1 10 25 http://www.oer.unair.ac.id/files/original/f7bfaf02968bfceed8f501d0590f2caf.jpg ee9e1ce9e3110a5cc7f828f95625c06e http://www.oer.unair.ac.id/files/original/18c3fc37d0b2e8a5a7b413601d497cfa.pdf 6479e1993766961a60719f0318ee6e0c 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 A Practical Guide to TPM 2.0: Using the New Trusted Platform Module in the New Age of Security Subject The topic of the resource Computer Science Creator An entity primarily responsible for making the resource Arthur, Will Challener, David Goldman, Kenneth Source A related resource from which the described resource is derived http://www.springernature.com/oabooks 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 2015 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 10.1007/978-1-4302-6584-9 Fakultas Sains dan Teknologi TPM 2.0 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/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/4b1e752c7824364e24015e2fa8f99561.jpg f829e37e3a7c4bb069b2724020cec1ec http://www.oer.unair.ac.id/files/original/90cc3beb228f176b61fa94081d1c1c2b.pdf cd92feb02c6d4991f1f2c7fc41ee018d 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 Data in Context: Legal, Social and Technological Insights Subject The topic of the resource Library & information sciences Description An account of the resource privacy; data protection; data mining; predictive analytics Creator An entity primarily responsible for making the resource Hoeren, Thomas (editor) Kolany-Raiser, Barbara (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/39488 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 2017 Contributor An entity responsible for making contributions to the resource Guruh Haris Raputra Rights Information about rights held in and over the resource https://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 10.1007/978-3-319-62461-7 Data Mining data protection 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/b7809d7c0762796b9bc59a968bd536ef.jpg d5b3acf57133f7ed0768bc9884f1c5d0 http://www.oer.unair.ac.id/files/original/7e0f0aecca641aa8cc5f6a8beaf248f1.pdf b48094a1a6cbc869f37b77770a23be44 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 Data Clustering Subject The topic of the resource Data mining Description An account of the resource In view of the considerable applications of data clustering techniques in various fields, such as engineering, artificial intelligence, machine learning, clinical medicine, biology, ecology, disease diagnosis, and business marketing, many data clustering algorithms and methods have been developed to deal with complicated data. These techniques include supervised learning methods and unsupervised learning methods such as density-based clustering, K-means clustering, and K-nearest neighbor clustering. This book reviews recently developed data clustering techniques and algorithms and discusses the development of data clustering, including measures of similarity or dissimilarity for data clustering, data clustering algorithms, assessment of clustering algorithms, and data clustering methods recently developed for insurance, psychology, pattern recognition, and survey data. Creator An entity primarily responsible for making the resource Tang, Niansheng (editor) Source A related resource from which the described resource is derived https://directory.doabooks.org/handle/20.500.12854/97038 Publisher An entity responsible for making the resource available Publisher: IntechOpen Publisher website: https://www.intechopen.com/ 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 Tatik Rights Information about rights held in and over the resource https://creativecommons.org/licenses/by/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 DOI: 10.5772/intechopen.95124 Webshop link: https://www.intechopen.com/boo ... ISBN: 9781839698880, 9781839698873, 9781839698897 Databases OER Perpustakaan Universitas Airlangga oer.unair.ac.id Perpustakaan Unair Perpustakaan Universitas Airlangga 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/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/03b42d59cf3788d6e50a8e1dbbd25094.jpg 376789edaec2d1f92fe21362797d4441 http://www.oer.unair.ac.id/files/original/8d2640f975e3c68a27e734f2eec2988a.pdf d53a707c5a4f2906af9cb25dbc5a5484 http://www.oer.unair.ac.id/files/original/7988dcf9baa8d65d985950d8f031d751.pdf ac9c95b19fac7345073339e312829703 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 Science for Wind Energy Description An account of the resource Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights Source A related resource from which the described resource is derived https://library.oapen.org/handle/20.500.12657/87420 Publisher An entity responsible for making the resource available Taylor & Francis https://taylorandfrancis.com/ Date A point or period of time associated with an event in the lifecycle of the resource 2020 Contributor An entity responsible for making contributions to the resource Upload by Nurma Harumiaty 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 DOI 10.1201/9780429490972 ISBN 9781138590526, 9780429956492, 9780429956508, 9780367729097, 9780429490972, 9780429956515 Subject The topic of the resource Artificial intelligence Databases Environmental science, engineering & technology Alternative & renewable energy sources & technology Probability & statistics Creator An entity primarily responsible for making the resource Ding, Yu 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