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Record Nr. |
UNINA9910483314503321 |
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Titolo |
Data-Centric Business and Applications : Towards Software Development (Volume 4) / / edited by Aneta Poniszewska-Marańda, Natalia Kryvinska, Stanisław Jarząbek, Lech Madeyski |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (270 pages) |
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Collana |
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Lecture Notes on Data Engineering and Communications Technologies, , 2367-4512 ; ; 40 |
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Disciplina |
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Soggetti |
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Engineering—Data processing |
Computational intelligence |
Big data |
Artificial intelligence |
Data Engineering |
Computational Intelligence |
Big Data/Analytics |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Towards A Unified Requirements Model for Distributed High Performance Computing -- Bridging Requirements Engineering and Software Development Process -- Information Management System for an Administrative Office With RFID-Tagged Classified Documents -- Software Defect Prediction using Bad Code Smells: A Systematic Literature Review -- Software Development Artifacts in Large Agile Organizations: A Comparison Of Scaling Agile Methods -- Tabu Search Algortihm for Vehicle Routing Problem with Time Windows -- Code Smell Prediction Employing Machine Learning Meets Emerging Java Language Constructs -- Cloud Cognitive Services Based On Machine Learning Methods In Architecture Of Modern Knowledge Management Solutions -- Anti-Cheat Tool For Detecting Unauthorized User |
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Interference In The Unity Engine Using Blockchain -- Approaches To Business Analysis in Scrum at Stepstone – Case Study -- Development Method of Innovative Projects in Higher Education Based on Traditional Software Building Process -- Light-weight Congestion Control for the DCCP: Implementation in the Linux Kernel. |
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Sommario/riassunto |
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This book explores various aspects of software creation and development as well as data and information processing. It covers relevant topics such as business analysis, business rules, requirements engineering, software development processes, software defect prediction, information management systems, and knowledge management solutions. Lastly, the book presents lessons learned in information and data management processes and procedures. . |
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