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Journal articles on the topic 'Consumer profiling – data processing'

Author: Grafiati

Published: 26 July 2024

Last updated: 31 July 2025

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1

Quinelato, Pietra Daneluzzi. "Consumer manipulation through behavioral advertising." Brazilian Journal of Law, Technology and Innovation 2, no. 1 (2024): 1–24. http://dx.doi.org/10.59224/bjlti.v2i1.1-24.

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In the contemporary era marked by technological advancements and pervasive use of social media, there has been a notable surge in the collection and subsequent processing of personal data, transforming them into economic assets exploited by corporations. This phenomenon gives rise to a "surveillance society" or "mental capitalism," prominently characterized by the customization of advertisements based on users' consumption profiles and behaviors. Despite its focus on personalized advertising, this practice frequently employs persuasive techniques that possess the potential to influence consume

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J. Wulf, Alexander, and Ognyan Seizov. "Artificial Intelligence and Transparency: A Blueprint for Improving the Regulation of AI Applications in the EU." European Business Law Review 31, Issue 4 (2020): 611–40. http://dx.doi.org/10.54648/eulr2020024.

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The adoption of Artificial Intelligence is steadily increasing, but the underlying algorithms have become so complex that they are no longer transparent. The EU has introduced some modest AI transparency requirements as part of its General Data Protection Regulation. However, two years after their introduction, the effectiveness of these rules remains questionable. Our aim is to contribute towards the further development of a governance framework for AI. We begin by explaining how the algorithms that enable the speed and data processing power of AI also obscure its transparency. We review how

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Panagiotou, Malamatenia, Efstathios Kaloudis, Danai Ioanna Koukoumaki, et al. "Key Drivers of Consumption, Conceptual, Sensory, and Emotional Profiling of Cheeses Based on Origin and Consumer Familiarity: A Case Study of Local and Imported Cheeses in Greece." Gastronomy 2, no. 4 (2024): 141–54. http://dx.doi.org/10.3390/gastronomy2040011.

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The origin of a product, consumer familiarity, and purchasing identity are factors that affect the perception of cheese consumption. The present study aims at identifying consumers’ conceptualizations and attitudes towards local Greek cheeses of the North-Aegean Sea islands, such as Ladotyri, Graviera, Kasseri, Kaskavali, Melichloro, and Kalathaki, some of which have a Protected Designation of Origin (PDO) status, as opposed to cheeses of non-Greek origin, such as Cheddar, Regatto, and Gouda. Sensory and emotional attributes of local, local PDO, and imported cheeses, as well as drivers associa

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Munzil, Fontian, and Nadisah Zakaria. "Indonesian Omnichannel Banking: How Far Do Governing Laws Protect Customer's Data Privacy." Jurnal Hukum dan Peradilan 12, no. 1 (2023): 29. http://dx.doi.org/10.25216/jhp.12.1.2023.29-56.

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In the digital transformation era, banks have been working to implement a digital strategy that will lead to lower costs, better service, higher profitability, and the desired level of customer satisfaction. Utilising marketing technology for consumer engagement is essential to bringing in more customers without increasing costs. Omnichannel is the marketing strategy that offers more services to customers by having them interact with it across all available physical and digital channels at any time, resulting in higher customer satisfaction and loyalty. Customer data is significant information

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Fowler, S. M., J. M. Hoban, G. Melville, D. W. Pethick, S. Morris, and D. L. Hopkins. "Maintaining the appeal of Australian lamb to the modern consumer." Animal Production Science 58, no. 8 (2018): 1392. http://dx.doi.org/10.1071/an17773.

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Aligning the production of lamb cuts with consumer preferences is an ongoing challenge for the Australian lamb supply chain. In recent decades, genetic and on-farm management practices have improved, while the demographics of consumers and their consumption patterns have changed. This has resulted in larger traditional lamb cuts, which have less appeal to modern consumers. Therefore, research has been conducted to determine the potential to fabricate new value-added lamb cuts from heavier carcasses, determine consumer preferences for lamb roasts, investigate the impact of increasing carcass we

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Karima Velasquez, David Perez Abreu, Pedro Neves, et al. "Cognitive customer profiling at the edge: Challenges and research directions." ITU Journal on Future and Evolving Technologies 5, no. 3 (2024): 356–67. http://dx.doi.org/10.52953/wurt4309.

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The proliferation of automated services and applications has generated large amounts of data that must be handled with artificial intelligence and machine learning techniques, impacting businesses in different fields. Cognitive customer profiling services allow a better user experience enabling the tailoring of the customer experience to specific consumer patterns and preferences. Cognitive customer profiling services require heavy processing power in order to get accurate results from the artificial intelligence/machine learning models, which has led to services taking advantage of the cloud-

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Wójcik, Szymon, Filip Ciepiela, Bogusław Baś, and Małgorzata Jakubowska. "ASTOSOWANIE METOD CHEMOMETRYCZNYCH DO WOLTAMPEROMETRYCZNEGO PROFILOWANIA ŻYWNOŚCI." Wiadomości Chemiczne 79, no. 1 (2025): 39–58. https://doi.org/10.53584/wiadchem.2025.1.3.

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The development of society and the rise in consumer awareness generate the need for rapid and precise analysis of food products to ensure their high quality. Consumers are increasingly paying attention to the origin, composition, and production processes of food. Heightened competition among producers and rising production costs lead to serious challenges, such as food product adulteration to lower prices and maximize profits. This study presents results of analysis of a wide range of food products, including wines, whiskies, apple juices, honey, isotonic drinks, and plant-based milks. The res

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Dahunsi, Folasade M., Abayomi E. Olawumi, Daniel T. Ale, and Oluwafemi A. Sarumi. "A systematic review of data pre-processing methods and unsupervised mining methods used in profiling smart meter data." AIMS Electronics and Electrical Engineering 5, no. 4 (2021): 284–314. http://dx.doi.org/10.3934/electreng.2021015.

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<abstract> <p>The evolution of smart meters has led to the generation of high-resolution time-series data - a stream of data capable of unveiling valuable knowledge from consumption behaviours for different applications. The ability to extract hidden knowledge from such massive amounts of data requires that it be analysed intelligently. Hence, for a clear representation of the various consumption behaviours of consumers, a good number of data mining technologies are usually employed. This paper presents a systematic review of the various data mining techniques and methodologies emp

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Baggerly, Keith A., Kevin R. Coombes, and Jeffrey S. Morris. "Bias, Randomization, and Ovarian Proteomic Data: A Reply to “Producers and Consumers”." Cancer Informatics 1 (January 2005): 117693510500100. http://dx.doi.org/10.1177/117693510500100101.

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Proteomic patterns derived from mass spectrometry have recently been put forth as potential biomarkers for the early diagnosis of cancer. This approach has generated much excitement, particularly as initial results reported on SELDI profiling of serum suggested that near perfect sensitivity and specificity could be achieved in diagnosing ovarian cancer. However, more recent reports have suggested that much of the observed structure could be due to the presence of experimental bias. A rebuttal to the findings of bias, subtitled “Producers and Consumers”, lists several objections. In this paper,

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Olawumi, A. E., and F. M. Dahunsi. "Load profiling of commercial and residential building using clustering technique." Nigerian Journal of Technology 42, no. 2 (2023): 257–63. http://dx.doi.org/10.4314/njt.v42i2.14.

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Data mining is a promising tool used in processing energy data collected from energy consumers. The knowledge derived from energy data is very pertinent in the formulation of various demand-side management programs. This paper uses clustering techniques to segment the energy consumption patterns of residential and commercial buildings; situated at different geographical locations. The two (2) commonly used clustering techniques: K-Means and Agglomerative Hierarchical Clustering, were employed. The result indicates that the choice of clustering technique for load profiling is highly subjective

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Mamanazarov, Sardor. "Legal Protection of Personal Data in Big Data Analysis: Threats and General Rules." Uzbek Journal of Law and Digital Policy 3, no. 1 (2025): 182–92. https://doi.org/10.59022/ujldp.299.

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This article provides a comprehensive analysis of the pressing issues related to personal data protection in the context of Big Data. The distinctive features of four types of data within the Big Data framework provided, observed, derived, and inferred dataalong with their protection mechanisms and security requirements are examined in detail. The principles of data protection, particularly the principles of fairness and transparency, and the necessity of implementing them in national legislation are substantiated from both theoretical and practical perspectives. The concept of threats to the

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Wang, Yuqi. "Bank Marketing Prediction Based on XGBoost." Advances in Economics, Management and Political Sciences 193, no. 1 (2025): 14–23. https://doi.org/10.54254/2754-1169/2025.lh24150.

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Under the dual challenges of fintech evolution and digital transformation, commercial banks face increasing limitations in traditional marketing prediction methods, which struggle with static customer profiling, low data utilization, and poor adaptability to real-time demands. This study addresses these gaps by proposing an XGBoost-based predictive framework to enhance precision marketing and risk-adjusted returns in banking scenarios. We integrate multidimensional features, including static attributes (e.g., age, occupation) and dynamic behavioral indicators (e.g., consumer confidence index,

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Hussain, Mashitah Mohd, Zuhaina Zakaria, Nofri Yenita Dahlan, et al. "Short term forecasting of electrical consumption using a neural network: joint approximate diagonal eigenvalue." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (2022): 56. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp56-66.

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This article aims <span lang="EN-US">to estimate the load profiling of electricity that provides information on the electrical load demand. In achieving this research implemented the neural network algorithm of joint approximate diagonalisation of eigen-matrices (JADE) to describe the load profile pattern for each point. Nowadays, utility providers claim that natural sources are used to generate power by rising consumer demands for energy. However, occasionally utility workers need to know the demand at certain location, corresponding to maintenance issues or for any shutdown area involv

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Ispiryan, Audronė, Jonas Viškelis, Pranas Viškelis, Dalia Urbonavičienė, and Lina Raudonė. "Biochemical and Antioxidant Profiling of Raspberry Plant Parts for Sustainable Processing." Plants 12, no. 13 (2023): 2424. http://dx.doi.org/10.3390/plants12132424.

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The optimization of innovation and food technological processes not only increases the profits of companies but also allows them to achieve the set goals of the green trajectory. This research aimed to collect data on the biochemical composition of different parts of the raspberry variety ‘Polka’, including the various morphological parts, to present the importance of differentiating plant parts in food processing, and to show the potential of usage for primary processing in different fields of the food industry. Fruits, stems (cane), leaves, flowers, seeds, and roots were evaluated according

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Sai, Kiran Reddy Malikireddy, Algubelli Bipinkumarreddy, and Tadanki Snigdha. "Knowledge Graph-Driven Real-Time Data Engineering for Context-Aware Machine Learning Pipelines." European Journal of Advances in Engineering and Technology 8, no. 5 (2021): 65–76. https://doi.org/10.5281/zenodo.14600600.

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The novel context-aware machine learning is based on state-of-the-art real-time data engineering processes that operate in shifting entity correlations. To this end, this paper presents a new architecture that combines knowledge graph construction with real-time stream processing to underpin the machine learning flow in a context-aware manner. The proposed system uses graph neural networks (GNNs) for updates and embeddings in real-time for dynamic integration of contextual information into the other machine learning models. This makes the approach ideal as changes in the relations of entities

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Botto, Jean-Marie, Loïc Loffredo, Gopinathan K. Menon, Pierre Champy, and Francis Hadji-Minaglou. "Exhaustive Analytical Profiling of Phytocompounds in Botanical Active Ingredients: Fighting the Global Prevalence of Adulterated Botanical Ingredients for Cosmetics." Cosmetics 12, no. 2 (2025): 63. https://doi.org/10.3390/cosmetics12020063.

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Traditional herbal medicine, ethnopharmacology, and evidence-based phytotherapy inspire the development of botanical active ingredients for cosmetics. Ensuring their authenticity and quality is essential in guaranteeing the safety and efficacy of cosmetic formulations. However, the industry faces challenges related to adulteration and inconsistent verification practices. Adulteration can occur at both the crude raw material stage and during processing, involving misidentification, contamination, or the addition of unauthorized substances. This review emphasizes the need for robust authenticati

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Vanaraj, Ramkumar, Bincy I.P, Gopiraman Mayakrishnan, Ick Soo Kim, and Seong-Cheol Kim. "A Systematic Review of the Applications of Electronic Nose and Electronic Tongue in Food Quality Assessment and Safety." Chemosensors 13, no. 5 (2025): 161. https://doi.org/10.3390/chemosensors13050161.

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Food quality assessment is a critical aspect of food production and safety, ensuring that products meet both regulatory and consumer standards. Traditional methods such as sensory evaluation, chromatography, and spectrophotometry are widely used but often suffer from limitations, including subjectivity, high costs, and time-consuming procedures. In recent years, the development of electronic nose (e-nose) and electronic tongue (e-tongue) technologies has provided rapid, objective, and reliable alternatives for food quality monitoring. These bio-inspired sensing systems mimic human olfactory an

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Salsabila, Elora, and Adi Sulistiyono. "Telaah Konsensus Privacy Policy Sebagai Kontrak Digital pada E-Commerce Guna Memberikan Perlindungan Data Pribadi." Primagraha Law Review 2, no. 1 (2024): 63–75. https://doi.org/10.59605/ss719993.

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This research is motivated by the phenomenon of personal data misuse occurring in various e-commerce platform. E-commerce platforms inherently have the authority and full responsibility over the collection, processing, and utilization of personal data through profiling activities. The policy regarding these activities is regulated an included in the digital agreement document called the “Policy Privacy”. This study aims to examine whether the “Privacy Policy” has obtained sufficient validity of agreement form e-commerce service users, considering the consensus given appears to be coercive. Mor

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Mahmud, Umar, Shariq Hussain, and Shunkun Yang. "Power Profiling of Context Aware Systems: A Contemporary Analysis and Framework for Power Conservation." Wireless Communications and Mobile Computing 2018 (September 16, 2018): 1–15. http://dx.doi.org/10.1155/2018/1347967.

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With the advent of smart, inexpensive devices and a highly connected world, a need for smart service discovery, delivery, and adaptation has appeared. This interconnection is composed of sensors within devices or placed externally in the surrounding environment. Our research addresses this need through a context aware system, which adapts to the users’ context. Given that the devices are mobile and battery operated, the main challenge in a context awareness approach is power conservation. The devices are composed of small sensors that consume power in the order of a few mW. However, their cons

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Sentellas, Sonia, and Javier Saurina. "Authentication of Cocoa Products Based on Profiling and Fingerprinting Approaches: Assessment of Geographical, Varietal, Agricultural and Processing Features." Foods 12, no. 16 (2023): 3120. http://dx.doi.org/10.3390/foods12163120.

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Cocoa and its derivative products, especially chocolate, are highly appreciated by consumers for their exceptional organoleptic qualities, thus being often considered delicacies. They are also regarded as superfoods due to their nutritional and health properties. Cocoa is susceptible to adulteration to obtain illicit economic benefits, so strategies capable of authenticating its attributes are needed. Features such as cocoa variety, origin, fair trade, and organic production are increasingly important in our society, so they need to be guaranteed. Most of the methods dealing with food authenti

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Luiten, Claire M., Ingrid HM Steenhuis, Helen Eyles, Cliona Ni Mhurchu, and Wilma E. Waterlander. "Ultra-processed foods have the worst nutrient profile, yet they are the most available packaged products in a sample of New Zealand supermarkets." Public Health Nutrition 19, no. 3 (2015): 530–38. http://dx.doi.org/10.1017/s1368980015002177.

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AbstractObjectiveTo examine the availability of packaged food products in New Zealand supermarkets by level of industrial processing, nutrient profiling score (NPSC), price (energy, unit and serving costs) and brand variety.DesignSecondary analysis of cross-sectional survey data on packaged supermarket food and non-alcoholic beverages. Products were classified according to level of industrial processing (minimally, culinary and ultra-processed) and their NPSC.SettingPackaged foods available in four major supermarkets in Auckland, New Zealand.SubjectsPackaged supermarket food products for the y

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Nghiem, Peter. "Best Trade-Off Point Method for Efficient Resource Provisioning in Spark." Algorithms 11, no. 12 (2018): 190. http://dx.doi.org/10.3390/a11120190.

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Considering the recent exponential growth in the amount of information processed in Big Data, the high energy consumed by data processing engines in datacenters has become a major issue, underlining the need for efficient resource allocation for more energy-efficient computing. We previously proposed the Best Trade-off Point (BToP) method, which provides a general approach and techniques based on an algorithm with mathematical formulas to find the best trade-off point on an elbow curve of performance vs. resources for efficient resource provisioning in Hadoop MapReduce. The BToP method is expe

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Ivanov, Denys. "The superhuman being manipulated: the digital and the real personality on social networks." Integrated communications 25242644 (2019): 19–25. http://dx.doi.org/10.28925/2524-2644.2019.7.2.

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The main objective of the article is to describe the basics of using data on the activity/passivity of social network users and gadget owners, as well as related challenges. Using the method of content analysis, we consider the profile in the social network as the profile of the identity of the owner. Through the prism of presence/absence of information, we can assume who is this or that user. Based on various criteria, we can determine to which category a particular user can be attributed. We consider the profile in the network as a place of confession for the user, and the gadget considered

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Yang, Xiaonan, Ying Xiong, Hongda Wang, et al. "Multicomponent Characterization of the Flower Bud of Panax notoginseng and Its Metabolites in Rat Plasma by Ultra-High Performance Liquid Chromatography/Ion Mobility Quadrupole Time-of-Flight Mass Spectrometry." Molecules 27, no. 24 (2022): 9049. http://dx.doi.org/10.3390/molecules27249049.

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The flower bud of Panax notoginseng (PNF) consumed as a tonic shows potential in the prevention and treatment of cardiovascular diseases. To identify the contained multi-components and, in particular, to clarify which components can be absorbed and what metabolites are transformed, unveiling the effective substances of PNF is of vital significance. A unique ultrahigh-performance liquid chromatography/ion mobility quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS) profiling approach and efficient data processing by the UNIFITM bioinformatics platform were employed to comprehensively

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Jankauskienė, Agnė, Dominykas Aleknavičius, Sandra Kiseliovienė, et al. "The Influence of Different Sustainable Substrates on the Nutritional Value of Tenebrio molitor Larvae." Foods 13, no. 3 (2024): 365. http://dx.doi.org/10.3390/foods13030365.

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Every year, over 30% of food production is wasted. However, promoting a sustainable food supply not only fosters economic stability in agriculture and the food industry, but also safeguards precious natural resources and ensures universal food access and safety. Therefore, the aim of the study was to determine how specific growth conditions (utilizing by-products: sprouted potatoes (1), wheat bran (2), brewers’ spent grain (3), and a control sample with agar-agar gels (4)) affect the larvae of yellow mealworms (Tenebrio molitor). This includes their nutritional and energy value, consumer senso

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De Angelis, Elisabetta, Simona Bavaro, Graziana Forte, Rosa Pilolli, and Linda Monaci. "Heat and Pressure Treatments on Almond Protein Stability and Change in Immunoreactivity after Simulated Human Digestion." Nutrients 10, no. 11 (2018): 1679. http://dx.doi.org/10.3390/nu10111679.

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Almond is consumed worldwide and renowned as a valuable healthy food. Despite this, it is also a potent source of allergenic proteins that can trigger several mild to life-threatening immunoreactions. Food processing proved to alter biochemical characteristics of proteins, thus affecting the respective allergenicity. In this paper, we investigated the effect of autoclaving, preceded or not by a hydration step, on the biochemical and immunological properties of almond proteins. Any variation in the stability and immunoreactivity of almond proteins extracted from the treated materials were evalu

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Jia, Li, Tiantian Zuo, Chunxia Zhang, et al. "Simultaneous Profiling and Holistic Comparison of the Metabolomes among the Flower Buds of Panax ginseng, Panax quinquefolius, and Panax notoginseng by UHPLC/IM-QTOF-HDMSE-Based Metabolomics Analysis." Molecules 24, no. 11 (2019): 2188. http://dx.doi.org/10.3390/molecules24112188.

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The flower buds of three Panax species (PGF: flower bud of P. ginseng; PQF: flower bud of P. quinquefolius; PNF: flower bud of P. notoginseng), widely consumed as healthcare products, are easily confused particularly in the extracts or traditional Chinese medicine (TCM) formulae. We are aimed to develop an untargeted metabolomics approach, by ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS) to unveil the chemical markers diagnostic for the differentiation of PGF, PQF, and PNF. Key parameters affecting chromatographic separ

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Вдовитченко, Александр Валерьевич, та Яна Валерьевна Макельская. "ПЛАНУВАННЯ ЕКСПЕРИМЕНТАЛЬНИХ ДОСЛІДЖЕНЬ ЗАЛЕЖНОСТІ СПОЖИТОЇ ЕЛЕКТРИЧНОЇ ЕНЕРГІЇ ВІД РЕСУРСІВ, ЩО СПОЖИВАЮТЬСЯ ВЕБ-БРАУЗЕРОМ В ОПЕРАЦІЙНІЙ СИСТЕМІ WINDOWS". Radioelectronic and Computer Systems, № 4 (26 березня 2019): 101–8. http://dx.doi.org/10.32620/reks.2017.4.12.

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The article contains materials of planning experimental research of modern web browsers' energy efficiency.Modern technologies of software development do not always allow you to get an energy-efficient software at the output. Therefore, an increase of energy efficiency and the necessity to reduce operating costs, while reducing the environmental impact has become an current issue in many scientific communities. An open question which requires both theoretical and experimental study is understanding the functioning of software and its influence on the overall power consumption of a portable dev

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Gaynanov, V. G. "Acoustic profiling data processing software." Oceanology 50, no. 1 (2010): 131–38. http://dx.doi.org/10.1134/s0001437010010157.

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Lamayo, Renz Venielle. "Consumer profiling, price discrimination, and consumer privacy." Philippine Review of Economics 62, no. 1 (2025): 1–26. https://doi.org/10.37907/1erp5202j.

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This paper considers a monopolist who exercises first-degree price discrimination by acquiring consumer data to infer reservation prices. The monopolist uses profiling technology to obtain consumer information whose cost is a function of the fraction of consumers it profiles. We first describe the market equilibrium where consumers do not have access to privacy technology that prevents the monopolist from acquiring their data. The paper then introduces a costly privacy technology that allows consumers to prevent their information from being obtained and used by the monopolist. Equilibrium anal

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Jonson, C. S. L. "Amphetamine profiling — improvements of data processing." Forensic Science International 69, no. 1 (1994): 45–54. http://dx.doi.org/10.1016/0379-0738(94)90048-5.

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Schock, Steven. "Synthetic aperture processing of reflection profiling data." Journal of the Acoustical Society of America 122, no. 5 (2007): 2983. http://dx.doi.org/10.1121/1.2942636.

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Valletti, Tommaso, and Jiahua Wu. "Consumer Profiling with Data Requirements: Structure and Policy Implications." Production and Operations Management 29, no. 2 (2019): 309–29. http://dx.doi.org/10.1111/poms.13108.

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King, Nancy J., and Jay Forder. "Data analytics and consumer profiling: Finding appropriate privacy principles for discovered data." Computer Law & Security Review 32, no. 5 (2016): 696–714. http://dx.doi.org/10.1016/j.clsr.2016.05.002.

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Peira, Giovanni, Damiano Cortese, Giampiero Lombardi, and Luigi Bollani. "Grass-Fed Milk Perception: Profiling Italian Consumer." Sustainability 12, no. 24 (2020): 10348. http://dx.doi.org/10.3390/su122410348.

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This paper aims at analyzing the consumers’ perception of grass-fed milk so as to understand if a production based on a sustainable business model could represent a response to new and emerging needs in consumption. The sample of the study was constituted by a total of 750 Italian members of the International Association Slow Food. A Principal Component Analysis (PCA) was used to summarize the quantitative variables, which, grouped in “dimensions”, were used as input for multivariate statistics (HCA, MCA) in order to define and explain consumer profiles. Our data confirm an in-progress change

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EVANS, ELLEN W., and ELIZABETH C. REDMOND. "Time-Temperature Profiling of United Kingdom Consumers' Domestic Refrigerators." Journal of Food Protection 79, no. 12 (2016): 2119–27. http://dx.doi.org/10.4315/0362-028x.jfp-16-270.

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ABSTRACT Increased consumer demand for convenience and ready-to-eat food, along with changes to consumer food purchase and storage practices, have resulted in an increased reliance on refrigeration to maximize food safety. Previous research suggests that many domestic refrigerators operate at temperatures exceeding recommendations; however, the results of several studies were determined by means of one temperature data point, which, given temperature fluctuation, may not be a true indicator of actual continual operating temperatures. Data detailing actual operating temperatures and the effects

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Heo, JeongAe, Sang Sook Kim, Mi-Ran Kim, and Han Sub Kwak. "Comparison of Sensory Profiling by Descriptive Analysis, Free-Choice Profiling, and Polarized Sensory Positioning on Bottled Water." Foods 12, no. 8 (2023): 1579. http://dx.doi.org/10.3390/foods12081579.

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Consumer-oriented rapid profiling methodologies, including free-choice profiling (FCP) and polarized sensory positioning (PSP), have been studied in recent decades, highlighting alternative aspects of conventional descriptive analysis (DA). In the present study, water samples were evaluated using DA, FCP, and PSP with open-ended questions to compare the sensory profiles. Ten bottled water samples and one filtered water sample were evaluated by a trained panel for DA (n = 11), a semi-trained panel for FCP (n = 16), and naïve consumers for PSP (n = 63). The results were analyzed using principal

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Galvez, Lorina, and Lucy Paloma. "Consumer-Based Optimization and Product Profiling of Garlic-Flavored Oven-Roasted Peanuts." Science and Humanities Journal 10, no. 1 (2013): 16–35. http://dx.doi.org/10.47773/shj.1998.101.2.

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An optimization study of food products is important to be able to develop a nutritious and least costly product using the most efficient processing method. In this study, optimization of an oven-roasted peanut product was done. A two-factor factorial experiment with three levels of garlic solution (4,6, &8 w/w) and roasting time (40, 45 & 50 min) was conducted. Consumer acceptance test and specturm descriptive analysis were done using the 9-point Hedonic scale and 15-cm semi-structrued line, respectively. Roasting time had significant effects on all sensory parameters studied. Garlic l

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Richieri Hanania, Lilian. "Streaming Platforms and Profiling." Medijske studije 13, no. 26 (2023): 10–26. http://dx.doi.org/10.20901/ms.13.26.1.

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This contribution aims to address risks and opportunities for cultural diversity resulting from ‎platforms’ personalisation tools based on a legal analysis of the main provisions of the European Union‎ General Data Protection Regulation (GDPR) on consumer profiling and automated decisions, as well as ‎a sample of data protection policies of selected streaming platforms. It examines how the latter may in‎ practice affect the protection of consumers’ personal data for the purpose of recommending personalised ‎audio-visual and music content online and how such provisions relate to the discoverabi

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Halkin, Andrii. "Emotional State of Consumer in the Urban Purchase: Processing Data." Foundations of Management 10, no. 1 (2018): 99–112. http://dx.doi.org/10.2478/fman-2018-0009.

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AbstractThe research aims to assess the emotional state of the consumer during the purchase process in the urban retail chains. Galvanic skin response (GSR) and heart beat per minute (BPM) are used to assess the effect of environment on emotional fatigue of the consumer during shopping. Stress index was used for evaluating the results of different shops visited by a consumer. The conceptual framework of emotional fatigue research has been presented. The method was also used to estimate the level of emotional fatigue of a consumer during his or her visit to any shop on each purchase stage. The

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Fatima, Fatima Fatima. "Forensic Profiling." International Journal for Electronic Crime Investigation 4, no. 2 (2020): 12. http://dx.doi.org/10.54692/ijeci.2020.040256.

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This review paper brings out technical and legal association between profiling and forensic science. It emphasizes on trace evidences used as valuable information in perspective of forensic science and criminal justice system. The aim of forensic profiling is to interpret and investigate with reasoning purposes. It explains available forms of data, data processing methods and technologies, and obstacles to data treatment. Proceeding with reconstruction process that formulates a possible hypothesis of profile, different forms of forensic profiling with judicial perspective are discussed. Other

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Kasim, Rachmat, Retno Kusumaningrum, and Hamka Witri Kamase. "Implementation of Web Service in Processing of Data Base Financing Costumer Using Fragmentation Method." E3S Web of Conferences 73 (2018): 13025. http://dx.doi.org/10.1051/e3sconf/20187313025.

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This research is to design the Implementation system of Web service of consumer financing data processing based on fragmentation in motor vehicle loan financing in accordance with the pattern of data processing and information needs at that location, then implement the design to know and measure the level of efficiency (ease), effectiveness (speed), accurate (data accuracy), and security (data security) and the process of disseminating data and information from the design offered. Implementation of consumer financing data processing is a database fragmentation system, wherein one network scale

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Wang, Kelly, Kate Comstock, and Caroline Ding. "HRMS data acquisition coupled with advanced data processing for confident metabolite profiling." Drug Metabolism and Pharmacokinetics 33, no. 1 (2018): S23—S24. http://dx.doi.org/10.1016/j.dmpk.2017.11.094.

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Tjon Akon, Melvin. "Personalized Pricing Using Payment Data: Legality and Limits under European Union and Luxembourg Law." European Business Law Review 31, Issue 5 (2020): 947–76. http://dx.doi.org/10.54648/eulr2020035.

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With the transposition of Directive (EU) 2015/2366 (PSD2) into Luxembourg law, payment service providers may have access to consumer payment data and share these data with third parties for the purposes of personalized pricing. In this article, the author analyses the legality and the limits of personalized pricing using payment data under European Union and Luxembourg law, focusing on consumer e-commerce markets. To this end, the author reviews economic studies on personalized pricing and consumer behavior and analyses the application of consumer protection, data protection, anti-discriminati

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Tian, Feng, Huayue Zhang, Xinyu Zhang, et al. "miRAS: a data processing system for miRNA expression profiling study." BMC Bioinformatics 8, no. 1 (2007): 285. http://dx.doi.org/10.1186/1471-2105-8-285.

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Xu, Xiao-ka, En-fang Sang, Gang Qiao, and Ji-sheng Wang. "A new data acquisition and processing system for profiling sonar." Journal of Marine Science and Application 7, no. 3 (2008): 168–73. http://dx.doi.org/10.1007/s11804-008-8020-x.

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Shen, Haoran. "Application of Big Data and Statistical Modeling to Enable Consumer Behavior Analysis in the Digital Economy Landscape." Modern Economics & Management Forum 6, no. 3 (2025): 371. https://doi.org/10.32629/memf.v6i3.4013.

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The rapid development of digital economy has changed the consumer behavior and market operation logic, and the traditional research methods can no longer cope with the diverse data sources and behavioral dynamics. This paper discusses the application of big data and statistical modeling in consumer behavior analysis, firstly, analyzing the change of consumer behavior in digital economy, including the evolution of information acquisition, decision path and platform interaction mechanism; secondly, sorting out the practical application of big data in user profiling, sentiment analysis and behavi

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Береснев, Е. М., and П. А. Беспалова. "Analysis of fast data processing methods." Экономика и предпринимательство, no. 5(142) (August 21, 2022): 307–10. http://dx.doi.org/10.34925/eip.2022.142.5.057.

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Для организации мониторинга конвейера обработки данных, помимо контроля отдельных этапов обработки, тестирования и восстановления отдельных комплексов, планируется создать автоматический мониторинг состояния и работоспособности всего конвейера. Важно включить возможность автоматического запуска тестов, проверки качества данных и описания метаданных. Необходимо получать проактивную информацию об инцидентах при выполнении этапов обработки данных, чтобы система могла автоматически предпринимать корректирующие действия. Все инциденты должны быть зарегистрированы. В идеальном сценарии использования

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Junaedi, M. F. Shellyana. "ANALISIS FAKTOR DEMOGRAFI, AKSES MEDIA DAN SUMBER INFORMASI TERHADAP KEPEDULIAN DAN KESADARAN LINGKUNGAN KONSUMEN: KAJIAN PEMASARAN YANG BERWAWASAN SOSIAL." KINERJA 7, no. 2 (2016): 96–111. http://dx.doi.org/10.24002/kinerja.v7i2.791.

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This study attempts to offer more insights into the dynamic nature of ecologicallyconscious consumer behavior. It also provides profiling and segmenting food purchase decisionmakers (mostly females) based upon ecologically-conscious consumer behavior. The data suggests that demographic criteria, media consumption, and green product source of information significantly influence the ecologically-conscious consumer behavior. It also provides some implications to marketers operating in organic-product market.Keywords: demographic, media consumption, source of information, ecologically conscious, o

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Wibowo, Ekky Chandra, Tien Fabrianti Kusumasari, and Ekky Novriza Alam. "Pengimplementasian Fitur Data Profiling Pada Aplikasi Data Governance Berbasis Open Source Tools dengan Metode Itterative/Incremental." Journal of Information System Research (JOSH) 4, no. 1 (2022): 117–26. http://dx.doi.org/10.47065/josh.v4i1.2315.

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Data is one element that is considered important in a business. If the processing is carried out correctly and as needed, the data has high quality. High data quality can have a positive impact, that is, it can create information and knowledge to support decision-making. In fact, many organizations accumulate data without a good data storage or management system and cause the data to become large so that it is difficult to understand and produce information in it that cannot be conveyed properly which makes a decision not have a maximum positive impact. Data Quality Management (DQM) is conside

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