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[null,"1.","Record Nr.",null,"UNINA990009819990403321"]
[null,null,"Titolo",null,"Forensic case formulation [Risorsa elettronica] / edited by Peter Sturmey and Mary McMurran"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, West Sussex ; Malden, MA : Wiley-Blackwell, 2011"]
[null,null,"ISBN",null,"9781119977018"]
[null,null,"Collana",null,"Wiley series in forensic clinical psychology"]
[null,null,"Disciplina",null,"614.5"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Risorsa elettronica"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISA996464430903316"]
[null,null,"Titolo",null,"Perception, representations, image, sound, music : 14th International Symposium, CMMR 2019, Marseille, France, October 14-18, 2019, revised selected papers / / Richard Kronland-Martinet, Sølvi Ystad, Mitsuko Aramaki (editors)"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-70210-3"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVII, 726 p. 121 illus., 1 illus. in color.)"]
[null,null,"Collana",null,"Lecture notes in computer science ; ; 12631"]
[null,null,"Disciplina",null,"789.9"]
[null,null,"Soggetti",null,"Computer music"]
[{"$nulls":4},"Musical analysis - Data processing"]
[{"$nulls":4},"Information storage and retrieval systems - Music"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Music Information Retrieval - Music, Emotion and Representation -- Computational Musicology -- Audio Signal Processing - Music Structure, Analysis, Synthesis and Composition Tools -- Notation and Instruments Distributed on Mobile Devices -- Auditory Perception and Cognition - From the Ear to the Body -- The Process of Sound Design -- Sonic Interaction for Immersive Media - Virtual and Augmented Reality -- Musical Interaction: Embodiment, Improvisation, Collaboration -- Jean-Claude Risset and Beyond."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019, held in Marseille, France, in October 2019. The 46 full papers presented were selected from 105 submissions. The papers are grouped in 9 sections. The first three sections are related to music information retrieval, computational musicology and composition tools, followed by a section on notations and instruments distributed on mobile devices. The fifth section concerns auditory perception and cognition, while the three following sections are related to sound design and sonic and musical interactions. The last section contains contributions that relate to Jean-Claude Risset's research."]
[null,"3.","Record Nr.",null,"UNINA9910483632703321"]
[null,null,"Titolo",null,"Recent Advances on Soft Computing and Data Mining : Proceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), Melaka, Malaysia, January 22–⁠23, 2020 / / edited by Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"3-030-36056-3"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (491 pages)"]
[null,null,"Collana",null,"Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 978"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Engineering - Data processing"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Data Engineering"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Chapter 1: An Enhanced Model for Digital Reference Services (MDRS) -- Chapter 2: Fuzzy Random Based Mean Variance Model For Agricultural Production Planning -- Chapter 3: Residual Neural Network vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition -- Chapter 4: Incorporating the Markov Chain Model in WBSN for Improving Patients’ Remote Monitoring Systems -- Chapter 5: Designing Deep Neural Network with Chicken Swarm Optimization for Violence Video Classification using VSD2014 Dataset -- Chapter 6: Header Based Email Spam Detection Framework Using Support Vector Machine (SVM) Technique -- Chapter 7: A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Case Study of Medical Surgery Departments -- Chapter 8: Link Bandwidth Recommendation for Indonesian E-Health Grid -- Chapter 9: Investigating the Optimal Parameterization of Deep Neural Network and Synthetic DataWorkflow for Imbalance Liver Disorder Dataset Classification -- Chapter 10: Genetic Algorithm Based Parallel K-Means Data Clustering Algorithm Using MapReduce Programming Paradigm on "]
[{"$nulls":4},"Hadoop Environment (GAPKCA) -- Chapter 11: Android Botnet Detection by Classification Techniques."]
[null,null,null,"Sommario/riassunto","This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used."]