Agents and Data Mining Interaction [[electronic resource] ] : 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers / / edited by Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XI, 125 p. 54 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Data mining Application software Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) |
ISBN | 3-319-20230-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Learning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams -- Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross-Domain Case -- Modeling Temporal Propagation Dynamics in Multiplex Networks -- Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation -- Accessory-Based Multi-agent Simulating Platform on the Web -- Performance Evaluation of Agents and Multi-agent Systems Using Formal Specifications in Z Notation -- Reputation in Communities of Agent-Based Web Services Through Data Mining -- Data Mining Process Optimization in Computational Multi-agent Systems -- Diversifying the Storytelling Using Bayesian Networks -- A Coupled Similarity Kernel for Pairwise Support Vector Machine. |
Record Nr. | UNISA-996198518203316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Agents and Data Mining Interaction : 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers / / edited by Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (XI, 125 p. 54 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Data mining Application software Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) |
ISBN | 3-319-20230-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Learning Agents’ Relations in Interactive Multiagent Dynamic Influence Diagrams -- Agent-Based Customer Profile Learning in 3G Recommender Systems: Ontology-Driven Multi-source Cross-Domain Case -- Modeling Temporal Propagation Dynamics in Multiplex Networks -- Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation -- Accessory-Based Multi-agent Simulating Platform on the Web -- Performance Evaluation of Agents and Multi-agent Systems Using Formal Specifications in Z Notation -- Reputation in Communities of Agent-Based Web Services Through Data Mining -- Data Mining Process Optimization in Computational Multi-agent Systems -- Diversifying the Storytelling Using Bayesian Networks -- A Coupled Similarity Kernel for Pairwise Support Vector Machine. |
Record Nr. | UNINA-9910484544303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Agents and Data Mining Interaction [[electronic resource] ] : 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers / / edited by Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Jörg P. Müller, Philip S. Yu |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (IX, 137 p. 45 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Data mining Artificial Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-642-55192-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Using Dynamic Bayesian Networks to Model User-Experience -- Multi-Agent Joint Learning from Argumentation -- Towards Mining Norms in Open Source Software Repositories -- The Recognition of Multiple Virtual Identities Association Based on Multi-Agent System -- Redundant Feature Selection for Telemetry Data -- Mining Emerging Patterns of PIU from Computer-Mediated Interaction Events -- Learning Heterogeneous Coupling Relationships between Non-IID Terms -- Learning the Hotness of Information Discussions with Multi-Dimensional Hawkes Processes -- A Spectral Clustering Algorithm Based on Hierarchical Method -- Transitive Identity Mapping using Force-Based Clustering. |
Record Nr. | UNISA-996203611703316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Agents and Data Mining Interaction : 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers / / edited by Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Jörg P. Müller, Philip S. Yu |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (IX, 137 p. 45 illus.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Data mining Artificial Intelligence Data Mining and Knowledge Discovery |
ISBN | 3-642-55192-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Using Dynamic Bayesian Networks to Model User-Experience -- Multi-Agent Joint Learning from Argumentation -- Towards Mining Norms in Open Source Software Repositories -- The Recognition of Multiple Virtual Identities Association Based on Multi-Agent System -- Redundant Feature Selection for Telemetry Data -- Mining Emerging Patterns of PIU from Computer-Mediated Interaction Events -- Learning Heterogeneous Coupling Relationships between Non-IID Terms -- Learning the Hotness of Information Discussions with Multi-Dimensional Hawkes Processes -- A Spectral Clustering Algorithm Based on Hierarchical Method -- Transitive Identity Mapping using Force-Based Clustering. |
Record Nr. | UNINA-9910483804403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Agents and Data Mining Interaction [[electronic resource] ] : 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers / / edited by Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Philip S. Yu, Munindar P. Singh |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XII, 217 p. 81 illus.) |
Disciplina | 006.3/12 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Data mining E-commerce Information storage and retrieval Application software Artificial Intelligence Data Mining and Knowledge Discovery e-Commerce/e-business Information Storage and Retrieval Information Systems Applications (incl. Internet) Computer Applications |
Soggetto genere / forma | Conference papers and proceedings. |
ISBN | 3-642-36287-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Organizational Control for Data Mining with Large Numbers of Agents -- Competitive Benchmarking: Lessons Learned from the Trading Agent Competition -- Supporting Agent-Oriented Software Engineering for Data Mining Enhanced Agent Development -- Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems -- Incentivizing Cooperation in P2P File Sharing: Indirect Interaction as an Incentive to Seed -- An Agent Collaboration-Based Data Hierarchical Caching Approach for HD Video Surveillance -- System Modeling of a Smart-Home Healthy Lifestyle Assistant -- An Optimization Approach to Believable Behavior in Computer Games -- Discovering Frequent Patterns to Bootstrap Trust -- Subjectivity and Objectivity of Trust -- KNN-Based Clustering for Improving Social Recommender Systems -- A Probabilistic Model Based on Uncertainty for Data Clustering -- Following Human Mobility Using Tweets -- Agents and Distributed Data Mining in Smart Space: Challenges and Perspectives -- Agent-Mining of Grid Log-Files: A Case Study -- A Proficient and Dynamic Bidding Agent for Online Auctions. |
Record Nr. | UNISA-996466269703316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Agents and Data Mining Interaction : 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers / / edited by Longbing Cao, Yifeng Zeng, Andreas L. Symeonidis, Vladimir Gorodetsky, Philip S. Yu, Munindar P. Singh |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XII, 217 p. 81 illus.) |
Disciplina | 006.3/12 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Data mining E-commerce Information storage and retrieval Application software Artificial Intelligence Data Mining and Knowledge Discovery e-Commerce/e-business Information Storage and Retrieval Information Systems Applications (incl. Internet) Computer Applications |
Soggetto genere / forma | Conference papers and proceedings. |
ISBN | 3-642-36287-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Organizational Control for Data Mining with Large Numbers of Agents -- Competitive Benchmarking: Lessons Learned from the Trading Agent Competition -- Supporting Agent-Oriented Software Engineering for Data Mining Enhanced Agent Development -- Role-Based Management and Matchmaking in Data-Mining Multi-Agent Systems -- Incentivizing Cooperation in P2P File Sharing: Indirect Interaction as an Incentive to Seed -- An Agent Collaboration-Based Data Hierarchical Caching Approach for HD Video Surveillance -- System Modeling of a Smart-Home Healthy Lifestyle Assistant -- An Optimization Approach to Believable Behavior in Computer Games -- Discovering Frequent Patterns to Bootstrap Trust -- Subjectivity and Objectivity of Trust -- KNN-Based Clustering for Improving Social Recommender Systems -- A Probabilistic Model Based on Uncertainty for Data Clustering -- Following Human Mobility Using Tweets -- Agents and Distributed Data Mining in Smart Space: Challenges and Perspectives -- Agent-Mining of Grid Log-Files: A Case Study -- A Proficient and Dynamic Bidding Agent for Online Auctions. |
Record Nr. | UNINA-9910739463003321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Agents and Data Mining Interaction [[electronic resource] ] : 7th International Workshop, ADMI 2011, Taipei, Taiwan, May 2-6, 2011, Revised Selected Papers / / edited by Longbing Cao, Ana L.C. Bazzan, Andreas L. Symeonidis, Vladimir Gorodetsky, Gerhard Weiss, Philip S. Yu |
Edizione | [1st ed. 2012.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
Descrizione fisica | 1 online resource (XIII, 361 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Database management Computer communication systems Data mining Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Computer Communication Networks Data Mining and Knowledge Discovery |
ISBN | 3-642-27609-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996465984503316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Energy Sustainability Through Retail Electricity Markets : The Power Trading Agent Competition (Power TAC) Experience |
Autore | Collins John |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2023 |
Descrizione fisica | 1 online resource (242 pages) |
Disciplina | 333.79323 |
Altri autori (Persone) |
KetterWolfgang
SymeonidisAndreas L |
Collana | Applied Innovation and Technology Management Series |
ISBN | 3-031-39707-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Foreword -- References -- Contents -- 1 Introduction -- 1.1 Background -- 1.2 Electric Power Markets -- 1.3 Power TAC Goals -- 1.4 The Power TAC Platform -- 1.5 What Is in This Book -- References -- 2 Modeling a Customer Population in Power TAC: Electric Vehicle Chargers -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Modeling a Population of EV Chargers -- 2.3.1 Representation -- 2.3.2 Learning the Charging Behavior of EV Users -- 2.3.3 Dataset -- 2.3.4 GMM Results -- 2.3.5 Model Operation -- 2.4 Generating Demand -- 2.5 Results -- 2.6 Conclusion -- References -- 3 VidyutVanika: AI-Based Autonomous Broker for Smart Grids: From Theory to Practice -- 3.1 Introduction -- 3.2 Preliminaries -- 3.2.1 RL: A Brief Overview -- 3.2.2 Game Theory: A Brief Overview -- 3.2.3 VidyutVanika: Overview -- 3.3 Wholesale Strategies -- 3.3.1 Bayesian Nash Equilibrium Analysis of Wholesale Strategies -- 3.3.2 VV18-WS -- 3.3.3 DDPGBBS for Bidding in Smart Grids -- 3.3.4 VV21-WS -- 3.4 Tariff Strategies -- 3.4.1 VV18-TS -- 3.4.2 VV21-TS -- 3.4.3 Game Theoretical (GT) Analysis of VV21 Tariff Strategy -- 3.5 Results and Discussion -- 3.5.1 Tournament Results (PowerTAC 2018 and 2021) -- 3.5.2 Discussion -- 3.6 Future Directions -- References -- 4 Designing Retail Electricity Tariffs Using ReinforcementLearning -- 4.1 Introduction -- 4.2 Smart Electricity Market -- 4.3 Proposed Broker Strategy -- 4.3.1 Tariff Design -- 4.3.2 Transformation of MUBP to ToU Pricing Schemes -- 4.3.3 Manage Published Consumption Tariffs -- Customer Demand Prediction -- 4.4 Numerical Results and Discussion -- 4.5 Related Work -- 4.6 Conclusions and Future Work -- References -- 5 Nudging the Direction of Energy Tariff Selection: Lessons Learned from an Attribute Framing Experiment with Temporal Construal Levels -- 5.1 Introduction -- 5.2 Decision Frames and Environmental Sustainability.
5.2.1 The Framing of Preferential Choice -- 5.2.2 Framing Effects, Construal Levels, and Individual Differences -- 5.2.3 The Present Study -- 5.3 Data and Methods -- 5.4 Results -- 5.4.1 Basic Differences Between Tariff Evaluations -- 5.5 Discussion and Conclusion -- References -- 6 AgentUDE: A Smart Broker Agent for Autonomous PowerTrading -- 6.1 Introduction -- 6.2 Related Work -- 6.2.1 Electricity Demand and Price Forecasting -- 6.2.2 Strategic Bidding in Wholesale Markets -- 6.2.3 Tariff Forming in Retail Markets -- 6.3 Experimental Setup and Resources -- 6.3.1 Power TAC Tournament Manager -- 6.3.2 Power TAC Log Analysis Tool -- 6.4 AgentUDE14: A Champion Agent -- 6.4.1 Wholesale Market -- 6.4.2 Retail Market -- 6.5 AgentUDE15: Utilizing Storage Capacities -- 6.5.1 Experimental Setup -- 6.5.2 Results -- 6.6 AgentUDE17: A State-of-the-Art Broker -- 6.6.1 AgentUDE17: Smart Bidding in Wholesale Markets -- 6.6.2 AgentUDE17: Evolutionary Trading in Retail Markets -- 6.7 Conclusion and Future Work -- 6.8 AgentUDE Executables and Resources -- References -- 7 Upgrading a Winning Agent to Not Winning: The Case of Agent Mertacor in Power TAC -- 7.1 Introduction -- 7.2 Related Work -- 7.2.1 The Power TAC Environment -- 7.2.2 Pivotal Broker Designs -- 7.3 Mertacor: A Winning Power TAC Agent -- 7.3.1 The Wholesale Market Module -- 7.3.2 The Retail Market Module -- 7.3.3 Mertacor Prediction Strategy -- 7.4 Competition Results (2019, 2020, 2021) and Discussion -- 7.5 Conclusions -- References -- 8 SPOT: Strategies for Power Trading in Wholesale Electricity Markets -- 8.1 Introduction -- 8.2 Background -- 8.2.1 PowerTAC and Related Agent Strategies -- 8.2.2 Periodic Double Auctions (PDAs) -- 8.2.3 Monte Carlo Tree Search (MCTS) -- 8.3 Learning Prices in Dynamic Wholesale Market -- 8.3.1 Supervised Price Predictors -- 8.3.2 Dynamic MDP Price Predictor. 8.3.3 Choosing Price Predictors for Bidding -- 8.4 SPOT's Wholesale Trading Strategies -- 8.4.1 Heuristic Bidding Strategies -- 8.4.2 Bidding Using MCTS -- 8.4.3 Dynamic MCTS Strategy -- 8.5 Experimental Methods and Benchmark Strategies -- 8.5.1 Testbed -- 8.5.2 Benchmark Strategies -- 8.6 Experimental Results -- 8.6.1 MCTS Strategy Variations -- 8.6.2 Candidate Strategy Comparison -- 8.6.3 Dynamic MCTS Comparison -- 8.7 Discussion -- 8.8 Conclusion -- References -- 9 CrocodileAgent: A Decade of Competing in the Power Trading Agent Competition -- 9.1 Introduction -- 9.2 CrocodileAgent Design -- 9.3 Evidence from the Power TAC 2020 Competition -- 9.3.1 Absolute Scores Analysis -- 9.3.2 Relative Scores Analysis -- 9.4 Conclusions -- References -- 10 Incorporating Social Values for Cooperation in Energy Trading and Balancing Research -- 10.1 Introduction -- 10.2 Cooperation in Social Dilemma Situations -- 10.2.1 Social Value Orientation and Cooperation in Social Dilemmas -- 10.2.2 The Measurement of Social Value Orientation -- 10.3 Situational Moderators of Social Value Orientation -- 10.3.1 The Impact of Give-Some vs. Take-Some Games -- 10.3.2 The Impact of One-Shot vs. Repeated Games -- 10.3.3 The Impact of Communication -- 10.3.4 The Impact of Gender Differences -- 10.3.5 The Impact of Trust -- 10.4 Incorporating Social Values for Cooperation in the Power TAC Environment -- 10.4.1 The Power Trading Agent Competition (Power TAC) -- 10.4.2 Toward Non-competitive Broker Agents Based on Social Values -- 10.4.3 Addressing Grand Societal Challenges with Social Values -- 10.5 Conclusion -- References -- 11 Smart Market-Driven Virtual Power Plants of Shared Electric Vehicles -- 11.1 Introduction -- 11.2 Background and Related Literature -- 11.2.1 Balancing the Electrical Grid: Control Reserve Market. 11.2.2 Information-Based Sustainable Society: Carsharing with Electric Vehicles -- 11.3 Data -- 11.4 Model Description -- 11.4.1 Virtual Power Plant Decision Support: FleetPower -- 11.4.2 Endogeneity from Market Participation -- 11.5 Evidence from a Real-World Setting -- 11.5.1 Energy Market Data: California ISO -- 11.6 Analysis and Discussion -- 11.7 Conclusions -- References -- 12 Power TAC Experiment Manager: Support for Empirical Studies -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Supporting Empirical Research -- 12.3.1 Simulation Space -- 12.3.2 Experiments -- 12.4 Architecture -- 12.4.1 Simulation Services -- 12.4.2 Container Virtualization -- 12.5 Implementation -- 12.5.1 Game and Experiment Creation -- 12.5.2 Simulation Automation -- 12.6 Getting Results -- 12.7 Conclusion -- References. |
Record Nr. | UNINA-9910763591703321 |
Collins John | ||
Cham : , : Springer International Publishing AG, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Mining Software Engineering Data for Software Reuse [[electronic resource] /] / by Themistoklis Diamantopoulos, Andreas L. Symeonidis |
Autore | Diamantopoulos Themistoklis |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XXI, 242 p. 174 illus., 103 illus. in color.) |
Disciplina | 005.1 |
Collana | Advanced Information and Knowledge Processing |
Soggetto topico |
Software engineering
Engineering—Data processing Data mining Open source software Computer programming Management information systems Software Engineering Data Engineering Data Mining and Knowledge Discovery Open Source Software Management |
ISBN | 3-030-30106-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Introduction and Background -- Introduction -- Theoretical Background and State-of-the-art -- Part II: Requirements Mining -- Modelling Software Requirements -- Mining Software Requirements -- Part III: Source Code Mining -- Source Code Indexing for Component Reuse -- Mining Source Code for Component Reuse -- Mining Source Code for Snippet Reuse -- Mining Solutions for Extended Snippet Reuse -- Part IV: Quality Assessment -- Providing Reusability-aware Recommendations -- Assessing the Reusability of Source Code Components -- Part V: Conclusion and Future Work -- Conclusion -- Future Work -- Bibliography . |
Record Nr. | UNISA-996465458303316 |
Diamantopoulos Themistoklis | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Mining Software Engineering Data for Software Reuse / / by Themistoklis Diamantopoulos, Andreas L. Symeonidis |
Autore | Diamantopoulos Themistoklis |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XXI, 242 p. 174 illus., 103 illus. in color.) |
Disciplina | 005.1 |
Collana | Advanced Information and Knowledge Processing |
Soggetto topico |
Software engineering
Engineering—Data processing Data mining Open source software Computer programming Management information systems Software Engineering Data Engineering Data Mining and Knowledge Discovery Open Source Software Management |
ISBN | 3-030-30106-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: Introduction and Background -- Introduction -- Theoretical Background and State-of-the-art -- Part II: Requirements Mining -- Modelling Software Requirements -- Mining Software Requirements -- Part III: Source Code Mining -- Source Code Indexing for Component Reuse -- Mining Source Code for Component Reuse -- Mining Source Code for Snippet Reuse -- Mining Solutions for Extended Snippet Reuse -- Part IV: Quality Assessment -- Providing Reusability-aware Recommendations -- Assessing the Reusability of Source Code Components -- Part V: Conclusion and Future Work -- Conclusion -- Future Work -- Bibliography . |
Record Nr. | UNINA-9910409677903321 |
Diamantopoulos Themistoklis | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|