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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380)

IBOOKS dosya biçimi, işletim sistemlerinden birinde çalışan cihazlar (bilgisayarlar, telefonlar, tabletler vb.) İçin Springer yazarından Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380) gibi bir e-kitap biçimi olarak geliştirilmiştir. Apple - MacOS veya iOS. Diğer e-kitap dosyaları gibi, örneğin Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380), IBOOKS dosyaları yalnızca metin değil, aynı zamanda grafik ve video bilgileri ile kitap okumak için çok uygun olan üç boyutlu nesneler, sunumlar ve diğer veri türlerini de içerebilir Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380) . IBOOKS dosyaları, basit ve etkileşimli bir kullanıcı arabirimi sağlayarak çoklu dokunma hareketlerini destekledikleri için iBook çoklu dokunma dosyaları olarak bilinir. Bu tür dosyalar Apple'ın iBooks Author'ı kullanılarak kolayca oluşturulabilir. Bu, e-kitap geliştirmek ve yayınlamak için ücretsiz bir programdır. Bu durumda, büyük olasılıkla, IBOOKS uzantılı dosyalar yalnızca belirli bir ücret ödendikten sonra kullanılabilir hale gelecektir. Ancak Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380) tamamen ücretsizdir. IBOOKS dosyaları Apple tarafından Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380) indirebileceğiniz ePub 3 formatına göre geliştirilmiştir. Ancak, Apple bazı ek markalı "yongalar" ekledi. IBOOKS dosyası olarak kaydedilen Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380) kitabı, kullanıcıların tüm Apple cihazlarında indirip okuması için iTunes'a yayınlanabilir.

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Springer Rusça ERWIN N GRISWOLD MDPI AG İspanyolca Fransızca Kolektif Independently published Gale, U.S. Supreme Court Records LAP LAMBERT Academic Publishing Almanca HACHETTE LIVRE-BNF İngilizce Additional Contributors Türkçe Book on Demand Ltd. WADE H MCCREE ROBERT H BORK
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İsbn 10 366262270X
İsbn 13 978-3662622704
Yayın Evi Springer
Boyutlar ve boyutlar 15.49 x 1.17 x 23.5 cm
tarafından gönderildi Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV: Special Issue on Data Management – Principles, Technologies, and Applications ... in Computer Science (12380), Band 12380) 10 Eylül 2020

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management – Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.

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