Knowledge-based software engineering : proceedings of the Tenth Joint Conference on Knowledge-Based Software Engineering / / edited by Maria Virvou and Saeko Matsuura |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Amsterdam ; ; Washington, D.C., : Ios Press, c2012 |
Descrizione fisica | 1 online resource (340 p.) |
Disciplina | 005.1 |
Altri autori (Persone) |
VirvouMaria
MatsuuraSaeko |
Collana | Frontiers in artificial intelligence and applications |
Soggetto topico |
Expert systems (Computer science)
Software engineering |
ISBN |
1-299-33325-7
1-61499-094-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Title Page; Preface; Contents; A Verification Method of the Correctness of Requirements Ontology; Question Answering System Using Web Relevance Score and Translation Probability; Problems of a Method for Estimating SEAC and EAC by Earned Value Analysis; Proposal of Analysis Method Using Conceptual Data Modeling and Theory of Constraints; A Review Method Based on a Matrix Interpretation of GSN; Artificial Immune System-Based Music Piece Recommendation; A Concept-Based Image Acquisition System with User-Driven Classification; Markerless Human Motion Tracking: A Survey
Evaluation of an Assurance Case Development Method (d*)System Prototype Generation Tool for Requirements Review; Validating Quality Requirements Considerations in a Design Document Using Spectrum Analysis; An Evaluation of a Quality Model for a High Quality Procurement Specification; A Metamodel for Design Review Derived from Design Specification Templates; Full-Text Retrieval System for Humanities Researches; A Preliminary Study on Formalization of Motivation Process in Personal Software Process Course; Evaluation of End User Accessibility Support Using Link Content Analysis Evaluation of a Representation System of Quality IndicatorsToward Dynamic Assurance Cases; An Automatic Approach for Detecting Early Indicators of Design Anti-Patterns; Goal-Oriented Robustness Analysis; A Review Method of Requirements Analysis Model in UML with Prototyping; Development of Requirement Specification Editor with Semantic Information; Consistent GUI Arrangements by Analyzing Existing Windows; Mapping Rule Between Requirements Analysis Model and Web Framework Specific Design Model; Killing Mutants Effectively - A Search Based Approach A Mutation Test Based Approach to Evaluating Test Suites for Web ApplicationsDetecting API Usage Patterns from Software Repositories Using Method Categorization; Computer-Aided Diagnosis and Access on Peoples' Health Status Using Web Technology and Mobile Devices; Using Fuzzy Cognitive Maps for the Domain Knowledge Representation of an Adaptive e-Learning System; Error Diagnosis in Computer-Supported Collaborative Multiple Language Learning Using User Classification; Motivated Agents in Virtual Worlds; Knowledge Acquisition for the Further Development of e-Government Macro and Micro Patterns in the Software Design ActivityFinding Cross-Browser JavaScript Codes Using Sequential Pattern Mining; Multi-Level Human Robot Interaction by Aligning Different Ontologies; Subject Index; Author Index |
Record Nr. | UNINA-9910819668503321 |
Amsterdam ; ; Washington, D.C., : Ios Press, c2012 | ||
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Lo trovi qui: Univ. Federico II | ||
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Knowledge-Based Software Engineering: 2018 : Proceedings of the 12th Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2018) Corfu, Greece / / edited by Maria Virvou, Fumihiro Kumeno, Konstantinos Oikonomou |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (273 pages) |
Disciplina | 005 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Computational intelligence
Artificial intelligence Software engineering Computational Intelligence Artificial Intelligence Software Engineering |
ISBN | 3-319-97679-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Ripple Effect Analysis Method of Data Flow Diagrams in Modifying Data Flow Requirements -- Analysis of Specification in Japanese using Natural Language Processing -- Deriving Successful Factors for Practical AI System Development Projects using Assurance Case -- Estimation of business rules using Associations analysis -- A Fast Learning Recommender Estimating Preferred Ranges of Features -- Quantitative Evaluation of IT Management Activity Knowledge -- A Knowledge Transfer Support System from Text-based Work Reports with Domain Ontologies -- Group affect Recognition: Optimization of Automatic Classification -- An Artificial Immune System-Based Approach for the Extraction of Learning Style Stereotypes -- A Sightseeing Guidebook Automatic Generation Printing System According to the Attribute of Tourist (KadaTabi) -- The Development of the System which Creates Lecture Contents by a Combination of Various Units and Learning Contents. |
Record Nr. | UNINA-9910483453703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machine Learning Paradigms : Advances in Learning Analytics / / edited by Maria Virvou, Efthimios Alepis, George A. Tsihrintzis, Lakhmi C. Jain |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (230 pages) |
Disciplina | 371.334 |
Collana | Intelligent Systems Reference Library |
Soggetto topico |
Computational intelligence
Artificial intelligence Learning Instruction Data mining Computational Intelligence Artificial Intelligence Learning & Instruction Data Mining and Knowledge Discovery |
ISBN | 3-030-13743-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910484339003321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems / / edited by George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (552 pages) |
Disciplina | 006.31 |
Collana | Learning and Analytics in Intelligent Systems |
Soggetto topico |
Computational intelligence
Engineering—Data processing Machine learning Computational Intelligence Data Engineering Machine Learning |
ISBN | 3-030-15628-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems -- Chapter 2: A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure -- Chapter 3: Differential gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research -- Chapter 4: Machine Learning Approaches for Pap-Smear Diagnosis: An Overview -- Chapter 5: Multi-Kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems -- Chapter 6: Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods -- Chapter 7: Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning -- Chapter 8: Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques -- Chapter 9: A Taxonomy and Review of the Network Data Envelopment Analysis Literature -- Chapter 10: Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams -- Chapter 11: Analytics and Evolving Landscape of Machine Learning for Emergency Response -- Chapter 12: Social Media Analytics, Types and Methodology -- Chapter 13: Machine Learning Methods for Opinion Mining in Text: The Past and the Future -- Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment -- Chapter 15: Video Analytics for Visual Surveillance and Applications: An Overview and Survey -- Chapter 16: Machine Learning in Alternate Testing of Integrated Circuits. |
Record Nr. | UNINA-9910483676703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Multimedia services in intelligent environments : advances in recommender systems / / George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain, editors |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Cham, : Springer International, c2013 |
Descrizione fisica | 1 online resource (178 p.) |
Disciplina | 006.3 |
Altri autori (Persone) |
TsihrintzisGeorge A
VirvouMaria JainL. C |
Collana | Smart innovation, systems and technologies |
Soggetto topico |
Interactive multimedia
Computational intelligence Multimedia systems Computer software - Development |
ISBN | 3-319-00372-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multimedia Services in Intelligent Environments – Advances in Recommender Systems -- A Survey of Approaches to Designing Recommender Systems -- Hybrid User Model for Capturing a User's Information Seeking Intent -- Recommender Systems: Network Approaches -- Toward the Next Generation of Recommender Systems: Applications and Research Challenges -- Pattern Extraction from Graphs and Beyond. |
Record Nr. | UNINA-9910734097303321 |
Cham, : Springer International, c2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Multimedia services in intelligent environments : recommendation services / / George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain, editors |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Cham [Germany], : New York, : Springer, 2013 |
Descrizione fisica | 1 online resource (185 p.) |
Disciplina | 006.3 |
Altri autori (Persone) |
TsihrintzisGeorge A
VirvouMaria JainL. C |
Collana | Smart innovation, systems and technologies |
Soggetto topico |
Artificial intelligence
Computational intelligence |
ISBN | 3-319-00375-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Multimedia Services in Intelligent Environments – Recommendation Services -- User Modeling in Mobile Learning Environments for Learners with Special Needs -- Intelligent Mobile Recommendations for Exhibitions using Indoor Location Services -- Smart recommendation services in support of patient empowerment and personalized medicine -- Ontologies and Cooperation of Distributed Heterogeneous Information Systems for Tracking Multiple Chronic Diseases -- Interpreting the omics ‘era’ data -- Systems for Cultural Tourism Indoor Location Services. |
Record Nr. | UNINA-9910734095003321 |
Cham [Germany], : New York, : Springer, 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Object-oriented user interfaces for personalized mobile learning / / Efthimios Alepis, Maria Virvou |
Autore | Alepis Efthimios |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Heidelberg [Germany] : , : Springer, , 2014 |
Descrizione fisica | 1 online resource (xi, 129 pages) : illustrations (some color) |
Disciplina | 006.3 |
Collana | Intelligent Systems Reference Library |
Soggetto topico |
User interfaces (Computer systems)
Object-oriented methods (Computer science) Mobile communication systems in education |
ISBN | 3-642-53851-7 |
Classificazione |
620
AP 15946 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Introduction -- 2. Related Work -- 3. Mobile Student Modeling.-4. Mobile Authoring in Educational Software -- 5. Extending Mobile Personalization to Students with Special Needs -- 6. Mobile vs Desktop Educational Applications -- 7. Multiple Modalities in Mobile Interfaces -- 8. Object Oriented Design for multiple modalities in affective interaction -- 9. Evaluation of the multimodal Object Oriented Architecture -- 10. Mobile Affective Education -- 11. Conclusions -- 12. References. |
Record Nr. | UNINA-9910299721403321 |
Alepis Efthimios
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Heidelberg [Germany] : , : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Privacy and Data Protection Challenges in the Distributed Era |
Autore | Politou Eugenia |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
Descrizione fisica | 1 online resource (195 pages) |
Altri autori (Persone) |
AlepisEfthimios
VirvouMaria PatsakisConstantinos |
Collana | Learning and Analytics in Intelligent Systems Ser. |
Soggetto genere / forma | Electronic books. |
ISBN | 3-030-85443-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Series Editor's Foreword -- References -- Preface -- Contents -- Acronyms -- 1 Introduction -- 1.1 Book Objectives -- 1.2 Book Structure -- References -- 2 Privacy and Personal Data Protection -- 2.1 Introduction -- 2.2 The Value of Personal Data -- 2.3 The Value of Data Privacy -- 2.4 The Rights to Privacy and to Data Protection -- 2.5 Privacy in the Tax and Financial Domain -- References -- 3 The General Data Protection Regulation -- 3.1 Introduction -- 3.2 Introduction to the GDPR -- 3.3 The GDPR Data Protection Principles -- 3.4 Consent and Revocation -- 3.4.1 Consent Misuses -- 3.4.2 Consent Under the GDPR -- 3.4.3 Current Efforts for Revoking Consent -- 3.5 The Right to be Forgotten -- 3.5.1 Forgetting and the Need to be Forgotten -- 3.5.2 About the CJEU Decision -- 3.5.3 The Right to be Forgotten Under the GDPR -- References -- 4 The ``Right to Be Forgotten'' in the GDPR: Implementation Challenges and Potential Solutions -- 4.1 Introduction -- 4.2 Implementation Challenges -- 4.3 The Impact of the GDPR on Backups and Archives -- 4.3.1 GDPR Provisions for Backups and Archives -- 4.3.2 The Process of Backing up -- 4.3.3 IT Security Standards for Backup Procedures -- 4.3.4 Impact Analysis of Implementing the RtbF on Backups -- 4.4 Towards GDPR Compliance -- References -- 5 State-of-the-Art Technological Developments -- 5.1 Introduction -- 5.2 Mobile Ubiquitous Computing -- 5.2.1 Affective Computing -- 5.2.2 Mobile Affective Computing and Ubiquitous Sensing -- 5.3 Decentralized p2p Networks -- 5.3.1 Blockchain -- 5.3.2 Decentralized Storage and File Sharing -- References -- 6 Privacy in Ubiquitous Mobile Computing -- 6.1 Introduction -- 6.2 Privacy Risks in Mobile Computing -- 6.2.1 Privacy and Big Data -- 6.2.2 Informed Consent -- 6.2.3 Risk of Re-Identification -- 6.2.4 Risk of Profiling.
6.2.5 The Risks of Tax and Financial Profiling -- 6.2.6 Towards Accountable, Transparent and Fairer Profiling and Automated Decision Making -- 6.3 Mitigating Privacy Risks Under the GDPR -- 6.3.1 Profiling and Automated Decision Making Under the GDPR -- 6.3.2 Implementation Challenges and Countermeasures -- 6.3.3 The Future of Big Data Profiling Under the GDPR -- References -- 7 Privacy in Blockchain -- 7.1 Introduction -- 7.2 Blockchain Privacy -- 7.3 Blockchain's Immutability and the ``Right to Be Forgotten'' -- 7.4 Current Efforts for Balancing Immutability and the RtbF -- 7.4.1 Bypassing Blockchain's Immutability -- 7.4.2 Removing Blockchain's Immutability -- 7.5 The Controversy -- References -- 8 Implementing Content Erasure in IPFS -- 8.1 Introduction -- 8.2 Storing Off-Chain Personal Data in the IPFS -- 8.3 Erasing Content in IPFS -- 8.4 The Requirement for Total Content Erasure -- 8.5 Towards Aligning IPFS with the RtbF -- 8.6 The Proposed Protocol -- 8.6.1 Assumptions and Desiderata -- 8.6.2 Threat Model -- 8.6.3 IPFS Delegated Erasure Protocol -- 8.6.4 Security Proof -- 8.6.5 Protocol Efficiency -- 8.6.6 Limitations and Countermeasures -- References -- 9 Privacy in the COVID-19 Era -- 9.1 Introduction -- 9.2 Contact Tracing Apps -- 9.3 Immunity Passports -- 9.4 Privacy and Data Protection in the Pandemic -- 9.5 Conclusions -- References -- 10 Open Questions and Future Directions -- 10.1 Introduction -- 10.1.1 Forgetting Implementation Standards -- 10.1.2 Big Data Analytics -- 10.1.3 Backups and Archives -- 10.1.4 Blockchain -- 10.1.5 IPFS and Other Decentralized P2p File Storage Systems -- References -- 11 Conclusions -- 11.1 Introduction -- References. |
Record Nr. | UNINA-9910506403603321 |
Politou Eugenia
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Cham : , : Springer International Publishing AG, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Smart Tourism-The Impact of Artificial Intelligence and Blockchain |
Autore | Kontogianni Aristea |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
Descrizione fisica | 1 online resource (192 pages) |
Altri autori (Persone) |
AlepisEfthimios
VirvouMaria PatsakisConstantinos |
Collana | Intelligent Systems Reference Library |
ISBN | 3-031-50883-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Foreword -- References -- Preface -- Contents -- Acronyms -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Research Objectives -- 1.2 Book Structure -- References -- 2 Conceptualizing Smart Tourism -- 2.1 Introduction -- 2.2 Methodology and Research Approach -- 2.3 Key Concepts and Approaches -- 2.3.1 Theoretical Contribution and Literature Review -- 2.3.2 Context Awareness -- 2.3.3 Cultural Heritage -- 2.3.4 Recommender Systems -- 2.3.5 Social Media -- 2.3.6 Internet of Things -- 2.3.7 User Experience -- 2.3.8 Real Time -- 2.3.9 User Modelling -- 2.3.10 Augmented Reality -- 2.3.11 Artificial Intelligence -- 2.3.12 Big Data -- 2.3.13 Cyber Tourism -- 2.3.14 Privacy and Data Protection -- 2.3.15 Blockchain -- References -- 3 Mobile Applications in Smart Tourism and Smart Cities Based on Crowdsourcing -- 3.1 Smart Cities -- 3.2 Crowdsourcing: State of the Art -- 3.3 Implementing Crowdsourcing in the Context of Smart Cities -- 3.3.1 Mobile Crowdsourcing Application for Data Sharing -- 3.3.2 Mobile Crowdsourcing Application for Signal Measuring -- 3.4 Smartphone Crowdsourcing and Data Sharing Towards … -- 3.4.1 Problem Setting and Inspiration -- 3.4.2 System Architecture -- References -- 4 Mobile Applications in Smart Tourism: Implementing User Modelling -- 4.1 User Modelling: History & -- State of Art -- 4.2 Smart Tourism Through Social Network User Modeling -- 4.3 Implementing User Modeling Utilising Implicit User Data -- 4.3.1 Facebook -- 4.3.2 Instagram -- 4.3.3 Alternative Social Networking Applications for User Modelling -- 4.3.4 Smartphone Context Awareness -- 4.3.5 Semantic Web Technologies for Data Filtering -- 4.3.6 Realizing Personalization: Application of the Analytic Hierarchy Process -- 4.3.7 ProfileMe Framework: Research Overview -- 4.4 Artificial Intelligence & -- User Modelling -- References.
5 Artificial Intelligence in Smart Tourism -- 5.1 Introduction -- 5.2 Artificial Intelligence -- 5.3 AI Autonomous Agents -- 5.4 AI Smart Tourism Recommender Systems -- References -- 6 Implementing Machine Learning for Smart Tourism Frameworks -- 6.1 Introduction -- 6.2 Moments of Interest: A Smart Tourism Crowdsourcing Application -- 6.2.1 Inspiration -- 6.2.2 Moments of Interest: The Concept -- 6.2.3 MOIs System Architecture -- 6.2.4 Background Deep Learning Processing -- 6.2.5 Conclusion -- 6.3 Promoting Smart Tourism Personalised Services via a Combination … -- 6.3.1 Inspiration -- 6.3.2 Artificial Neural Networks -- 6.3.3 Background Deep Learning Approaches -- 6.3.4 Framework Architecture -- 6.3.5 Model Development and Evaluation -- 6.3.6 Conclusions and Future Directions -- References -- 7 Smart Tourism Embraces Blockchain -- 7.1 Introduction -- 7.2 The Blockchain Data Structure -- 7.3 Types of Blockchains and Consensus Protocols -- 7.4 Blockchain: Enabling the Smart Tourism Era -- 7.4.1 Blockchain Enabled Services -- 7.4.2 Blockchain Applications in Smart Tourism -- 7.5 Proposed System Architecture -- 7.5.1 Blockchain Module -- 7.5.2 AI Recommendations, Context Awareness and Cybertourism -- References -- 8 Paving the Way for the Post-COVID-19 Era -- 8.1 Literature Review and Critical Analysis -- References -- 9 Open Questions and Future Directions -- 9.1 Introduction -- 9.1.1 Applications -- 9.1.2 Artificial Intelligence -- 9.1.3 Blockchain -- 9.1.4 Big Data -- 9.1.5 Cyber Tourism and Metaverse -- 9.1.6 Ethical and Privacy Considerations -- 9.1.7 Social and Cultural Implications -- 9.1.8 Government Initiatives -- References -- 10 Conclusions -- References. |
Record Nr. | UNINA-9910831015903321 |
Kontogianni Aristea
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Cham : , : Springer International Publishing AG, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Software and Data Technologies : 5th International Conference, ICSOFT 2010, Athens, Greece, July 22-24, 2010. Revised Selected Papers / / edited by José Cordeiro, Maria Virvou, Boris Shishkov |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XII, 269 p. 99 illus.) |
Disciplina | 005.1 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Software engineering
Programming languages (Electronic computers) Data structures (Computer science) Database management Data mining Application software |
Soggetto genere / forma | Periodicals. |
ISBN | 3-642-29578-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910437587903321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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