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1

Ontology Driven Conceptualization of Context-Dependent Data Streams and Streaming Databases
Banerjee, Shreya ; Sarkar, Anirban ; National Institute of Technology [Durgapur] (NIT Durgapur) ; et al.
16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM). :240-252

Bialystok, Poland Data stream Conceptual model Context modelling Streaming databases Ontology …
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2

Performance database: capturing data for optimizing distributed streaming workflows
Liew, Chee Sun ; Atkinson, Malcolm P. ; Ostrowski, Radoslaw ; et al.
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2011 Aug . 369(1949), 3268-3284.

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4

Awareness and Usage of Educational Video Streaming Databases by Lecturers at the University of the Free State, South Africa
Mashia Shokane ; Mahlaga Molepo
Mousaion: South African Journal of Information Studies. 42

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5

Teaching Tip Integrating NoSQL Databases Into a Data Analytics Course.
Sharma, Madhav ; Bowman, Andy
Journal of Information Systems Education. Winter2025, Vol. 36 Issue 1, p25-36. 12p.

Social media Nonrelational databases Data analytics Streaming video & televi... Relational databases Multiplayer games …
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6

Awareness and Usage of Educational Video Streaming Databases by Lecturers at the University of the Free State, South Africa.
Shokane, Mashia M. ; Molepo, Mahlaga J.
Mousaion. 2024, Vol. 42 Issue 2, p1-21. 21p.

Educational films Streaming video & televi... Technological innovation... Technology Acceptance Mo... College teachers Free State (South Africa...
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7

Streaming Video Database Features: What Do Faculty and Students Really Want?
Beisler, Amalia ; Bucy, Rosalind ; Medaille, Ann
17

Video Technology Databases Academic Libraries College Students College Faculty Task Analysis …
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8

Research on the motivation for viewer addiction to live streaming: a cross-cultural investigation of China and the USA
Wang, David ; Wang, Li
Online Information Review, 2024, Vol. 49, Issue 1, pp. 200-221.

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9

Do price consciousness, anti-socializing behavior and content add fuel to consuming online video streaming? A multigroup analysis and moderating role of gender and marital status
Baber, Hasnan ; Fanea-Ivanovici, Mina ; Pana, Marius-Cristian ; et al.
Online Information Review, 2024, Vol. 48, Issue 7, pp. 1389-1411.

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10

Event processing platforms and streaming databases for event-driven enterprises
Pethuru Raj ; S. Usha ; N. Susila
Streaming Analytics: Concepts, architectures, platforms, use cases and applications ISBN: 9781839534164

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11

How does on-demand streaming technology promote binge-watching? An exploration and classification of streaming platform design features.
Flayelle, Maèva ; Sigre-Leirós, Vera ; Ferrecchia, Ludovic ; et al.
Psychology of Popular Media Culture

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12

Using streaming for monitoring and data integration in information systems
Pombeiro, Ricardo Jorge Bacalhau

Alarms Digital twin Event-driven Heat pump Monitoring Observability …
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14

Privacy-Preserving Techniques and System for Streaming Databases
Oliveira, Anderson Santana de ; Kerschbaum, Florian ; Lim, Hoon Wei ; et al.
2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing. :728-733

Science::Mathematics::Ap... 0202 electrical engineer... 0102 computer and inform... 02 engineering and techn... 01 natural sciences
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15

Mining Emerging High Utility Itemsets over Streaming Database
Yu Huang ; Philip S. Yu ; Vincent S. Tseng ; et al.
Lecture Notes in Computer Science ISBN: 9783030352301

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16

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17

Understanding viewers' information-sharing in live-streaming based on a motivation perspective
Chou, Shih-Wei ; Hsieh, Ming-Chia ; Pan, Hui-Chun
Online Information Review, 2022, Vol. 47, Issue 1, pp. 177-196.

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18

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19

Digital natives and streaming TV platforms: an integrated perspective to explain continuance usage of over-the-top services
Friederich, Felix ; Palau-Saumell, Ramon ; Matute, Jorge ; et al.
Online Information Review, 2023, Vol. 48, Issue 1, pp. 1-21.

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20

ACCURATE RETRIEVAL OF HIGH UTILITY ITEM SETS FROM THE TRANSACTIONAL DATABASE TO SUPPORT SERVICE ORIENTED COMPUTING.
Ganesan, M. ; Shankar, S.
Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 3, p4251-4265. 15p.

Data mining Databases Knapsack problems
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