1 10 25 http://www.oer.unair.ac.id/files/original/0457cf72d9dc19f79cab8cd084a2c21e.jpg e1898e452c7f1780367835da00a6ffb6 http://www.oer.unair.ac.id/files/original/8ee3acd8f1cf7a9c20aae290604369ff.pdf fa7e1e7d8ee498b4370841ec04fbdce3 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Developing Sustainable and Energy-Efficient Software Systems Subject The topic of the resource Software Engineering; Software Metrics; Software Sustainability; Software Quality Assurance; Green Software Description An account of the resource This open access book provides information how to choose and collect the appropriate metrics for a software project in an organization. There are several kinds of metrics, based on the analysis of source code and developed for different programming paradigms such as structured programming and object-oriented programming (OOP). This way, the book follows three main objectives: (i) to identify existing and easily-collectible measures, if possible in the early phases of software development, for predicting and modeling both the traditional attributes of software systems and attributes specifically related to their efficient use of resources, and to create new metrics for such purposes; (ii) to describe ways to collect these measures during the entire lifecycle of a system, using minimally-invasive monitoring of design-time processes, and consolidate them into conceptual frameworks able to support model building by using a variety of approaches, including statistics, data mining and computational intelligence; and (iii) to present models and tools to support design time evolution of systems based on design-time measures and to empirically validate them. The book provides researchers and advanced professionals with methods for understanding the full implications of alternative choices and their relative attractiveness in terms of enhancing system resilience. It also explores the simultaneous use of multiple models that reflect different system interpretations or stakeholder perspectives. Creator An entity primarily responsible for making the resource Kruglov, Artem Succi, Giancarlo Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/61276 Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource Indah Fatma Silvi Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.1007/978-3-031-11658-2 9783031116582, 9783031116582 Software Engineering http://www.oer.unair.ac.id/files/original/f085a5ad9b91ea3e89eb9169f5a7bcb7.jpg fe24edba89efc2de231b3ded07739a11 http://www.oer.unair.ac.id/files/original/82b6dc11ff8a45612b974e97ad54f309.pdf 9c9d028d0b19335d4548418870589808 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Artificial Intelligence in Digital Pathology and Digital Radiology Where Are We? Subject The topic of the resource Computer Description An account of the resource Buku ini merupakan cetakan ulang dari Edisi Khusus berjudul "Kecerdasan Buatan dalam Patologi Digital dan Radiologi Digital: Di Mana Kita?". Kecerdasan buatan meluas ke dunia radiologi digital dan patologi digital, dan melibatkan banyak akademisi di bidang biomedis, teknologi, dan bioetika. Ada kebutuhan khusus bagi para akademisi untuk fokus pada inovasi di bidang ini dan masalah yang menghambat integrasi ke dalam proses yang kuat dan efektif dalam model perawatan kesehatan yang stabil di domain kesehatan. Banyak profesional yang terlibat dalam bidang kesehatan digital ini didorong untuk berkontribusi dengan pengalaman mereka. Buku ini berisi kontribusi dari berbagai pakar di berbagai bidang. Aspek integrasi dalam domain kesehatan telah dihadapi. Ruang khusus didedikasikan untuk mengulas tantangan, peluang, dan masalah dalam radiologi dan patologi. Pendalaman klinis tersedia dalam bidang kardiologi, histopatologi kanker payudara, dan kolonoskopi. Studi khusus didasarkan pada survei yang menyelidiki mahasiswa dan orang dalam, pendapat, sikap, dan persepsi diri tentang integrasi kecerdasan buatan di bidang ini. Creator An entity primarily responsible for making the resource Giansanti, Daniele (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/84577 Publisher An entity responsible for making the resource available MDPI - Institut Penerbitan Digital Multidisiplin Date A point or period of time associated with an event in the lifecycle of the resource 2022 Contributor An entity responsible for making contributions to the resource Dewi Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/4.0/ Relation A related resource https://directory.doabooks.org/handle/20.500.12854/84577 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource Bahasa inggris Type The nature or genre of the resource Textbook Identifier An unambiguous reference to the resource within a given context DOI 10.3390/buku978-3-0365-4309-3 Tautan toko web https://mdpi.com/books/pdfview ... Bahasa Indonesia: ISBN nomor telepon 9783036543109, 9783036543093 DOI 10.3390/buku978-3-0365-4309-3 Tautan toko web https://mdpi.com/books/pdfview ... Bahasa Indonesia: ISBN nomor telepon 9783036543109, 9783036543093 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Basel http://www.oer.unair.ac.id/files/original/ccbe6a7f0e57ecf9859e705f8016fab4.jpg 7d25bacc2c8fca47bff4ad531f7fba95 http://www.oer.unair.ac.id/files/original/4eaf2763ecfcdd1a86f1b1430ea53eae.pdf fb85549260f78c5ccb8ead691ba30bae Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Big Earth Data in Support of the Sustainable Development Goals (2022)—The Belt and Road Subject The topic of the resource Big Data Description An account of the resource Buku akses terbuka ini memamerkan praktik inovatif metode Big Earth Data melalui kumpulan studi kasus global yang komprehensif untuk memantau dan mengevaluasi indikator untuk tujuh SDG, yaitu, nol kelaparan (SDG 2), air bersih dan sanitasi (SDG 6), energi yang terjangkau dan bersih (SDG 7), kota dan komunitas yang berkelanjutan (SDG 11), aksi iklim (SDG 13), kehidupan di bawah air (SDG 14), kehidupan di darat (SDG 15), dan untuk menganalisis interaksi di antara beberapa indikator SDG. Penekanan pada Big Earth Data sangat relevan dalam konteks tantangan global yang berkembang. Mitigasi risiko bencana, perubahan iklim, keamanan pangan global, pengelolaan sumber daya, dan tantangan lingkungan semuanya saling terkait melalui sistem dan proses bumi yang independen dari konstruksi manusia. Oleh karena itu studi kasus ini menyoroti metode dan praktik penambangan informasi spasial dan evaluasi SDG terintegrasi, yang mencakup mengevaluasi hubungan sinergi dan trade-off di antara SDG dalam konteks korelasinya; simulasi interaksi beberapa indikator dalam skenario lingkungan, ekonomi, dan sosial dalam konteks variasi temporalnya; merancang evaluasi terpadu SDG regional dalam konteks pengalaman dengan studi berbagai indikator. Oleh karena itu, Big Earth Data berpotensi mendukung kebijakan dan dukungan keputusan yang terinformasi pada skala global, regional, dan lokal. Creator An entity primarily responsible for making the resource Guo, Huadong Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/147865 Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource Dewi Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by-nc-nd/4.0/ Relation A related resource https://directory.doabooks.org/handle/20.500.12854/147865 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource Bahasa inggris Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI : 10.1007/978-981-97-3278-4 ISBN : 9789819732784, 9789819732777 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Beijing http://www.oer.unair.ac.id/files/original/765419eccc58ea4fdb5092222fb2c883.jpg 335a3d230cc43eacef4c66a5a26f6883 http://www.oer.unair.ac.id/files/original/15df4454a88fffb9cd023b017f23df51.pdf 84da4e8300ffe747ccdc973503fb00fb Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Rights Law 1.0 Subject The topic of the resource computer Description An account of the resource Sejak kemunculannya, big data telah membawa kita pada bentuk-bentuk energi, teknologi, dan cara-cara pengorganisasian baru yang akan menghasilkan nilai-nilai yang lebih besar melalui persilangan, integrasi, keterbukaan, dan pembagian data. Meskipun demikian, risiko-risiko yang disebabkan oleh akses terbuka dan aliran data juga membawa kita pada tantangan-tantangan besar terhadap privasi, rahasia-rahasia bisnis, serta jaminan sosial dan nasional. Hal ini meningkatkan kesadaran masyarakat terhadap pembagian data, perlindungan privasi, dan keadilan sosial, serta menjadi masalah tata kelola yang signifikan di dunia. Untuk memecahkan masalah-masalah ini, Undang-Undang Hak Data 1.0 bersifat inovatif karena mengusulkan konsep baru tentang «orang data». Undang-undang ini mendefinisikan «hak-hak data» sebagai hak-hak yang berasal dari «orang data» dan «sistem hak-hak data» sebagai tatanan yang didasarkan pada «hak-hak data». «Undang-undang hak data» adalah norma hukum yang terbentuk dari «sistem hak-hak data». Dengan cara ini, buku ini membangun kerangka hukum «hak-hak data-sistem hak-hak data-undang-undang hak-hak data». Apabila data dianggap sebagai hak asasi yang menjadi dasar dibangunnya tatanan dan hukum baru, maka hal itu akan membawa makna baru dan mendalam bagi kehidupan manusia di masa mendatang. Creator An entity primarily responsible for making the resource Lian, Yuming (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/36164 Publisher An entity responsible for making the resource available Peter Lang Date A point or period of time associated with an event in the lifecycle of the resource 2019 Contributor An entity responsible for making contributions to the resource dEWI Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0 Relation A related resource https://directory.doabooks.org/handle/20.500.12854/36164 Format The file format, physical medium, or dimensions of the resource pDF Language A language of the resource Bahasa inggris Type The nature or genre of the resource TEXTBOOKS Identifier An unambiguous reference to the resource within a given context DOI 10.3726/b15737 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Berlin http://www.oer.unair.ac.id/files/original/44bfbf3ad5dde09fe9fe7d0f7a176b49.jpg 08e0c81579b188e7182a000e251df6ec http://www.oer.unair.ac.id/files/original/da75ada56667421fa0640b013a757ded.pdf 1b750e65527eda13efc554c51d3532f4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Data Disclosure Subject The topic of the resource Computer algorithms Description An account of the resource Volume ini menyajikan prosiding konferensi bidt "Vectors of Data Disclosure" yang diselenggarakan di Munich 2022. Kontribusi tersebut memberikan wawasan interdisipliner dan komparatif mengenai berbagai faktor keputusan pengungkapan data – menggabungkan perspektif hukum, studi budaya, dan sistem informasi bisnis. Volume ini juga meringkas hasil proyek penelitian bidt terkait tentang "Vectors of Data Disclosure" Contributor An entity responsible for making contributions to the resource dewi Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource Bahasa inggris Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI : 10.1515/9783111010601 ISBN 9783111010601, 9783111009858, 9783111011769 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Boston Creator An entity primarily responsible for making the resource Hennemann, Moritz (penyunting) oleh Lewinski, Kai (editor) Wawra, Daniela (editor) Widjaja, Thomas (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/101572 Publisher An entity responsible for making the resource available Gruyte Date A point or period of time associated with an event in the lifecycle of the resource 2023 http://www.oer.unair.ac.id/files/original/5165346c739f2aba0a6e21ad16ebff78.jpg 5db96baf12dbae117d33110e1ce9625b http://www.oer.unair.ac.id/files/original/ca2815299105f07dadbc54c3fe55cdee.pdf 12a61836e4fd4d21e04768267d184e31 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation Subject The topic of the resource Program Evaluation; Artificial Intelligence; Digital Technologies; Governance; Big Data; Data Science Description An account of the resource Artificial Intelligence and Evaluation: Emerging Technologies and Their Implications for Evaluation is a groundbreaking exploration of how the landscape of program evaluation will be redefined by artificial intelligence and other emerging digital technologies. In an era where digital technologies and artificial intelligence (AI) are rapidly evolving, this book presents a pivotal resource for evaluators navigating the transformative intersection of their practice and cutting-edge technology. Addressing the dual dimensions of how evaluations are conducted and what is evaluated, a roster of distinguished contributors illuminate the impact of AI on program evaluation methodologies. Offering a discerning overview of various digital technologies, their promises and perils, they carefully dissect the implications for evaluative processes and debate how evaluators must be equipped with the requisite skills to harness the full potential of AI tools. Further, the book includes a number of compelling use cases, demonstrating the tangible applications of AI in diverse evaluation scenarios. The use cases range from the application of GIS data to advanced text analytics. As such, this book provides evaluators with inspirational cases on how to apply AI in their practice as well as what pitfalls one must look out for. Artificial Intelligence and Evaluation is an indispensable guide for evaluators seeking to not only adapt to but thrive in the dynamic landscape of evaluation practices reshaped by the advent of artificial intelligence. Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/94001 Publisher An entity responsible for making the resource available Taylor & Francis Date A point or period of time associated with an event in the lifecycle of the resource 2025 Contributor An entity responsible for making contributions to the resource Bohni Nielsen, Steffen (editor); Mazzeo Rinaldi, Francesco (editor); Petersson, Gustav Jakob (editor) Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.4324/9781003512493 Artificial Intelligence Digital Technologies OER Perpustakaan Universitas Airlangga unair.ac.id http://www.oer.unair.ac.id/files/original/780ebb6e928bcdd40f3a61e7370e33ac.jpg ab1a4dc591af5d7d19b6904d8eedeece http://www.oer.unair.ac.id/files/original/0f47aa41140cb4e551ce56e16a92ded6.pdf 8d99bd0a7775a88b8d587ed51be6572d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Trouble With Big Data: How Datafication Displaces Cultural Practices Subject The topic of the resource Literary Studies; Contemporary Literature (Lit Studies); Literature, Media and Technology (Lit Studies); Digital Art and Media (Film & Media); Philosophy of Science (Philosophy); New Media and Technology (Film & Media); IT and Technology Law (Law); Sociology of Science and Technology (Sociology); History of Science, Technology and Medicine (History); Sociology of Culture, Arts and the Media (Sociology ASC2); Monograph Description An account of the resource This book is available as open access through the Bloomsbury Open programme and is available on www.bloomsburycollections.com. It is funded by Trinity College Dublin, DARIAH-EU and the European Commission. This book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation. Creator An entity primarily responsible for making the resource Edmond, Jennifer Horsley, Nicola Lehmann, Jörg Priddy, Mike Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/52496 Publisher An entity responsible for making the resource available Bloomsbury Academic Date A point or period of time associated with an event in the lifecycle of the resource 2021 Contributor An entity responsible for making contributions to the resource upload by novit Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/3.0 Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.5040/9781350239654 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Data capture & analysis Digital lifestyle Media studies Media studies OER Perpustakaan Universitas Airlangga unair.ac.id http://www.oer.unair.ac.id/files/original/453257db5709236cb56b3603eedf2ed6.jpg e452051f5e3786cfa58e37a2bb46c32d http://www.oer.unair.ac.id/files/original/8a6482d2332684a12539aeaf0f20b665.pdf d45f27abd5faf2ec5a05e8acfef95eed Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Automated Machine Learning Subject The topic of the resource Computer science; Artificial intelligence; Optical data processing; Pattern recogn Description An account of the resource This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work. Creator An entity primarily responsible for making the resource Hutter, Frank (editor) Kotthoff, Lars (editor) Vanschoren, Joaquin (editor) Source A related resource from which the described resource is derived http://library.oapen.org/handle/20.500.12657/23012 Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2019 Contributor An entity responsible for making contributions to the resource upload by novit Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.1007/978-3-030-05318-5 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Artificial intelligence Pattern recognition Image processing Artificial Intelligence OER OER Perpustakaan Universitas Airlangga Perpustakaan Unair unair.ac.id http://www.oer.unair.ac.id/files/original/043e572c147a36b75e0e93e1a70781a6.jpg ef06368fb88d3ae47fe0dd19ecbc53b6 http://www.oer.unair.ac.id/files/original/9b96b018cdcb3873469f918d4e0e374d.pdf ad369be139ab24fd2f429cc9566a8bd8 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Boundaries of Data Subject The topic of the resource Personal data, anonymous data, pseudonymous data, metadata, sensitive personal data Description An account of the resource The legal domain distinguishes between different types of data and attaches a different level of protection to each of them. Thus, non-personal data are left largely unregulated, while privacy and data protection rules apply to personal data or personal information. There are stricter rules for processing sensitive personal data than for ‘ordinary’ personal data, and metadata or communications data are regulated differently than content communications data. Technological developments challenge these legal categorisations on at least three fronts: First, the lines between the categories are becoming harder to draw and more fluid. Second, working with various categories of data works well when the category a datum or dataset falls into is relatively stable. However, this is less and less so. Third, scholars increasingly question the rationale behind the various legal categorisations. This book assesses to what extent either of these strategies is feasible and to what extent alternative approaches could be developed by combining insights from three fields: technology, practice and law. Creator An entity primarily responsible for making the resource van der sloot, bart (editor) van Schendel, Sascha (editor) Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/87784 Publisher An entity responsible for making the resource available Amsterdam University Press Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource upload by novit Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by-nc-nd/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context 10.5117/9789463729192 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Constitutional & administrative law Privacy law Ethical issues & debates Constitutional & administrative law OER Perpustakaan Universitas Airlangga Perpustakaan Universitas Airlangga Personal data unair.ac.id http://www.oer.unair.ac.id/files/original/6589405988c1a28e8f00c654bc62f854.jpg 8b0469e832bcb809c8528428113dcae1 http://www.oer.unair.ac.id/files/original/a27b1cd8cd3b350eb47c35fa47704cc4.pdf 7c83268b14452e4d5047b99cca35f64d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 004 Data Processing & Computer Science Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Learning to Quantify Subject The topic of the resource Data mining Description An account of the resource This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data. Creator An entity primarily responsible for making the resource Esuli, Andrea Fabris, Alessandro Moreo, Alejandro Sebastiani, Fabrizio Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/99160 Publisher An entity responsible for making the resource available Publisher: Springer Nature Publisher website: http://www.springernature.com/oabooks Date A point or period of time associated with an event in the lifecycle of the resource 2023 Contributor An entity responsible for making contributions to the resource Tatik Rights Information about rights held in and over the resource http://creativecommons.org/licenses/by/4.0/ Format The file format, physical medium, or dimensions of the resource Pdf Language A language of the resource English Type The nature or genre of the resource Textbooks Identifier An unambiguous reference to the resource within a given context DOI: 10.1007/978-3-031-20467-8 ISBN: 9783031204678, 9783031204661 Class Prior Estimation Data Mining data science Information Retrieval Machine learning Prevalence Estimation Supervised Learning