central to the operation of the global economy. Provisions in trade agreements address many aspects of the digital economy – from cross-border data flows, to the protection of citizens’ personal data, and the regulation of the internet and new technologies like artificial intelligence and algorithmic decision-making. The UK government has identified digital trade as a priority in its Global Britain strategy and one of the main sourc
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Kwek, Dennis Beng Kiat, Isabelle Khoo, and Siti Hawa Jonid. Redesigning the Singapore Coding Scheme 2 for Social Studies and Science. National Institute of Education, Nanyang Technological University, Singapore, 2022. https://doi.org/10.32658/10497/29670.

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This Start-Up Grant (SUG) application aims to develop and redesign of the Singapore Coding Scheme 2 (SCS2) for Science. This project builds towards the Core 3 Panel 3 Research Program (Core 3) that seeks to record, measure and analyse the intellectual quality of knowledge work in Singapore classrooms. Building on the Core 1 and Core 2 research programs, Core 3 focuses on the relationships between instruction, pedagogy, assessment and student learning. The broad key objectives for Core 3 are: (a) to continue to develop the model of the logic of teaching and learning in Singapore classrooms expa
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Adams, Jonathan, Gaurav Agnihotri, David Pendlebury, and Ed White. Research impact in society and the economy: The digital health revolution in medical care. Clarivate, 2024. http://dx.doi.org/10.14322/isi.grr.research.impact.in.society.

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This Global Research Report from the Institute for Scientific Information (ISI) examines the transformative impact of digital health on society and the global economy. Leveraging insights from our collaboration with Times Higher Education at the Digital Health 2024 event at Stanford University, the report integrates research and patent data to highlight the societal benefits of digital health innovations. Key findings include a 70-fold increase in digital health publications since 2013, with AI and advanced analytics driving innovation. The report identifies leading contributors to digital hea
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