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…
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…
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),…
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…
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 –…
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…
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,…
This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of…