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Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng
Pubbl/distr/stampa Singapore ; ; River Edge, NJ, : World Scientific, 2003
Descrizione fisica 1 online resource (197 p.)
Disciplina 005.741
006.312
Altri autori (Persone) ChingWai Ki <1969->
NgMichael K
Soggetto topico Data mining
Database searching
Soggetto genere / forma Electronic books.
ISBN 1-281-37299-4
9786611372996
981-270-495-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Data Mining; Data Modeling; Preface; Author Index; Algorithms for Mining Frequent Sequences Ben Kao and Ming-Hua Zhang; High Dimensional Feature Selection for Discriminant Microarray Data Analysis Ju-Fu Feng, Jiang-Xin Shi and Qing-Yun Shi; Clustering and Cluster Validation in Data Mining Joshua Zhe-Xue Huang, Hong-Qiang Rong, Jessica Ting, Yun-Ming Ye and Qi-Ming Huang; Cluster Analysis Using Unidimensional Scaling Pui-Lam hung , Chi-Yin Li and Kin-Nam Lau; Automatic Stock Trend Prediction by Real Time News Gabriel Pui-Cheong Fung, Jeffrey Xu Yu and Wai Lam
From Associated Implication Networks to Intermarket Analysis Phil Chi- Wang Tse and Ji-Ming Liu Automating Technical Analysis Philip Leung-Ho Yu, Kin Lam and Sze-Hong Ng; A Divide-and-Conquer Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting Rong-Bo Huang, Yiu-Ming Cheung and Lap-Tak Law; Learning Sunspot Series Dynamics by Recurrent Neural Networks Leong-Kwan Li; Independent Component Analysis: The One-Bit-Matching Conjecture and a Simplified LPM-ICA Algorithm Zhi-Yong Liu, Kai-Chun Chiu and Lei Xu
An Higher-Order Markov Chain Model for Prediction of Categorical Data Sequences Wai-Ki Ching, Eric Siu-Leung Fung and Michael Kwok-Po Ng An Application of the Mixture Autoregressive Model: A Case Study of Modelling Yearly Sunspot Data Kevin Kin-Foon Wong and Chun-Shan Wong; Bond Risk and Return in the SSE Long-Zhen Fan; Mining Loyal Customers: A Practical Use of the Repeat Buying Theory Hing-Po Lo, Xiao-Ling Lu and Zoe Sau-Chun Ng
Record Nr. UNINA-9910451311303321
Singapore ; ; River Edge, NJ, : World Scientific, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng
Pubbl/distr/stampa Singapore ; ; River Edge, NJ, : World Scientific, 2003
Descrizione fisica 1 online resource (197 p.)
Disciplina 005.741
006.312
Altri autori (Persone) ChingWai Ki <1969->
NgMichael K
Soggetto topico Data mining
Database searching
ISBN 1-281-37299-4
9786611372996
981-270-495-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Data Mining; Data Modeling; Preface; Author Index; Algorithms for Mining Frequent Sequences Ben Kao and Ming-Hua Zhang; High Dimensional Feature Selection for Discriminant Microarray Data Analysis Ju-Fu Feng, Jiang-Xin Shi and Qing-Yun Shi; Clustering and Cluster Validation in Data Mining Joshua Zhe-Xue Huang, Hong-Qiang Rong, Jessica Ting, Yun-Ming Ye and Qi-Ming Huang; Cluster Analysis Using Unidimensional Scaling Pui-Lam hung , Chi-Yin Li and Kin-Nam Lau; Automatic Stock Trend Prediction by Real Time News Gabriel Pui-Cheong Fung, Jeffrey Xu Yu and Wai Lam
From Associated Implication Networks to Intermarket Analysis Phil Chi- Wang Tse and Ji-Ming Liu Automating Technical Analysis Philip Leung-Ho Yu, Kin Lam and Sze-Hong Ng; A Divide-and-Conquer Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting Rong-Bo Huang, Yiu-Ming Cheung and Lap-Tak Law; Learning Sunspot Series Dynamics by Recurrent Neural Networks Leong-Kwan Li; Independent Component Analysis: The One-Bit-Matching Conjecture and a Simplified LPM-ICA Algorithm Zhi-Yong Liu, Kai-Chun Chiu and Lei Xu
An Higher-Order Markov Chain Model for Prediction of Categorical Data Sequences Wai-Ki Ching, Eric Siu-Leung Fung and Michael Kwok-Po Ng An Application of the Mixture Autoregressive Model: A Case Study of Modelling Yearly Sunspot Data Kevin Kin-Foon Wong and Chun-Shan Wong; Bond Risk and Return in the SSE Long-Zhen Fan; Mining Loyal Customers: A Practical Use of the Repeat Buying Theory Hing-Po Lo, Xiao-Ling Lu and Zoe Sau-Chun Ng
Record Nr. UNINA-9910783917603321
Singapore ; ; River Edge, NJ, : World Scientific, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng
Advances in data mining and modeling, Hong Kong, 27-28 June 2002 [[electronic resource] /] / editors, Wai-Ki Ching, Michael Kwok-Po Ng
Pubbl/distr/stampa Singapore ; ; River Edge, NJ, : World Scientific, 2003
Descrizione fisica 1 online resource (197 p.)
Disciplina 005.741
006.312
Altri autori (Persone) ChingWai Ki <1969->
NgMichael K
Soggetto topico Data mining
Database searching
ISBN 1-281-37299-4
9786611372996
981-270-495-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; Data Mining; Data Modeling; Preface; Author Index; Algorithms for Mining Frequent Sequences Ben Kao and Ming-Hua Zhang; High Dimensional Feature Selection for Discriminant Microarray Data Analysis Ju-Fu Feng, Jiang-Xin Shi and Qing-Yun Shi; Clustering and Cluster Validation in Data Mining Joshua Zhe-Xue Huang, Hong-Qiang Rong, Jessica Ting, Yun-Ming Ye and Qi-Ming Huang; Cluster Analysis Using Unidimensional Scaling Pui-Lam hung , Chi-Yin Li and Kin-Nam Lau; Automatic Stock Trend Prediction by Real Time News Gabriel Pui-Cheong Fung, Jeffrey Xu Yu and Wai Lam
From Associated Implication Networks to Intermarket Analysis Phil Chi- Wang Tse and Ji-Ming Liu Automating Technical Analysis Philip Leung-Ho Yu, Kin Lam and Sze-Hong Ng; A Divide-and-Conquer Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting Rong-Bo Huang, Yiu-Ming Cheung and Lap-Tak Law; Learning Sunspot Series Dynamics by Recurrent Neural Networks Leong-Kwan Li; Independent Component Analysis: The One-Bit-Matching Conjecture and a Simplified LPM-ICA Algorithm Zhi-Yong Liu, Kai-Chun Chiu and Lei Xu
An Higher-Order Markov Chain Model for Prediction of Categorical Data Sequences Wai-Ki Ching, Eric Siu-Leung Fung and Michael Kwok-Po Ng An Application of the Mixture Autoregressive Model: A Case Study of Modelling Yearly Sunspot Data Kevin Kin-Foon Wong and Chun-Shan Wong; Bond Risk and Return in the SSE Long-Zhen Fan; Mining Loyal Customers: A Practical Use of the Repeat Buying Theory Hing-Po Lo, Xiao-Ling Lu and Zoe Sau-Chun Ng
Record Nr. UNINA-9910828813403321
Singapore ; ; River Edge, NJ, : World Scientific, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Blockchain : guida all'ecosistema : tecnologia, business, società / Nicola Attico ; prefazione di Francesco Varanini
Blockchain : guida all'ecosistema : tecnologia, business, società / Nicola Attico ; prefazione di Francesco Varanini
Autore ATTICO, Nicola
Pubbl/distr/stampa Milano, : Guerini next, 2018
Descrizione fisica 219 p. ; 21 cm
Disciplina 005.741
Soggetto topico Blockchain
ISBN 978-88-6896-218-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISA-996355650403316
ATTICO, Nicola  
Milano, : Guerini next, 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Blockchain entry level : la rete nel XXI secolo / Paolo Siligoni e Clemente Venece
Blockchain entry level : la rete nel XXI secolo / Paolo Siligoni e Clemente Venece
Autore Siligoni, Paolo
Pubbl/distr/stampa Bologna, : Fausto Lupetti, 2020
Descrizione fisica 159 p. : ill. ; 21 cm
Disciplina 005.741
Altri autori (Persone) Venece, Clemente
Collana Media Web Comunications
Soggetto non controllato Servizi finanziari - Innovazione tecnologica
ISBN 978-88-6874-249-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNINA-9910507306003321
Siligoni, Paolo  
Bologna, : Fausto Lupetti, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Configuration and tuning GPFS for digital media environments [[electronic resource] /] / Octavian Lascu ... [et al.]
Configuration and tuning GPFS for digital media environments [[electronic resource] /] / Octavian Lascu ... [et al.]
Edizione [1st ed.]
Pubbl/distr/stampa Austin, TX, : IBM, International Technical Support Organization, 2005
Descrizione fisica xii, 252 p. : ill
Disciplina 005.741
Collana Redbooks
Soggetto topico Parallel processing (Electronic computers)
File organization (Computer science)
Computer network architectures
Digital media
Soggetto genere / forma Electronic books.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910450131103321
Austin, TX, : IBM, International Technical Support Organization, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Configuration and tuning GPFS for digital media environments [[electronic resource] /] / Octavian Lascu ... [et al.]
Configuration and tuning GPFS for digital media environments [[electronic resource] /] / Octavian Lascu ... [et al.]
Edizione [1st ed.]
Pubbl/distr/stampa Austin, TX, : IBM, International Technical Support Organization, 2005
Descrizione fisica xii, 252 p. : ill
Disciplina 005.741
Collana Redbooks
Soggetto topico Parallel processing (Electronic computers)
File organization (Computer science)
Computer network architectures
Digital media
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910783525603321
Austin, TX, : IBM, International Technical Support Organization, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Configuration and tuning GPFS for digital media environments [[electronic resource] /] / Octavian Lascu ... [et al.]
Configuration and tuning GPFS for digital media environments [[electronic resource] /] / Octavian Lascu ... [et al.]
Edizione [1st ed.]
Pubbl/distr/stampa Austin, TX, : IBM, International Technical Support Organization, 2005
Descrizione fisica xii, 252 p. : ill
Disciplina 005.741
Collana Redbooks
Soggetto topico Parallel processing (Electronic computers)
File organization (Computer science)
Computer network architectures
Digital media
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910824917303321
Austin, TX, : IBM, International Technical Support Organization, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis and related applications . Volume 2 : multivariate, health and demographic data analysis / / edited by Konstantinos N Zafeiris [and four others]
Data analysis and related applications . Volume 2 : multivariate, health and demographic data analysis / / edited by Konstantinos N Zafeiris [and four others]
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2022]
Descrizione fisica 1 online resource (444 pages)
Disciplina 005.741
Collana Big data, artificial intelligence and data analysis set
Soggetto topico Quantitative research
ISBN 1-394-16554-4
1-394-16552-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- PART 1 -- 1. A Topological Clustering of Variables -- 1.1. Introduction -- 1.2. Topological context -- 1.2.1. Reference adjacency matrices -- 1.2.2. Quantitative variables -- 1.2.3. Qualitative variables -- 1.2.4. Mixed variables -- 1.3. Topological clustering of variables - selective review -- 1.4. Illustration on real data of simple examples -- 1.4.1. Case of a set of quantitative variables -- 1.4.2. Case of a set of qualitative variables -- 1.4.3. Case of a set of mixed variables -- 1.5. Conclusion -- 1.6. Appendix -- 1.7. References -- 2. A New Regression Model for Count Compositions -- 2.1. Introduction -- 2.1.1. Distributions for count vectors -- 2.2. Regression models and Bayesian inference -- 2.3. Simulation studies -- 2.3.1. Fitting study -- 2.3.2. Excess of zeroes -- 2.4. Application to real electoral data -- 2.5. References -- 3. Intergenerational Class Mobility in Greece with Evidence from EU-SILC -- 3.1. Introduction -- 3.2. Data and methods -- 3.3. The trends of class mobility between different birth cohorts -- 3.4. Conclusion -- 3.5. References -- 4. Capturing School-to-Work Transitions Using Data from the First European Graduate Survey -- 4.1. Introduction -- 4.2. Data and methodology -- 4.3. Results -- 4.4. Conclusion -- 4.5. References -- 5. A Cluster Analysis Approach for Identifying Precarious Workers -- 5.1. Introduction -- 5.2. Data and methodology -- 5.3. Results -- 5.4. Conclusion and discussion -- 5.4.1. Declarations -- 5.5. References -- 6. American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process -- 6.1. Introduction -- 6.2. American option pricing -- 6.3. Exercising strategies -- 6.3.1. Setting parameter -- 6.3.2. Relationship between the American option price and economic situation i.
6.3.3. Relationship between the American option price and the asset price s -- 6.3.4. Relationship between the American option price and maturity T -- 6.3.5. Relationship between the American option price and transition probabilities P -- 6.3.6. Consideration of the optimal exercise region -- 6.4. Conclusion -- 6.5. References -- 7. The Implementation of Hierarchical Classifications and Cochran's Rule in the Analysis of Social Data -- 7.1. Introduction -- 7.2. Methods -- 7.3. Results -- 7.4. Conclusion -- 7.5. References -- 8. Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics -- 8.1. Introduction -- 8.2. Mathematical model -- 8.3. Optimization problem -- 8.4. HJBI equation: formulation and solution -- 8.5. Concluding remarks -- 8.6. Acknowledgments -- 8.7. References -- PART 2 -- 9. Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment -- 9.1. Introduction -- 9.2. Modeling the process of event occurrence -- 9.2.1. Estimating parameters of the model -- 9.3. Predicting event counts for patients at risk -- 9.3.1. Global prediction -- 9.4. Predicting event counts accounting for ongoing recruitment -- 9.4.1. Modeling and predicting patient recruitment -- 9.4.2. Predicting event counts -- 9.4.3. Global forecasting event counts at interim stage -- 9.5. Monte Carlo simulation -- 9.6. Software development -- 9.6.1. R package design -- 9.6.2. R package input data required -- 9.7. R package and implementation in a clinical trial -- 9.7.1. Introduction -- 9.7.2. Key predictions -- 9.7.3. Plots and parameter estimates -- 9.8. Conclusion -- 9.9. References -- 10. Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level -- 10.1. Introduction -- 10.2. Structural equation modeling using partial least squares.
10.2.1. Specification of the internal model -- 10.2.2. Specification of the external model -- 10.2.3. Validation statistics for the external model -- 10.2.4. Overall validation of structural modeling -- 10.3. Material and method -- 10.3.1. Agro-ecological context of the study -- 10.3.2. Data -- 10.3.3. The structural model and the estimation -- 10.4. Results and discussion -- 10.4.1. Checking the block one-dimensionality -- 10.4.2. Fitting the external model and assessing the quality of the fit -- 10.4.3. The structural model after revision -- 10.5. Conclusion -- 10.6. References -- 11. Lean Management as an Improvement Factor in Health Services - The Case of Venizeleio General Hospital of Crete, Greece -- 11.1. Introduction -- 11.2. Theoretical framework -- 11.3. Purpose of the research -- 11.4. Methodology -- 11.5. Research results -- 11.6. Conclusion -- 11.7. References -- 12. Motivation and Professional Satisfaction of Medical and Nursing Staff of Primary Health Care Structures (Urban and Regional Health Centers) of the Prefecture of Heraklion, Under the Responsibility of the 7th Ministry -- 12.1. Introduction -- 12.2. Methodology and material -- 12.2.1. Research tools for measuring motivation and professional -- 12.2.2. Purpose and objectives of the research -- 12.2.3. Material and method -- 12.2.4. Statistical analysis -- 12.3. Results -- 12.4. Discussion -- 12.5. Conclusion -- 12.6. References -- 13. Developing a Bibliometric Quality Indicator for Journals Applied to the Field of Dentistry -- 13.1. Introduction -- 13.2. Methodology -- 13.3. Discussion and conclusion -- 13.4. Acknowledgments -- 13.5. Appendix -- 13.6. References -- 14. Statistical Process Monitoring Techniques for Covid-19 -- 14.1. Introduction -- 14.2. Materials and methods -- 14.3. Behavior of Covid-19 disease in the Mediterranean region -- 14.4. Conclusion.
14.5. Acknowledgments -- 14.6. References -- PART 3 -- 15. Increase of Retirement Age and Health State of Population in Czechia -- 15.1. Introduction -- 15.2. Data and methodological remarks -- 15.3. Statutory retirement age -- 15.4. Development of the state of health of population -- 15.5. Development of the state of health of population in productive and post-productive ages -- 15.6. Conclusion -- 15.7. Acknowledgment -- 15.8. References -- 16. A Generalized Mean Under a Non-Regular Framework and Extreme Value Index Estimation -- 16.1. Introduction -- 16.2. Preliminary results in the area of EVT for heavy tails and asymptotic behavior of MOp functionals -- 16.2.1. A brief review of firstand second-order conditions -- 16.2.2. Asymptotic behavior of the Hill EVI-estimators -- 16.2.3. Asymptotic behavior of MOp EVI-estimators under a regular framework -- 16.2.4. A brief reference to additive stable laws -- 16.2.5. Asymptotic behavior of EVI-estimators under a non-regular framework -- 16.3. Finite-sample behavior of MOp functionals -- 16.4. A non-regular adaptive choice of p and k -- 16.5. Concluding remarks -- 16.6. References -- 17. Demography and Policies in V4 Countries -- 17.1. Introduction -- 17.2. Demographic development in the V4 countries -- 17.3. Development of fertility and family policy -- 17.4. Pension systems of the Visegrad Four countries -- 17.5. Prediction of future development of V4 populations -- 17.6. Conclusion -- 17.7. Acknowledgments -- 17.8. References -- 18. Decomposing Differences in Life Expectancy With and Without Disability: The Case of Czechia -- 18.1. Introduction -- 18.2. Methodology and data -- 18.3. Main results -- 18.3.1. Effect of mortality -- 18.3.2. Effects of mortality and health -- 18.4. Conclusion -- 18.5. Acknowledgments -- 18.6. References.
19. Assessing the Predictive Ability of Subjective Survival Probabilities -- 19.1. Introduction -- 19.1.1. Actual mortality patterns -- 19.1.2. Objectives of the study -- 19.2. Methods -- 19.2.1. Data -- 19.2.2. Force of subjective mortality -- 19.2.3. Variables -- 19.2.4. Statistical modeling -- 19.3. Results -- 19.3.1. Sample -- 19.3.2. Multivariable analyses -- 19.4. Discussion -- 19.5. Conclusion -- 19.6. Acknowledgments -- 19.7. References -- 20. Exploring Excess Mortality During the Covid-19 Pandemic with Seasonal ARIMA Models -- 20.1. Introduction -- 20.2. Binomial mortality model and the empirical distribution of daily deaths in Germany -- 20.3. Non-seasonal ARIMA model for weekly data in Germany -- 20.4. Seasonal ARIMA models of weekly deaths for Spain, Germany and Sweden -- 20.5. Measuring excess mortality, especially in Spain, Germany and Sweden -- 20.6. Forecasting daily deaths in Germany -- 20.7. Conclusion -- 20.8. Appendix -- 20.8.1. Estimation results of the other age classes -- 20.8.2. Time series decomposition -- 20.9. References -- 21. The Impact of Cesarean Section on Neonatal Mortality in Rural-Urban Divisions in a Region of Brazil -- 21.1. Introduction -- 21.2. Materials and methods -- 21.2.1. Multilevel logistic model -- 21.3. Results and discussion -- 21.4. Conclusion -- 21.5. References -- 22. Analysis of Alcohol Policy in Czechia: Estimation of Alcohol Policy Scale Compared to EU Countries -- 22.1. Introduction -- 22.2. Literature review -- 22.3. Methods -- 22.4. Results -- 22.5. Discussion -- 22.6. Conclusion -- 22.7. Acknowledgment -- 22.8. References -- 23. Alcohol-Related Mortality and Its Cause-Elimination in Life Tables in Selected European Countries and USA: An International Comparison -- 23.1. Introduction -- 23.2. Data and methods -- 23.3. Alcohol consumption in European countries by the OECD -- 23.4. Czechia.
23.5. Poland.
Record Nr. UNINA-9910830678503321
Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data mining : concepts and techniques / Jiawei Han, Micheline Kamber
Data mining : concepts and techniques / Jiawei Han, Micheline Kamber
Autore Han, Jiawei
Edizione [2th ed.]
Pubbl/distr/stampa Amsterdam [etc.] : Elsevier : Morgan Kaufmann, [2006]
Descrizione fisica XXVIII, 770 p. : ill. ; 24 cm
Disciplina 005.741
Altri autori (Persone) Kamber, Micheline
Collana The Morgan Kaufmann series in data management systems
Soggetto non controllato DatiAnalisi
ISBN 1-55860-901-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNIPARTHENOPE-000022537
Han, Jiawei  
Amsterdam [etc.] : Elsevier : Morgan Kaufmann, [2006]
Materiale a stampa
Lo trovi qui: Univ. Parthenope
Opac: Controlla la disponibilità qui