Data Science and Intelligent Applications [[electronic resource] ] : Proceedings of ICDSIA 2020 / / edited by Ketan Kotecha, Vincenzo Piuri, Hetalkumar N. Shah, Rajan Patel |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (556 pages) |
Disciplina | 005.7 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Computational intelligence
Artificial intelligence Engineering—Data processing Data mining Computer security Computational Intelligence Artificial Intelligence Data Engineering Data Mining and Knowledge Discovery Systems and Data Security |
ISBN | 981-15-4474-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Hate Speech Detection: A Bird’s Eye View -- Intrusion Detection System Using Semi-supervised Machine Learning -- A Survey on Machine Learning and Deep Learning based Approaches for Sarcasm Identification in Social Media -- A Machine Learning Algorithm to Predict Financial Investment -- Genetic Algorithm based Task Scheduling for Load Balancing in Cloud -- Experimental Analysis of Measuring Neighbourhood Change in the Presence of Wormhole in Mobile Wireless Sensor Networks -- Privy Cloud/Web Server -- Automating Container Deployments Using CI/CD -- Security and Performance Evaluations of QUIC Protocol -- Comparative Survey of Digital Image Steganography Spatial Domain Techniques -- Automatic Evaluation of Analog Circuit Designs. |
Record Nr. | UNINA-9910483850203321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data Science and Security [[electronic resource] ] : Proceedings of IDSCS 2020 / / edited by Dharm Singh Jat, Samiksha Shukla, Aynur Unal, Durgesh Kumar Mishra |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (319 pages) : illustrations |
Disciplina | 006.3 |
Collana | Lecture Notes in Networks and Systems |
Soggetto topico |
Engineering—Data processing
Computer security Big data Data structures (Computer science) Computational intelligence Data Engineering Systems and Data Security Big Data Data Structures Computational Intelligence |
ISBN | 981-15-5309-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | An Approach to Predict Potential Edges in Online Social Networks -- A Novel Approach to Human-Computer Interaction using Hand Gesture Recognition -- Insider Threat Detection based on Anomalous Behavior of User for Cyber Security -- A Comparative Study of Text Mining Algorithms for Anomaly Detection in Online Social Networks -- Diabetic Retinopathy Detection using Convolutional Neural Network- a Study -- Implementation of Pisano period in Integer Factorization Algorithm. |
Record Nr. | UNINA-9910484916103321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data Science in Cybersecurity and Cyberthreat Intelligence [[electronic resource] /] / edited by Leslie F. Sikos, Kim-Kwang Raymond Choo |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (140 pages) |
Disciplina | 005.8 |
Collana | Intelligent Systems Reference Library |
Soggetto topico |
Engineering—Data processing
Computational intelligence Artificial intelligence Computer crimes Data Engineering Computational Intelligence Artificial Intelligence Cybercrime Computer Crime |
ISBN | 3-030-38788-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | The Formal Representation of Cyberthreats for Automated Reasoning -- A Logic Programming Approach to Predict Enterprise-Targeted Cyberattacks -- Discovering Malicious URLs Using Machine Learning Techniques -- Machine Learning and Big Data Processing for Cybersecurity Data Analysis -- Systematic Analysis of Security Implementation for Internet of Health Things in Mobile Health Networks -- Seven Pitfalls of Using Data Science in Cybersecurity. |
Record Nr. | UNINA-9910484812003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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A data-centric approach to breaking the FDI trap through integration in global value chains : a case study from clothing manufacturing enterprises in Albania / / Jolta Kacani |
Autore | Kacani Jolta |
Edizione | [1st edition 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (326 pages) |
Disciplina | 687.0285 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Artificial intelligence
Case studies Computers - Data Processing Databases Economic development Economic development - Albania Computational Intelligence Data Engineering Engineering Economics, Organization, Logistics, Marketing |
ISBN | 3-030-43189-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- FDI as an Instrument for Sustainable Economic Development of the Host Territory -- Global Value Chains and the Participation of Albania in International Trade -- Integration of Albania in the Global Value Chains of the Clothing Industry -- Case Study Methodology on Clothing Manufacturing Subsidiaries in Albania -- The Evolution of Clothing Manufacturing Subsidiaries in Albania -- Case Study Analysis of Foreign Clothing Manufacturing Enterprises Operating in Albania -- The Need for Innovation in Trade Openness of Albania -- The Road Ahead into Integration in Global Value Chains -- Glossary. |
Record Nr. | UNINA-9910484791503321 |
Kacani Jolta | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data-Centric Business and Applications [[electronic resource] ] : Towards Software Development (Volume 4) / / edited by Aneta Poniszewska-Marańda, Natalia Kryvinska, Stanisław Jarząbek, Lech Madeyski |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (270 pages) |
Disciplina | 658 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Engineering—Data processing
Computational intelligence Big data Artificial intelligence Data Engineering Computational Intelligence Big Data/Analytics Artificial Intelligence |
ISBN | 3-030-34706-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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 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. |
Record Nr. | UNINA-9910483314503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data-Centric Business and Applications [[electronic resource] ] : Evolvements in Business Information Processing and Management (Volume 3) / / edited by Dmytro Ageyev, Tamara Radivilova, Natalia Kryvinska |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (233 pages) |
Disciplina | 658.054 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Engineering—Data processing
Computational intelligence Big data Artificial intelligence Data Engineering Computational Intelligence Big Data/Analytics Artificial Intelligence |
ISBN | 3-030-35649-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Data-Centric Formation of Marketing Logistic Business Model of Vegetable Market due to Zonal Specialization -- Optimization of the Process of Determining the Effectiveness of Advertising Communication -- Using Recurrent Neural Networks for Data-Centric Business -- System Model for Decision Making Support in Logistics and Quality Management Business Processes of Manufacture Enterprise -- Machine Learning Methods Applications for Estimating Unevenness Level of Regional Development -- Formal Modeling of Decision-Making Processes Under Transboundary Emergency Conditions -- Decision-Making Support System for Experts of Penal Law -- Infocommunication Tasks of University Information System -- Advanced Methods and Means of Authentication of Devices for Processing Business Information. |
Record Nr. | UNINA-9910483451003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data-Driven Scheduling of Semiconductor Manufacturing Systems [[electronic resource] /] / by Li Li, Qingyun Yu, Kuo-Yi Lin, Yumin Ma, Fei Qiao |
Autore | Li Li <1894-1962, > |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (276 pages) |
Disciplina | 810 |
Collana | Advanced and Intelligent Manufacturing in China |
Soggetto topico |
Electronics
Computational intelligence Industrial engineering Production engineering Engineering—Data processing Electronics and Microelectronics, Instrumentation Computational Intelligence Industrial and Production Engineering Data Engineering |
Soggetto non controllato |
Engineering
Industrial Engineering Electronics Technology & Engineering |
ISBN |
9789811975882
9789811975875 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Semiconductor Manufacturing System Scheduling -- Data-driven Scheduling Framework of Semiconductor Manufacturing System -- Data Preprocessing of Semiconductor Manufacturing System -- Correlation Analysis of Performance Index of Semiconductor Production Line -- Data-driven Feeding Control of Semiconductor Manufacturing System -- Dynamic Scheduling of Semiconductor Manufacturing System Driven by Data -- Dynamic Scheduling of Performance-Driven Semiconductor Manufacturing System -- Development Trend of Semiconductor Manufacturing System Scheduling in Big Data Environment. |
Record Nr. | UNINA-9910726289103321 |
Li Li <1894-1962, > | ||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Datenwirtschaft und Datentechnologie [[electronic resource] ] : Wie aus Daten Wert entsteht / / herausgegeben von Marieke Rohde, Matthias Bürger, Kristina Peneva, Johannes Mock |
Autore | Rohde Marieke |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Berlin, Heidelberg, : Springer Nature, 2022 |
Descrizione fisica | 1 online resource (XI, 303 S. 31 Abb., 19 Abb. in Farbe.) |
Disciplina | 620.00285 |
Soggetto topico |
Engineering—Data processing
Electronic commerce Database management Data protection Data Engineering E-Business Database Management Data and Information Security |
Soggetto non controllato |
Datenmonetarisierung
Datenwirtschaft Datentechnologie Datenverträge Data Governance Datenvertragsrecht Informationssicherheit Datenschutz |
ISBN | 3-662-65232-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Einleitung: Wie aus Daten Wert entsteht - Datenwirtschaft und Datentechnologie -- Teil 1 - Daten als Wirtschaftsgut: Einleitung: Daten als Wirtschaftsgut -- Grenzkostenfreie IoT-Services in den Datenmarktplätzen der Zukunft -- Besonderheiten datenbasierter Geschäftsmodellentwicklung -- Das Dilemma der Preisbildung datenbasierter Geschäftsmodelle in der produzierenden Industrie -- Bewertung von Unternehmensdatenbeständen: Wege zur Wertermittlung des wertvollsten immateriellen Vermögensgegenstandes -- Teil 2 - Datenrecht: Einleitung: Datenrecht -- Compliant Programming - Rechtssicherer Einsatz von Blockchains und anderen Datentechnologien -- Data Governance und Datenökonomie - Datenteilung in Ökosystemen rechtskonform gestalten -- Herausforderung und Grenzen bei der Gestaltung von Datenverträgen -- Vertragsdurchführung mit Smart Contracts - rechtliche Rahmenbedingungen und Herausforderungen -- Teil 3 - Kontrolle über Daten: Einleitung: Kontrolle über Daten -- Datenhoheit und Datenschutz aus Nutzer-, Verbraucher- und Patientenperspektive -- Verfahren zur Anonymisierung und Pseudonymisierung von Daten -- Datensouveränität in Digitalen Ökosystemen: Daten nutzbar machen, Kontrolle behalten -- Teil 4 - Vertrauen in Daten: Einleitung: Vertrauen in Daten -- Unternehmensdaten - Informationen aus gewachsenen, komplexen Systemen herausarbeiten -- Datenqualitätssicherung entloang der Datenwertschöpfungskette im Industriekontext -- Nationale und internationale Standardisierung und Zertifizierung von Datendiensten. |
Record Nr. | UNINA-9910623993603321 |
Rohde Marieke | ||
Berlin, Heidelberg, : Springer Nature, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Deep Learning Techniques for Biomedical and Health Informatics [[electronic resource] /] / edited by Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (395 pages) |
Disciplina | 006.31 |
Collana | Studies in Big Data |
Soggetto topico |
Computational intelligence
Engineering—Data processing Biomedical engineering Big data Artificial intelligence Computational Intelligence Data Engineering Biomedical Engineering and Bioengineering Big Data Artificial Intelligence |
ISBN | 3-030-33966-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | MedNLU: Natural Language Understander for Medical Texts -- Deep Learning Based Biomedical Named Entity Recognition Systems -- Disambiguation Model for Bio-Medical Named Entity Recognition -- Applications of Deep Learning in Healthcare and Biomedicine -- Deep Learning for Clinical Decision Support Systems: A Review from the Panorama of Smart Healthcare -- Review of Machine Learning and Deep Learning based Recommender Systems for Health Informatics -- Deep Learning and Explainable AI in Healthcare using EHR -- Deep Learning for Analysis of Electronic Heath Records -- Bioinformatics Using Deep Architecture -- Intelligent, Secure Big Health Data Management using Deep Learning and Blockchain Technology: An Overview -- Malaria Disease Detection using CNN Technique with SGD, RMSprop and ADAM Optimizers -- Deep Reinforcement Learning based Personalized Health Recommendations. |
Record Nr. | UNINA-9910483376403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Digital Economy, Business Analytics, and Big Data Analytics Applications [[electronic resource] /] / edited by Saad G. Yaseen |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (723 pages) |
Disciplina | 319.4 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Engineering - Data processing
Computational intelligence Business information services Data Engineering Computational Intelligence IT in Business |
ISBN |
9783031052583
9783031052576 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Digital Image Processing for Remote Sensing of the Earth's Surface -- Predictive analysis of energy use based on some forecasting models -- Digital Image Processing for Remote Sensing of the Earth's Surface -- Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach -- Firm's Sharia-compliant Status, Cross-sectional Returns, and Malaysian Cross-border Acquisition -- On the Boundary Between Rest Time and Working Hours in a Digital Environment. |
Record Nr. | UNINA-9910616207903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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