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Sprache: Englisch
Verlag: Springer International Publishing, 2016
ISBN 10: 3319290029 ISBN 13: 9783319290027
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 7thInternational Conference on Mobile Computing, Applications, and Services(MobiCASE 2015) held in Berlin, Germany, in November 2015. The 16 full and 4poster papers were carefully reviewed and selected from 43 submissions, and arepresented together with 4 papers from the First Workshop on SituationRecognition by Mining Temporal Information (SIREMETI 2015). The conferencepapers cover the following topics: intelligent caching, activity recognitionand crowdsourcing, mobile frameworks, middleware, interactive applications andmobility.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2016
ISBN 10: 3319290029 ISBN 13: 9783319290027
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Taschenbuch. Zustand: Neu. Mobile Computing, Applications, and Services | 7th International Conference, MobiCASE 2015, Berlin, Germany, November 12-13, 2015, Revised Selected Papers | Stephan Sigg (u. a.) | Taschenbuch | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | xiii | Englisch | 2016 | Springer | EAN 9783319290027 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, Berlin, Springer Nature Singapore, Springer, 2026
ISBN 10: 9819214645 ISBN 13: 9789819214648
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The four-volume set, LNAI 16597-16600 constitutes the proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, held in Hong Kong, China, during June 9 12, 2026.The 184 full papers presented in this book were carefully selected and reviewed from 728 submissions.This program featured three tracks, the Main Track, the Survey Track, and the Special Track on LLMs for Data Science.The Main Track continued its tradition of being the premier forum for the presentation of research results and experience reports on knowledge discovery, data science, and machine learning.The Survey Track was introduced in 2025 for the first time, to promote the dissemination of insightful survey papers: survey papers are intended to provide a structured synthesis of a particular topic in the area of data mining, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity, for the perusal of junior researchers and of experts from other research fields.As the rapid advancements in Large Language Models (LLMs) have opened new avenues for innovation and research across various domains, particularly in the field of data science, we introduced the Special Track on LLMs, which aimed to explore the transformative potential of LLMs for data science, bringing together researchers, practitioners, and industry experts to discuss the latest developments, challenges, and opportunities in this rapidly growing area.
Sprache: Englisch
Verlag: Springer, Berlin, Springer Nature Singapore, Springer, 2026
ISBN 10: 9819214610 ISBN 13: 9789819214617
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The four-volume set, LNAI 16597-16600 constitutes the proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, held in Hong Kong, China, during June 9 12, 2026.The 184 full papers presented in this book were carefully selected and reviewed from 728 submissions.This program featured three tracks, the Main Track, the Survey Track, and the Special Track on LLMs for Data Science.The Main Track continued its tradition of being the premier forum for the presentation of research results and experience reports on knowledge discovery, data science, and machine learning.The Survey Track was introduced in 2025 for the first time, to promote the dissemination of insightful survey papers: survey papers are intended to provide a structured synthesis of a particular topic in the area of data mining, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity, for the perusal of junior researchers and of experts from other research fields.As the rapid advancements in Large Language Models (LLMs) have opened new avenues for innovation and research across various domains, particularly in the field of data science, we introduced the Special Track on LLMs, which aimed to explore the transformative potential of LLMs for data science, bringing together researchers, practitioners, and industry experts to discuss the latest developments, challenges, and opportunities in this rapidly growing area.
Sprache: Englisch
Verlag: Springer, Berlin, Springer Nature Singapore, Springer, 2026
ISBN 10: 981921467X ISBN 13: 9789819214679
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The four-volume set, LNAI 16597-16600 constitutes the proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, held in Hong Kong, China, during June 9 12, 2026.The 184 full papers presented in this book were carefully selected and reviewed from 728 submissions.This program featured three tracks, the Main Track, the Survey Track, and the Special Track on LLMs for Data Science.The Main Track continued its tradition of being the premier forum for the presentation of research results and experience reports on knowledge discovery, data science, and machine learning.The Survey Track was introduced in 2025 for the first time, to promote the dissemination of insightful survey papers: survey papers are intended to provide a structured synthesis of a particular topic in the area of data mining, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity, for the perusal of junior researchers and of experts from other research fields.As the rapid advancements in Large Language Models (LLMs) have opened new avenues for innovation and research across various domains, particularly in the field of data science, we introduced the Special Track on LLMs, which aimed to explore the transformative potential of LLMs for data science, bringing together researchers, practitioners, and industry experts to discuss the latest developments, challenges, and opportunities in this rapidly growing area.
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In den WarenkorbZustand: New.
EUR 119,86
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Sprache: Englisch
Verlag: Springer, Berlin, Springer, 2026
ISBN 10: 9819212995 ISBN 13: 9789819212996
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The four-volume set, LNAI 16597-16600 constitutes the proceedings of the 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, held in Hong Kong, China, during June 9 12, 2026.The 184 full papers presented in this book were carefully selected and reviewed from 728 submissions.This program featured three tracks, the Main Track, the Survey Track, and the Special Track on LLMs for Data Science.The Main Track continued its tradition of being the premier forum for the presentation of research results and experience reports on knowledge discovery, data science, and machine learning.The Survey Track was introduced in 2025 for the first time, to promote the dissemination of insightful survey papers: survey papers are intended to provide a structured synthesis of a particular topic in the area of data mining, including but not limited to theoretical foundations of mining, inference, and learning, big data technologies, as well as security, privacy, and integrity, for the perusal of junior researchers and of experts from other research fields.As the rapid advancements in Large Language Models (LLMs) have opened new avenues for innovation and research across various domains, particularly in the field of data science, we introduced the Special Track on LLMs, which aimed to explore the transformative potential of LLMs for data science, bringing together researchers, practitioners, and industry experts to discuss the latest developments, challenges, and opportunities in this rapidly growing area.