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Dissertations / Theses on the topic 'Big data privacy'

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1

Sang, Lin. "Social Big Data and Privacy Awareness." Thesis, Uppsala universitet, Institutionen för informatik och media, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-242444.

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Based on the rapid development of Big Data, the data from the online social network becomea major part of it. Big data make the social networks became data-oriented rather than social-oriented. Taking this into account, this dissertation presents a qualitative study to research howdoes the data-oriented social network affect its users’ privacy management for nowadays. Within this dissertation, an overview of Big Data and privacy issues on the social network waspresented as a background study. We adapted the communication privacy theory as a frameworkfor further analysis how individuals manage t
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Ainslie, Mandi. "Big data and privacy : a modernised framework." Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/59805.

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Like the revolutions that preceded it, the Fourth Industrial Revolution has the potential to raise global income levels and improve the quality of life for populations around the world. Responding to global challenges, generating efficiencies, prediction improvement, democratisation access to information and empowering individuals are a few examples of the economic and social value created by personal information. However, this technological innovation, efficiency and productivity comes at a price -?privacy. As a result, individuals are growingly concerned that companies and governments are n
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FAVALE, THOMAS. "Strengthening Privacy and Cybersecurity through Anonymization and Big Data." Doctoral thesis, Politecnico di Torino, 2023. https://hdl.handle.net/11583/2975701.

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Liu, Lian. "PRIVACY PRESERVING DATA MINING FOR NUMERICAL MATRICES, SOCIAL NETWORKS, AND BIG DATA." UKnowledge, 2015. http://uknowledge.uky.edu/cs_etds/31.

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Motivated by increasing public awareness of possible abuse of confidential information, which is considered as a significant hindrance to the development of e-society, medical and financial markets, a privacy preserving data mining framework is presented so that data owners can carefully process data in order to preserve confidential information and guarantee information functionality within an acceptable boundary. First, among many privacy-preserving methodologies, as a group of popular techniques for achieving a balance between data utility and information privacy, a class of data perturbati
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Vu, Xuan-Son. "Privacy-awareness in the era of Big Data and machine learning." Licentiate thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-162182.

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Social Network Sites (SNS) such as Facebook and Twitter, have been playing a great role in our lives. On the one hand, they help connect people who would not otherwise be connected before. Many recent breakthroughs in AI such as facial recognition [49] were achieved thanks to the amount of available data on the Internet via SNS (hereafter Big Data). On the other hand, due to privacy concerns, many people have tried to avoid SNS to protect their privacy. Similar to the security issue of the Internet protocol, Machine Learning (ML), as the core of AI, was not designed with privacy in mind. For i
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Shaham, Sina. "Location Privacy in the Era of Big Data and Machine Learning." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21689.

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Location data of individuals is one of the most sensitive sources of information that once revealed to ill-intended individuals or service providers, can cause severe privacy concerns. In this thesis, we aim at preserving the privacy of users in telecommunication networks against untrusted service providers as well as improving their privacy in the publication of location datasets. For improving the location privacy of users in telecommunication networks, we consider the movement of users in trajectories and investigate the threats that the query history may pose on location privacy. We deve
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MARANDOLA, Daniele. "Le categorie giuridiche dinanzi alla sfida dei Big Data." Doctoral thesis, Università degli studi di Cassino, 2020. http://hdl.handle.net/11580/75275.

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Big data is a term for massive data sets having large, more varied and complexstructure with the difficulties of storing, analyzing and visualizing for furtherprocesses or results. The process of researchinto massive amounts of data to revealhiddenpatterns and secret correlationsnamedas big data analytics. These useful informations for companies or organizations with the help of gainingricher and deeper insights and getting an advantage over the competition. For thisreason, big data implementationsneed to be analyzed and executedasaccuratelyaspossible. Thispaperpresents an overview of big data
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Huang, Xueli. "Achieving Data Privacy and Security in Cloud." Diss., Temple University Libraries, 2016. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/372805.

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Computer and Information Science<br>Ph.D.<br>The growing concerns in term of the privacy of data stored in public cloud have restrained the widespread adoption of cloud computing. The traditional method to protect the data privacy is to encrypt data before they are sent to public cloud, but heavy computation is always introduced by this approach, especially for the image and video data, which has much more amount of data than text data. Another way is to take advantage of hybrid cloud by separating the sensitive data from non-sensitive data and storing them in trusted private cloud and un-trus
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Michel, Axel. "Personalising privacy contraints in Generalization-based Anonymization Models." Thesis, Bourges, INSA Centre Val de Loire, 2019. http://www.theses.fr/2019ISAB0001/document.

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Les bénéfices engendrés par les études statistiques sur les données personnelles des individus sont nombreux, que ce soit dans le médical, l'énergie ou la gestion du trafic urbain pour n'en citer que quelques-uns. Les initiatives publiques de smart-disclosure et d'ouverture des données rendent ces études statistiques indispensables pour les institutions et industries tout autour du globe. Cependant, ces calculs peuvent exposer les données personnelles des individus, portant ainsi atteinte à leur vie privée. Les individus sont alors de plus en plus réticent à participer à des études statistique
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METWALLEY, HASSAN. "Big Data Methodologies and Applications to Privacy and Web Tracking in the Internet." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2667668.

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While on the Internet, individuals encounter invisible services that collect personal information, also known as third-party Web trackers (trackers for short). Linked to advertisement, social sharing, and analytic services in general, hundreds of companies de facto track and build profiles of people. Therefore, actually individuals leak personal and corporate information to trackers whose (legitimate or not) businesses revolve around the value of collected data. The implications are serious, from a person unwillingly exposing private information to an unknown third-party, to a company being un
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Ji, Shouling. "Evaluating the security of anonymized big graph/structural data." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54913.

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We studied the security of anonymized big graph data. Our main contributions include: new De-Anonymization (DA) attacks, comprehensive anonymity, utility, and de-anonymizability quantifications, and a secure graph data publishing/sharing system SecGraph. New DA Attacks. We present two novel graph DA frameworks: cold start single-phase Optimization-based DA (ODA) and De-anonymizing Social-Attribute Graphs (De-SAG). Unlike existing seed-based DA attacks, ODA does not priori knowledge. In addition, ODA’s DA results can facilitate existing DA attacks by providing more seed information. De-SAG is t
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Fu, Tao. "An examination of privacy in the socio-technological context of Big Data and the socio-cultural context of China." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/dissertations/1074.

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Privacy has been an academic concern, ethical issue and legislative conundrum. No other factors have shaped the understanding of privacy as much as the development of technologies – be it the invention of press machines, telephones or cameras. With the diffusion of mobile Internet, social media, the Internet of Things and the penetration of devices such as smartphones, the global positioning system, surveillance cameras, sensors and radio frequency identification tags, Big Data, designed to economically extract value from a huge amount and variety of data, has been accumulating exponentially s
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Giraud, Matthieu. "Secure Distributed MapReduce Protocols : How to have privacy-preserving cloud applications?" Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC033/document.

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À l’heure des réseaux sociaux et des objets connectés, de nombreuses et diverses données sont produites à chaque instant. L’analyse de ces données a donné lieu à une nouvelle science nommée "Big Data". Pour traiter du mieux possible ce flux incessant de données, de nouvelles méthodes de calcul ont vu le jour. Les travaux de cette thèse portent sur la cryptographie appliquée au traitement de grands volumes de données, avec comme finalité la protection des données des utilisateurs. En particulier, nous nous intéressons à la sécurisation d’algorithmes utilisant le paradigme de calcul distribué Ma
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Nybacka, A. (Aino). "Privacy concerns of consumers in big data management for marketing purposes:an integrative literature review." Bachelor's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605261989.

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This bachelor’s thesis is a literature review about big data, privacy concerns for individual consumers and how these two overlap together in a way to possibly explain what are the privacy concerns that customers have, and the companies maybe should think about, when they utilize data as a marketing tool. The thesis introduces an integrative framework for the privacy concerns emerging from the process of big data management for marketing purposes and gives insights for phases in this process first separately from companies point of view, then from the consumers point of view regarding the pri
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Franceschini, Davide. "Panoramica sull'utilizzo etico dei Big Data." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13809/.

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In questa tesi mi sono occupato di Big Data. Che cosa sono, perchè sono importanti, che prospettive di utilizzo e di crescita hanno, da chi vengono utilizzati e a quali scopi. In particolare poi, mi sono soffermato sulle leggi che ne regolamentano gli usi. Quali norme in vigore ed in via di adozione sono presenti nel contesto nazionale e continentale. Un'attenzione particolare l'ho dedicata ad alcune grandi forze economiche che perseguono i propri interessi grazie alla rete. Di queste ultime ho raccontato in che modo si agevolano grazie ai Big Data rispetto alle concorrenti e di come, a vol
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Serra, Michelle. "An exploratory paper of the privacy paradox in the age of big data and emerging technologies." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231588.

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Technological innovations and advancements are helping people gain an increasingly comfortable life, as well as expand their social capital through online networks by offering individual's new opportunities to share personal information. By collecting vast amounts of data a whole new range of services can be offered, information can be collected and compared, and a new level of individualization can be reached. However, with these new technical capacities comes the omnipresence of various devices gathering data, potential threats to privacy, and individuals' increasing concern over data privac
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Sahlstedt, Andreas. "A competition policy for the digital age : An analysis of the challenges posed by data-driven business models to EU competition law." Thesis, Uppsala universitet, Juridiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389650.

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The increasing volume and value of data in online markets along with tendencies of market concentration makes it an interesting research topic in the field of competition law. The purpose of this thesis is to evaluate how EU competition law could adapt to the challenges brought on by big data, particularly in relation to Art. 102 TFEU and the EUMR. Furthermore, this thesis analyses the intersection between privacy regulations and competition law. The characteristics pertaining to online markets and data are presented in this thesis in order to accurately describe the specific challenges which
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Cerf, Sophie. "control theory for computing systems : application to big-data cloud services & location privacy protection." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT024.

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Cette thèse présente une application de la théorie du contrôle pour les systèmes informatiques. Un algorithme de contrôle peut gérer des systèmes plus grands et plus complexes, même lorsqu'ils sont particulièrement sensibles aux variations de leur environnement. Cependant, l'application du contrôle aux systèmes informatiques soulève plusieurs défis, par exemple dû au fait qu'aucune physique ne les régisse. D'une part, le cadre mathématique fourni par la théorie du contrôle peut être utilisé pour améliorer l'automatisation, la robustesse et la fiabilité des systèmes informatiques. D'autre part,
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Tang, Yuzhe. "Secure and high-performance big-data systems in the cloud." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53995.

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Cloud computing and big data technology continue to revolutionize how computing and data analysis are delivered today and in the future. To store and process the fast-changing big data, various scalable systems (e.g. key-value stores and MapReduce) have recently emerged in industry. However, there is a huge gap between what these open-source software systems can offer and what the real-world applications demand. First, scalable key-value stores are designed for simple data access methods, which limit their use in advanced database applications. Second, existing systems in the cloud need automa
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Nybacka, A. (Aino). "The role of consumers’ knowledge and attitudes in determining the importance of privacy in big data marketing." Master's thesis, University of Oulu, 2018. http://urn.fi/URN:NBN:fi:oulu-201806062496.

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The world has changed due to the digital revolution and this means that the marketing environment has changed and that it has to keep changing. Even though the data has always existed and been a part of marketing, due to this digital revolution the marketing done based on customer data has evolved immensely as well. Big data offers marketers opportunities that seem endless, due to the exponentially growing amount of data and the new innovations that are made to harness it, but what has to be remembered is that big data marketing is not a solution without its problems. In this research we fo
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Racioppi, Renzo. "Modelli e Strumenti di Classifciazione Automatica per il Controllo dell'Accesso su Piattaforme Big Data." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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Dall'analisi dei big data si possono trarre degli enormi benefici in svariati ambiti applicativi. Uno dei fattori principali che contribuisce alla ricchezza dei big data, consiste nell'uso non previsto a priori di dati immagazzinati in precedenza, anche in congiunzione con altri dataset eterogenei: questo permette di trovare correlazioni significative e inaspettate tra i dati. Proprio per questo, il Valore, che il dato potenzialmente porta con sè, stimola le organizzazioni a raccogliere e immagazzinare sempre più dati e a ricercare approcci innovativi e originali per effettuare analisi su di e
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Demirsoy, Delil, and Erik Holm. "En studie om Big data och personlig integritet : Vad vet studenter om lagring av deras personliga uppgifter?" Thesis, Högskolan Väst, Avd för informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-15395.

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Denna studie handlar om studenters kännedom om de personliga uppgifter som lagras av institutioner inom högre utbildning, och om det finns skillnader mellan kön gällande kännedomen och hanteringen av dessa uppgifter. Då det i samband med den expanderande lagringen av data och användningen av den genom Big data inom organisationen, visat sig ha påverkan på den personliga integriteten. Tidigare forskning indikerar på att det finns en brist i kännedomen och hanteringen hos människor om vad som lagras av organisationer. Tidigare forskning har även indikerat på att det finns skillnader mellan kön i
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Spiekermann-Hoff, Sarah, Rainer Böhme, Alessandro Acquisti, and Kai-Lung Hui. "Personal Data Markets." Taylor & Francis, 2015. http://dx.doi.org/10.1007/s12525-015-0190-1.

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Vallasciani, Giacomo. "Analisi di problematiche di privacy legate alla geolocalizzazione e al contesto utente." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19614/.

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Il lavoro svolto vuole mostrare le problematiche di privacy legate al costante e massiccio invio di dati da parte dei dispositivi che utilizziamo tutti i giorni (come gli smartphone). I dati che vengono generati ed inviati vengono utilizzati da service provider come Google, Microsoft, Amazon ecc. per ottimizzare e migliorare la qualità dei loro servizi come per esempio la notifica di un treno che dobbiamo prendere oppure la disponibilità o la variazione di prezzo di un prodotto che abbiamo osservato. Anche se questi dati vengono inviati in forma anonima tuttavia è possibile scoprire molte co
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Törngren, Oskar. "Mergers in big data-driven markets : is the dimension of privacy and protection of personal data something to consider in the merger review?" Thesis, Stockholms universitet, Juridiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-153509.

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Battistella, Miriam <1994&gt. "L’utilizzo di big data online per fini commerciali: gli effetti del datagate Facebook e Cambridge Analytica nel privacy paradox." Master's Degree Thesis, Università Ca' Foscari Venezia, 2018. http://hdl.handle.net/10579/13660.

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I dati personali definiscono il profilo identitario di ciascun individuo. In internet tali informazioni sono continuamente registrate e analizzate dalle aziende per scopi commerciali e in particolare, per una profilazione dettagliata della domanda di mercato. In attesa di un regolamento che disciplini il flusso dei dati presenti in rete, nella sua dimensione globale, molti operatori economici hanno stabilito dei codici etici propri, volti a costruire dei rapporti basati sulla consapevolezza e sulla fiducia degli interessati ai trattamenti. Finora l’Unione Europea ha sviluppato uno degli ordina
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Stortoni, Federica <1996&gt. "The Exploitation of Big Data Technologies in Chinese Retail: Towards the Creation of a Regulatory Framework for Privacy Protection." Master's Degree Thesis, Università Ca' Foscari Venezia, 2020. http://hdl.handle.net/10579/18436.

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The thesis aims to analyze the phenomenon of the increasingly indispensable use of Big Data for companies in the retail world, due to the need to anticipate and satisfy the demands of their consumers. Big Data are essential tools for acquiring valuable information on the habits, tastes and characteristics of each user. In the first chapter I will provide an overview of the situation of the retail sector in China, which stands out in the world for its rapid and outstanding digital evolution: Alibaba, Baidu and Tencent, which respectively lead e-commerce, search engines and social media, ranked
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Weimer, Jason M. "Where Are You Now: Privacy, Presence & Place in the Pervasive Computing Era." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1619859682738541.

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Weimer, Jason M. "Where Are You Now: Privacy, Presence & Place in the Pervasive Computing Era." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1619859682738541.

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Palanisamy, Balaji. "Cost-effective and privacy-conscious cloud service provisioning: architectures and algorithms." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52157.

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Cloud Computing represents a recent paradigm shift that enables users to share and remotely access high-powered computing resources (both infrastructure and software/services) contained in off-site data centers thereby allowing a more efficient use of hardware and software infrastructures. This growing trend in cloud computing, combined with the demands for Big Data and Big Data analytics, is driving the rapid evolution of datacenter technologies towards more cost-effective, consumer-driven, more privacy conscious and technology agnostic solutions. This dissertation is dedicated to taking a s
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Gamboa, Sabina, and Kenny Chauca. "Studenters integritet i Big Data-eran : En kvalitativ studie om oro över personlig data och digital integritet." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104420.

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I den nuvarande Big data-eran där stora mängder information samlas och bearbetas för att användas i kommersiellt syfte har den digitala integritetens betydelse ökat. Oro kring hur information samlas in och används har blivit mer aktuellt de senaste åren. Facebook-Cambridge Analytica-skandalen är ett exempel på hur information har använts utan användares samtycke med allvarliga konsekvenser. Detta har ökat den oro många känner kring sin personliga integritet. I Europa har General Data Protection Regulation haft en viktig roll i att skydda användares digitala integritet. Tidigare studier visar a
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Aved, Alexander. "Scene Understanding for Real Time Processing of Queries over Big Data Streaming Video." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5597.

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With heightened security concerns across the globe and the increasing need to monitor, preserve and protect infrastructure and public spaces to ensure proper operation, quality assurance and safety, numerous video cameras have been deployed. Accordingly, they also need to be monitored effectively and efficiently. However, relying on human operators to constantly monitor all the video streams is not scalable or cost effective. Humans can become subjective, fatigued, even exhibit bias and it is difficult to maintain high levels of vigilance when capturing, searching and recognizing events that o
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Lizot, Edouard, and S. M. Abidul Islam. "The impact of Privacy concerns in the context of Big Data : A cross-cultural quantitative study of France and Bangladesh." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75355.

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Background Big Data Analytics take place in almost every sector of new business world. Nowadays, banks are also adopting Big Data to handle the huge number of data that generate every day. Big Data helps banks to provide a fast, personalised service in a cost efficient way. On the other hand, Big Data has some privacy issues as it deals with a lot of data that can be decoded by third party. It is also the case in online banking as it is involved with personal and financial information. Privacy concerns also vary among different cultures. PurposeThe purpose of this cross-cultural study is to in
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Hansson, Madelene, and Adam Manfredsson. "“We Traded Our Privacy for Comfortability” : A Study About How Big Data is Used and Abused by Major International Companies." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96480.

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Due to digitalization, e-commerce and online presence is something most of us take for granted. Companies are moving more towards an internet-based arena of sales, rather than traditional commerce in physical stores. This development has led to that firms’ choses to market themselves through various online channels such as social media. Big data is our digital DNA that we leave behind on every part of the internet that we utilize. Big data has become an international commodity that can be sold, stored and used. The authors of this thesis have investigated the way international firms extract an
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FERRO, VALERIA. "HR Analytics: evoluzione e composizione del conflitto tra datore di lavoro e lavoratore. Un caso aziendale." Doctoral thesis, Università degli studi di Bergamo, 2021. http://hdl.handle.net/10446/181278.

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Il mondo sta scoprendo gli effetti della straordinaria crescita nella produzione dei dati e negli strumenti tecnologici atti ad analizzarli. L’analisi dei big data ha già portato a degli stravolgimenti nel mercato, nelle tecniche di produzione e nella società. Ci si interroga ora su quali effetti potrà avere l’utilizzo della big data analytics applicata ai contesti di lavoro e ai dati personali della forza lavoro. Parte della letteratura incoraggia con forza l’adozione della data analytics da parte della funzione Human Resourse, sottolineando come la materia potrà portare all’identificazione d
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Buono, Nicola. "Un framework per la predizione del contesto utente." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17716/.

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Il seguente lavoro di tesi, vuole mostrare come la grande mole di dati, defi- nita Big Data, generata dai numerosi dispositivi tecnologici creati negli ultimi anni (Smartphone, dispositivi IoT, etc.) e dalle varie web application (social network, servizi di messagistica, servizi di posta elettronica, etc.), possa essere sfruttata per ottenere informazioni relative alla vita privata degli utenti. Infat- ti, nonostante nella letteratura siano presenti una lunga serie di lavori su come utilizzare questi dati in modo efficiente, al fine di creare applicazioni in grado di fornire servizi inn
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Berto, Hedda. "Sharing is Caring : An Examination of the Essential Facilities Doctrine and its Applicability to Big Data." Thesis, Uppsala universitet, Juridiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411945.

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Since the internet revolution, and with the ever-growing presence of the internet in our everyday lives, being able to control as much data as possible has become an indispensable part of any business looking to succeed on digital markets. This is where Big Data has become crucial. Being able to gather, but more importantly process and understand data, has allowed companies to tailor their services according to the unspoken wants of the consumer as well as optimize ad sales according to consumers’ online patterns. Considering the significant power over digital markets possessed by certain comp
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Tenhovaara, Taru. "Transferring Big Data to the United States in the Post Snowden Era : Can the Fundamental Rights of EU citizens laid down in Articles 7,8 and 47 of the Charter be guaranteed?" Thesis, Stockholms universitet, Juridiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-159827.

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Carugati, Christophe. "Competition law and economics of big data : a new competition rulebook." Thesis, Paris 2, 2020. http://www.theses.fr/2020PA020003.

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Cette thèse aborde les enjeux du Big Data en droit de la concurrence en trois chapitres. Le chapitre un propose de nouveaux outils économiques pour définir le marché pertinent et le pouvoir de marché dans l’économie axée sur les données. Il soutient la nécessité de réformer le marché pertinent et le pouvoir de marché en considérant de nouveaux outils et un ensemble de facteurs à prendre en compte pour le pouvoir de marché. Le chapitre deux propose de nouvelles analyses économiques et juridiques pour des fusions et pratiques anticoncurrentielles axées sur les données. Il étudie les sujets de pr
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Loverus, Anna, and Paulina Tellebo. "There ain ́t no such thing as a free lunch : What consumers think about personal data collection online." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-315656.

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This study examines how consumers reason and their opinions about personal data collection online. Its focus is to investigate whether consumers consider online data collection as an issue with moral implications, and if these are unethical. This focus is partly motivated by the contradiction between consumers’ stated opinions and actual behavior, which differ. To meet its purpose, the study poses the research question How is personal data collection and its prevalence online perceived and motivated by consumers?. The theoretical framework consists of the Issue-Contingent Model of Ethical Deci
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Machova, Tereza. "The discourse of surveillance and privacy: biopower and panopticon in the Facebook-Cambridge Analytica scandal." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-44664.

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The Facebook - Cambridge Analytica scandal came to light in 2018 revealing the problematic surveillance practices, and violations of privacy the companies allowed. The EU has introduced a privacy legislation, GDPR, that came into effect in 2018 shortly after the scandal erupted. Privacy is a key problem with modern technologies, as companies are trying to gain all possible data on individuals. The purpose of this thesis is to explore the surveillance-privacy nexus in the EU. This thesis asked the research question of: How has surveillance, through emerging technologies, affected the EU's abili
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Katsura-Gordon, Shigeo. "Democratizing Our Data : Finding Balance Living In A World Of Data Control." Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148942.

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The 2018 scandal where Cambridge Analytica tampered with U.S. elections using targeted ad campaigns driven by illicitly collected Facebook data has shown us that there consequences of living in a world of technology driven by data. Mark Zuckerberg recently took part in a congressional hearing making the topic of controlling data an important discussion at even the highest level of the government. Alternatively we can also recognize the benefits that data has in terms of technology and services that are highly personalized because of data.There’s nothing better than a targeted ad that appears a
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Khrifech, Salma. "La vulnérabilité des internautes suite au partage de données personnelles en ligne." Electronic Thesis or Diss., Reims, 2024. http://www.theses.fr/2024REIME002.

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Suite au développement des nouvelles technologies et des outils de collecte de données en ligne, les internautes sont devenus de plus en plus préoccupés par la confidentialité de leurs données personnelles partagées en ligne. Le non-respect de la vie privée et des politiques de confidentialité contribue à la création d’une vulnérabilité liée aux données. Ce travail de recherche vise à une meilleure compréhension du concept de vulnérabilité liée aux données, c’est-à-dire du sentiment d’impuissance des internautes face à la gestion de leurs données personnelles.Pour ce faire, nous avons d’abord
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Kempa, Ewelina. "Social media addiction : The paradox of visibility & vulnerability." Thesis, Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-1030.

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We currently post a large amount of personal information about ourselves on social media sites. Many times though, users of these services are poorly aware of what kind of terms and conditions they agree to. There are in fact many techniques available that ensure users privacy, yet not many organizations make the effort to have those in place. Making a profit is what matters for companies and information on users is highly valued. It is the lack of regulations regarding data collection that enable organizations not to consider their users privacy. The data that can be collected is vast, it is
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Suárez, Gonzalo Sara. "Big data, poder y libertad. Sobre el impacto social y político de la vigilancia masiva." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/668235.

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Esta tesis doctoral reflexiona sobre el impacto social y político de la explotación de datos masivos a nivel europeo. Cumple dos objetivos principales. En primer lugar, define el contexto general en el que se produce esta explotación, a través del análisis de cinco factores: a) la lógica de generación, recopilación y procesamiento de los datos masivos; b) el modelo de negocio de las grandes corporaciones de servicios digitales; c) el discurso mediático dominante acerca de las tecnologías big data; d) las reacciones sociales y formas de resistencia ante este nuevo escenario; y e) el reglament
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Anderchen, Silvia, and Martin Charvát. "User Perspective of Privacy Exposure on Facebook: An Examination of Risks Perception Among University Students in Sweden." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-54157.

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Social media become a powerful communication medium for effective online social interaction globally. The use of various social networking sites has integrated into people’s daily lives especially among young adults. Problem arises when personal information is used without individuals’ involvement and relevant privacy risks increased. The main focus for the thesis is to investigate privacy perception and risks knowledge of Facebook usage among university students in Sweden. Based on this focus, the research identifies the key reasons that students decide to use and still use Facebook despite o
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Meier, Sebastian [Verfasser], Hartmut [Akademischer Betreuer] Asche, Frank [Akademischer Betreuer] Heidmann, and Till [Akademischer Betreuer] Nagel. "Personal Big Data : a privacy-centred selective cloud computing approach to progressive user modelling on mobile devices / Sebastian Meier ; Hartmut Asche, Frank Heidmann, Till Nagel." Potsdam : Universität Potsdam, 2017. http://d-nb.info/1218403195/34.

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Azevedo, Telma Luiza de. "Utilização de filtros em programa de imagem digital." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/100/100133/tde-17052017-113328/.

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A imagem concentra a informação ideológica que abrange complexas estruturas que permeiam a vida de milhões de usuários e constituem e constroem a sociedade em nosso tempo. A partir do olhar sobre o panorama atual das práticas fotográficas na sociedade, a dissertação trata da utilização dos filtros, que consistem em ferramentas que o fotógrafo pode utilizar para aplicar diversos efeitos em suas imagens, como, por exemplo, evidenciar cores, alterar os contrastes da cena, modificar foco, aplicar efeitos gráficos, absorver parte da luz que chega a lente, isto é, sobrepor camadas de informação às m
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Greenstein, Stanley. "Our Humanity Exposed : Predictive Modelling in a Legal Context." Doctoral thesis, Stockholms universitet, Juridiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-141657.

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This thesis examines predictive modelling from the legal perspective. Predictive modelling is a technology based on applied statistics, mathematics, machine learning and artificial intelligence that uses algorithms to analyse big data collections, and identify patterns that are invisible to human beings. The accumulated knowledge is incorporated into computer models, which are then used to identify and predict human activity in new circumstances, allowing for the manipulation of human behaviour. Predictive models use big data to represent people. Big data is a term used to describe the large a
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Jarboh, Mathias. "Kunskap och attityder kring digitala fotspår och hur det påverkar användandet av internet : En studie om integritet, tillit och egenmakt." Thesis, Södertörns högskola, Medieteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-34323.

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Det finns enorma mängder data att samla in om dagens internetanvändare. Det går idag att med hjälp av människors digitala avtryck avgöra vad de har för intressen, vart de rör sig, samt hur de i framtiden kan komma att agera. I denna studie har det studerats vilken roll attityder och tidigare kunskaper om digitala fotspår har i användandet av internet. Inom ramen för denna uppsats har det också studerats om och hur teorier grundande i begreppen tillit, integritet och egenmakt har haft för inverkan på informanterna. I studien har det använts kulturella sonder för att agera provokatör och inspira
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