Relevant bibliographies by topics / Descriptive analytics

Contents

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

Academic literature on the topic 'Descriptive analytics'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Descriptive analytics"

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Miranda, Ma Grace P. "ENROLLMENT SYSTEM WITH DESCRIPTIVE ANALYTICS." International Journal of Advanced Research in Computer Science 10, no. 2 (2019): 53–56. http://dx.doi.org/10.26483/ijarcs.v10i2.6383.

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Houtmeyers, Kobe C., Arne Jaspers, and Pedro Figueiredo. "Managing the Training Process in Elite Sports: From Descriptive to Prescriptive Data Analytics." International Journal of Sports Physiology and Performance 16, no. 11 (2021): 1719–23. http://dx.doi.org/10.1123/ijspp.2020-0958.

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Elite sport practitioners increasingly use data to support training process decisions related to athletes’ health and performance. A careful application of data analytics is essential to gain valuable insights and recommendations that can guide decision making. In business organizations, data analytics are developed based on conceptual data analytics frameworks. The translation of such a framework to elite sport may benefit the use of data to support training process decisions. Purpose: The authors aim to present and discuss a conceptual data analytics framework, based on a taxonomy used in bu
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Sateesh Reddy, Chagam, and Ashlin Nimo J.R. "Analyzing the Impact of Analytics on Organizational Performance." International Journal of All Research Education and Scientific Methods 12, no. 03 (2023): 3383–90. http://dx.doi.org/10.56025/ijaresm.2023.1201243383.

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In this study, we explore the interplay between predictive, descriptive, and prescriptive analytics, mediated by decisionmaking processes, and their influence on organizational performance. Our research employs a non-probabilistic sampling method, specifically the snowball sampling technique, with a sample size of 120.The independent variables considered encompass descriptive analytics, prescriptive analytics, and predictive analytics which collectively serve as the analytical backbone shaping decision-making within organizations. Decision-making, in turn, acts as a mediating variable, channel
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Sachin, Kumar, Prasad K. Krishna, and S. Aithal P. "Banking and Financial Analytics – An Emerging Big Opportunity Based on Online Big Data." International Journal of Case Studies in Business, IT, and Education (IJCSBE) 4, no. 2 (2021): 293–309. https://doi.org/10.5281/zenodo.4451571.

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Business analytics refers to the skills, technology, methods of continuous iterative discovery, and study of past business results. In the banking industry, business analytics can be utilized to the extent that basic banking reporting can be improved with the help of descriptive analytics, predictive analytics, and prescriptive analytics utilizing significant technical developments and the use of big data currently available. The application of business analytics to banking and finance, for both organizations and professionals, is crucial, profitable, and extremely rewarding. Using advanced ma
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Soliman, Karim, Afroze Nazneen, Adina Ambreen, Rasheedul Haque, and Vikramjeet Jeet. "Business analytics as a driver of organizational performance: Evidence from the pharmaceutical industry." International Journal of Innovative Research and Scientific Studies 8, no. 2 (2025): 3857–71. https://doi.org/10.53894/ijirss.v8i2.6114.

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This study investigates the role of business analytics in enhancing organizational performance within the pharmaceutical industry. Business analytics, encompassing data collection, analytical tools, technology, human resources, strategic alignment, performance measurement, and compliance, is crucial for driving informed decision-making and strategic planning. A quantitative approach was employed, surveying 162 professionals across various managerial levels in pharmaceutical companies. A structured questionnaire assessed the impact of business analytics on organizational performance, focusing o
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Husamaldin, Laden, and Nagham Saeed. "Big Data Analytics Correlation Taxonomy." Information 11, no. 1 (2019): 17. http://dx.doi.org/10.3390/info11010017.

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Big data analytics (BDA) is an increasingly popular research area for both organisations and academia due to its usefulness in facilitating human understanding and communication. In the literature, researchers have focused on classifying big data according to data type, data security or level of difficulty, and many research papers reveal that there is a lack of information on evidence of a real-world link of big data analytics methods and its associated techniques. Thus, many organisations are still struggling to realise the actual value of big data analytic methods and its associated techniq
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Alghamdi, A., T. Alsubait, A. Baz, and H. Alhakami. "Healthcare Analytics: A Comprehensive Review." Engineering, Technology & Applied Science Research 11, no. 1 (2021): 6650–55. https://doi.org/10.48084/etasr.3965.

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Big data have attracted significant attention in recent years, as their hidden potentials that can improve human life, especially when applied in healthcare. Big data is a reasonable collection of useful information allowing new breakthroughs or understandings. This paper reviews the use and effectiveness of data analytics in healthcare, examining secondary data sources such as books, journals, and other reputable publications between 2000 and 2020, utilizing a very strict strategy in keywords. Large scale data have been proven of great importance in healthcare, and therefore there is a need f
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Marzouk, Mohamed, and Mohamed Enaba. "Analyzing project data in BIM with descriptive analytics to improve project performance." Built Environment Project and Asset Management 9, no. 4 (2019): 476–88. http://dx.doi.org/10.1108/bepam-04-2018-0069.

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Purpose The purpose of this paper is to expand the benefits of building information modeling (BIM) to include data analytics to analyze construction project performance. BIM is a great tool which improves communication and information flow between construction project parties. This research aims to integrate different types of data within the BIM environment, then, to perform descriptive data analytics. Data analytics helps in identifying hidden patterns and detecting relationships between different attributes in the database. Design/methodology/approach This research is considered to be an in
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Sivakumar, K. "AI for Business Transformation: on the Target Customers Group and Market." ComFin Research 13, S1-i1-Mar (2025): 220–23. https://doi.org/10.34293/commerce.v13is1-i1-mar.8683.

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Today’s trade or business development requires the implementation of various types of analytical methods, including artificial intelligence, i.e. landscape analytics, complexityanalytics, descriptive analytics, predictive analytics, and prescriptive analytics, support consumer services and business market development.Retaining consumers among competing companies;Eliminating fraud and risk; Handling market intelligence;Sense technology in business, applying AI for marketing.The role of artificial intelligence in insurance and financial institutions is becoming essential. Artificial intelligence
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Bhati, Rakhi. "Optimizing Business Performance through Human Resource Analytics." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49806.

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Executive Summary This research explores the transformative potential of Human Resource (HR) analytics in driving organizational success. HR analytics has emerged as a critical tool that shifts decision-making from intuition-based practices to data-driven strategies. Through a comprehensive analysis, the study highlights the adoption of a three-stage maturity model—descriptive, predictive, and prescriptive analytics—demonstrating how organizations evolve in their use of HR data. Key components of the research include a detailed literature review showcasing insights from global thought leaders,
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Dissertations / Theses on the topic "Descriptive analytics"

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Miani, Matteo <1997&gt. "HR Analytics driving business outcomes: A descriptive and predictive Case of Analysis." Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/20925.

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As the importance of digital technologies in Human Resources, which have always been at the very core of the organization’s success, has increased, so has research on tools, processes, and theories for doing this more effectively. In particular, this master thesis will examine the use of data analytics in the field of human resource development, though its rise in popularity is accompanied by skepticism about the ability of HR professionals to effectively utilize data analytics to reap organizational benefits and to align HR function to the core business goals. Hence, overall, the main focus o
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Bohle, Alexander, and Liam Johnson. "Supply Chain Analytics implications for designing Supply Chain Networks : Linking Descriptive Analytics to operational Supply Chain Analytics applications to derive strategic Supply Chain Network Decisions." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Centre of Logistics and Supply Chain Management (CeLS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44120.

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Today’s dynamic and increasingly competitive market had expanded complexities for global businesses pressuring companies to start leveraging on Big Data solutions in order to sustain the global competitions by becoming more data-driven in managing their supply chains.The main purpose of this study is twofold, 1) to explore the implications of applying analytics designing supply chain networks, 2) to investigate the link between operational and strategic management levels when making strategic decisions using Analytics.Qualitative methods have been applied for this study to gain a greater under
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MOSAICO, GABRIELE. "Simulation, forecasting, and control in power system analytics: methodological aspects and applications." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1082325.

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Climate change driven by fossil fuels consumption demands a quick energy transition to a carbon-neutral society. One of the most affected systems by this paradigm shift is, without a doubt, the electric power system. Once designed with few, typically high pollutant production nodes on the transmission side, production is also located in the distribution side, with a very high number of DERs, primarily renewable. This change, however, comes with a cost: many, intermittent small resources are hard to manage. They cannot always guarantee the meeting of demand, creating difficulties to the reli
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Dedge, Parks Dana M. "Defining Data Science and Data Scientist." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/7014.

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The world’s data sets are growing exponentially every day due to the large number of devices generating data residue across the multitude of global data centers. What to do with the massive data stores, how to manage them and defining who are performing these tasks has not been adequately defined and agreed upon by academics and practitioners. Data science is a cross disciplinary, amalgam of skills, techniques and tools which allow business organizations to identify trends and build assumptions which lead to key decisions. It is in an evolutionary state as new technologies with capabilities ar
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ATTANASIO, ANTONIO. "Mining Heterogeneous Urban Data at Multiple Granularity Layers." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2709888.

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The recent development of urban areas and of the new advanced services supported by digital technologies has generated big challenges for people and city administrators, like air pollution, high energy consumption, traffic congestion, management of public events. Moreover, understanding the perception of citizens about the provided services and other relevant topics can help devising targeted actions in the management. With the large diffusion of sensing technologies and user devices, the capability to generate data of public interest within the urban area has rapidly grown. For instance, diff
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Umbers, André, and Elias Rahimi. "Dataanalys & tre lönsamhetsstrategier för ökad lönsamhet inom svenskae-handelsföretag." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447491.

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Bakgrund: E-handeln har på senare år genomgått radikala förändringar och dataanalys kan stå för 10 % av tillväxten hos 56 % av alla e-handelsföretag. Dataanalys erbjuder många fördelar och internationella företag hävdar att 30% av deras försäljning beror på dataanalys. Det finns tre olika lönsamhetsstrategier för att svenska e-handelsföretag ska öka lönsamheten. Dessa är (i) minska kostnader, (ii) öka omsättning, (iii) minska tillgångar och totalt kapital. Studien visar att 35 % av alla svenska e-handelsföretag har inte tillgång till relevanta data och det finns en oro för att dessa företag ko
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Solomon, Lulit. "The descriptive and analytical epidemiology of nine cancers." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620450.

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Le, Sueur Chris. "Generalised effective descriptive set theory and determinacy just beyond co-analytic." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685544.

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Walker, William Lindsey. "Descriptive and Analytical Epidemiology of Morbidity and Mortality on Calf Ranches." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354216604.

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Al-Dobaian, Saad A. "The book industry in Saudi Arabia : a descriptive and analytical study." Thesis, Loughborough University, 1985. https://dspace.lboro.ac.uk/2134/7126.

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Books on the topic "Descriptive analytics"

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Baesens, Bart, Véronique Van Vlasselaer, and Wouter Verbeke. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119146841.

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Trainers, Minnesota AACR 2., ed. A manual of AACR 2 examples for "in" analytics: With MARC tagging and coding. Published for the Minnesota AACR 2 Trainers by Soldier Creek Press, 1985.

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1922-, Cameron John L., and McGhie Andrew, eds. Studies on psychosis: Descriptive, psycho-analytic, and psychological aspects. Routledge, 2001.

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Sal'kov, Nikolay. Descriptive geometry: Designing surfaces. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1196545.

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In the textbook, in addition to the geometric design of surfaces, the elements of analytical and parametric geometries are proposed that contribute to the design and bring the result to a higher level of knowledge, as well as a frame method for designing surfaces.&#x0D; Meets the requirements of the federal state educational standards of higher education of the latest generation.&#x0D; For students of the specialties "Architect" and " Designer of the architectural environment "(qualifications "bachelor", "specialist", "master"). It may be useful for students of other fields of study.
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Anders, Lönn, and Kjellberg Erik, eds. Analytica: Studies in the description and analysis of music. S. Academiae Ubsaliensis, 1985.

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Hussein, Nashaat Hassan. The sub-culture of hashish users in Egypt: A descriptive analytic study. American University in Cairo Press, 1990.

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Patil, Vasant C. Snehana therapy in Āyurveda: A descriptive & analytical review on internal oleation. Chaukhambha Publications, 2008.

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Center, Langley Research, ed. Analytical description of the breakup of liquid jets in air. National Aeronautics and Space Administration, Langley Research Center, 1993.

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Singh, Jag Deva. Pāṇini, his description of Sanskrit: An analytical study of Aṣṭadhyāyī. Munshiram Manoharlal Publishers, 1991.

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Rahmani, Ashraf. The legal system concerning book publishing in Iran: A descriptive and analytical study. Golden Maple Publications, 2017.

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Book chapters on the topic "Descriptive analytics"

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Miranda-Saavedra, Diego. "Descriptive Analytics." In How to Think about Data Science. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/b23197-2.

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Bayyurt, Nizamettin, and Sefer Baday. "Descriptive Analytics." In Springer Series in Advanced Manufacturing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93823-9_2.

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Buglear, John, and Elaine Chen. "Descriptive analytics." In Stats Means Business, 4th ed. Routledge, 2025. https://doi.org/10.4324/9781003472025-11.

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Tolulope, Afolabi Ibukun. "Descriptive Analytics Tools." In Data Science and Analytics for SMEs. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8670-8_5.

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Tolulope, Afolabi Ibukun. "Advanced Descriptive Analytics." In Data Science and Analytics for SMEs. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8670-8_8.

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Taillard, Michael. "Descriptive Statistics." In Analytics and Modern Warfare. Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137407870_2.

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Starbuck, Craig. "Descriptive Statistics." In The Fundamentals of People Analytics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28674-2_7.

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Sarka, Dejan. "Descriptive Statistics." In Advanced Analytics with Transact-SQL. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7173-5_1.

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Badiru, Adedeji B. "Descriptive Statistics for Data Presentation." In Data Analytics. CRC Press, 2020. http://dx.doi.org/10.1201/9781003083146-6.

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Sharma, Ashish K., Durgesh M. Sharma, Neha Purohit, Saroja Kumar Rout, and Sangita A. Sharma. "Analytics Techniques: Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics." In Decision Intelligence Analytics and the Implementation of Strategic Business Management. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82763-2_1.

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Conference papers on the topic "Descriptive analytics"

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Geetha, V., and N. Sujatha. "An Overview of Descriptive Analytics and Data Visualization." In 2024 5th International Conference on Smart Electronics and Communication (ICOSEC). IEEE, 2024. http://dx.doi.org/10.1109/icosec61587.2024.10722273.

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Bhatnagar, Jay R., Ravi Prakash Iyer, and Jiya Sharma. "Learning Less is More: Short-term Descriptive Analytics of Intra-Day Stock." In 2025 International Conference on Data Science and Business Systems (ICDSBS). IEEE, 2025. https://doi.org/10.1109/icdsbs63635.2025.11031892.

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Mihyar, Zaineh, and Bassam Kasasbeh. "Behavioral and Physiological Insights into Substance Use via Feature Selection and Descriptive Analytics." In 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA). IEEE, 2025. https://doi.org/10.1109/icciaa65327.2025.11012987.

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Rasaily, Deepak, and Maitreyee Dutta. "Expression of Concern for: Comparative theory on image inpainting: A descriptive review." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds42120.2017.10702654.

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Kaur, Harkiran, and Aanchal Phutela. "Commentary upon descriptive data analytics." In 2018 2nd International Conference on Inventive Systems and Control (ICISC). IEEE, 2018. http://dx.doi.org/10.1109/icisc.2018.8398884.

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Schryver, Jack, Mallikarjun Shankar, and Songhua Xu. "Moving from descriptive to causal analytics." In the 2012 international workshop. ACM Press, 2012. http://dx.doi.org/10.1145/2389707.2389709.

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Madhumithaa, S., S. Mannish, and J. Jean Justus. "Descriptive and Predictive Analytics of Groundwater." In 2021 4th International Conference on Computing and Communications Technologies (ICCCT). IEEE, 2021. http://dx.doi.org/10.1109/iccct53315.2021.9711907.

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Hlavac, Julius, and Juraj Stefanovic. "Machine Learning and Business Intelligence or from Descriptive Analytics to Predictive Analytics." In 2020 Cybernetics & Informatics (K&I). IEEE, 2020. http://dx.doi.org/10.1109/ki48306.2020.9039874.

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Phutela, Aanchal, and Harkiran Kaur. "Applying Descriptive and Predictive Analytics on Academic Dataset." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9008952.

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Abbasi, Ahmed, Weifeng Li, Victor Benjamin, Shiyu Hu, and Hsinchun Chen. "Descriptive Analytics: Examining Expert Hackers in Web Forums." In 2014 IEEE Joint Intelligence and Security Informatics Conference (JISIC). IEEE, 2014. http://dx.doi.org/10.1109/jisic.2014.18.

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Reports on the topic "Descriptive analytics"

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Gruber, Peter. Using ChatGPT for Advanced Data Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/pmgm4wmm7ffer469.

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This workshop teaches researchers, from PhD students to professors, how to use ChatGPT and its Advanced Data Analytics tool for statistical analysis without writing a line of code or even knowing how to use a statistics program. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests and visualisation. Special emphasis is placed on understanding the workings and limits of AI models such as ChatGPT and reflecting on its implications for data analysis.
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Gruber, Peter H. Using ChatGPT for Advanced Data Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/zqir2dzchct5b469.

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This 2-day workshop teaches researchers, from PhD students to professors, how to use ChatGPT and its Advanced Data Analytics tool for statistical analysis without writing a line of code or even knowing how to use a statistics program. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests and visualisation. Special emphasis is placed on understanding the workings and limits of AI models such as ChatGPT and reflecting on its implications for data analysis.
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Hong, Jooyoo. An analytic description of thick-wall bubbles. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10165957.

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Hong, Jooyoo. An analytic description of thick-wall bubbles. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7049255.

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BIZIKOEVA, L. S., and M. I. BALIKOEVA. SOMERSET MAUGHAM - MASTER OF CREATING CHARACTERS. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2077-1770-2021-13-4-2-111-121.

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Purpose. The goal of the present article is to study various means of creating a literary character. Analyzing the creative work of a famous English writer William Somerset Maugham and basing on the story «The Kite» an attempt is made to scrutinize Maugham’s peculiar style and lexico-stylistic devices he employs to create the main female characters of the story «The Kite». The main methods used in the research are: the method of contextual analysis and the descriptive-analytical method. Results. The results of the research revealed that the peculiar characteristic of the protagonists of the st
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Amatuni, A. Ts. Approximate analytical description of the underdense short plasma lens. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/272522.

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Liebetrau, A. M., M. J. Apted, D. W. Engel, et al. The Analytical Repository Source-Term (AREST) model: Description and documentation. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/5903581.

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Weaver, L. NSSS [Nuclear Steam Supply System] analytical instrumentation subsystem design description. Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/714029.

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Djondjorov, Peter, Vassil Vassilev, and Mariana Hadzhilazova. Analytic Description of the Viscous Fingering Interface in a Hele-Shaw Cell. GIQ, 2012. http://dx.doi.org/10.7546/giq-13-2012-107-113.

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KOKURINA, OLGA YU. General characteristics, forms and cultural-historical models of development of the Russian state: analytical material. SIB-Expertise, 2023. http://dx.doi.org/10.12731/er0761.20122023.

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