Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Artificial Intelligence Applications to Smart City and Smart Enterprise
| Artificial Intelligence Applications to Smart City and Smart Enterprise |
| Autore | Impedovo Donato |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (374 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
spatio-temporal
residual networks bus traffic flow prediction advance rate shield performance principal component analysis ANFIS-GA tunnel online learning extreme learning machine cyclic dynamics transfer learning knowledge preservation Feature Adaptive optimization Bacterial Foraging algorithm Swarm Intelligence algorithm Isolated Microgrid traffic surveillance video state analysis Grassmann manifold neural network machine-learning quality of life Better Life Index bagging ensemble learning pedestrian attributes surveillance image semantic attributes recognition multi-label learning large-scale database traffic congestion detection minimizing traffic congestion traffic prediction deep learning urban mobility ITS Vehicle-to-Infrastructure neural networks LSTM embeddings trajectories motion behavior smart tourism driver’s behavior detection texting and driving convolutional neural network smart car smart cities smart infotainment driver distraction cameras convolution detection image recognition DSS diabetes prediction homecare assistance information system muti-attribute analysis artificial training dataset machine learning big data data analysis sensors Internet of Things vehicular networks VDTN routing message scheduling traffic flow prediction wavenet TrafficWave RNN GRU SAEs risk assessment neural architecture search recurrent neural network automated driving vehicle decision support system artificial intelligence disaster management Smart city program management integrated model smart city intelligence transportation system computer vision potential pedestrian safety data mining healthcare Apache Spark disease detection symptoms detection Arabic language Saudi dialect high performance computing (HPC) spatial-temporal dependencies traffic periodicity graph convolutional network traffic speed prediction vehicular traffic surveillance video big data analysis autonomous driving life quality pattern recognition |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295703321 |
Impedovo Donato
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies
| Artificial Intelligence Bioinformatics: Development and Application of Tools for Omics and Inter-Omics Studies |
| Autore | Facchiano Angelo |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 electronic resource (175 p.) |
| Soggetto topico |
Science: general issues
Medical genetics |
| Soggetto non controllato |
artificial intelligence
bioinformatics genomics omics inter-omics machine learning data mining proteomics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial Intelligence Bioinformatics |
| Record Nr. | UNINA-9910557253003321 |
|
Facchiano Angelo
|
||
| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics Applications Based On Machine Learning
| Bioinformatics Applications Based On Machine Learning |
| Autore | Chamoso Pablo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
machine learning
metagenomics bioinformatics CTX-M data mining cluster clinical implications diabetes epidemiology forecast PART Decision table Weka real-life patients regression ear detection computer vision convolutional neural network image recognition video analysis gene clustering swarm intelligence biological functions detection informative genes fuel cell hydrogen energy intelligent systems hybrid systems Artificial Neural Networks power management Machine Learning personality assessment gradient boosting Affective Computing transposable elements metrics deep learning detection classification mitochondrial protein bi-directional LSTM plasmodium falciparum Particle Swarm Optimization Harmony Search parameter estimation Arabidopsis thaliana clinical data feature selection genetic programming evolutionary computation dynamic models evolutionary computing derivative-free optimization metabolism glycolysis yeast |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674055503321 |
|
Chamoso Pablo
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computation in Complex Networks
| Computation in Complex Networks |
| Autore | Pizzuti Clara |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
city interaction network
evolution model preferential attachment maximum likelihood chimera states coupled map lattice nilpotent matrix community detection membrane algorithm self-organizing map network complex networks optimization structural balance minimum memory based sign adjustment social networks NW network convergence complex system simulation cloud computing architecture service-oriented modeling semantic search framework QoS-based service selection cascading failures network topology null models SciSci knowledge evolution machine learning bridging centrality disjoint nodes disjunct nodes node similarity overlapping nodes Bayesian networks entropy socio-ecological system complex network chaotic time series Gaussian mixture model maximum mean discrepancy angiogenesis network properties variational inference graph neural network variational autoencoder network embedding online social networks social media information spreading information diffusion cross-entropy cross-domain recommendation sentiment analysis latent sentiment review feature non-linear mapping dissimilarity spaces support vector machines kernel methods computational biology systems biology protein contact networks data mining overlapping communities modularity literary works genre classification stylistic attributes lemmatization renormalisation process network growth inverse preferential attachment language networks language development multilayer complex networks stability spreading control graph neural networks node classification active learning graph representation learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557395103321 |
|
Pizzuti Clara
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Methods for the Analysis of Genomic Data and Biological Processes
| Computational Methods for the Analysis of Genomic Data and Biological Processes |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
HIGD2A
cancer DNA methylation mRNA expression miRNA quercetin hypoxia eQTL CRISPR-Cas9 single-cell clone fine-mapping power RNA N6-methyladenosine site yeast genome methylation computational biology deep learning bioinformatics hepatocellular carcinoma transcriptomics proteomics bioinformatics analysis differentiation Gene Ontology Reactome Pathways gene-set enrichment meta-analysis transcription factor binding sites genomics chilling stress CBF DREB CAMTA1 pathway text mining infiltration tactics optimization algorithm classification clustering microarray ensembles machine learning infiltration computational intelligence gene co-expression network murine coronavirus viral infection immune response data mining systems biology obesity differential genes expression exercise high-fat diet pathways potential therapeutic targets DNA N6-methyladenine Chou's 5-steps rule Convolution Neural Network (CNN) Long Short-Term Memory (LSTM) machine-learning chromatin interactions prediction genome architecture |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557129603321 |
|
Gómez Vela Francisco A
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cyber Security : 18th China Annual Conference, CNCERT 2021, Beijing, China, July 20-21, 2021, Revised Selected Papers
| Cyber Security : 18th China Annual Conference, CNCERT 2021, Beijing, China, July 20-21, 2021, Revised Selected Papers |
| Autore | Lu Wei |
| Pubbl/distr/stampa | Singapore, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (234 pages) |
| Altri autori (Persone) |
ZhangYuqing
WenWeiping YanHanbing LiChao |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer security
Computer networking & communications Coding theory & cryptology Network security Artificial intelligence Software Engineering |
| Soggetto non controllato |
artificial intelligence
authentication computer hardware computer networks computer security computer systems cryptography data communication systems data mining data security databases information retrieval network protocols network security privacy signal processing telecommunication networks telecommunication systems |
| ISBN | 981-16-9229-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522970803321 |
|
Lu Wei
|
||
| Singapore, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cyber Security : 18th China Annual Conference, CNCERT 2021, Beijing, China, July 20-21, 2021, Revised Selected Papers
| Cyber Security : 18th China Annual Conference, CNCERT 2021, Beijing, China, July 20-21, 2021, Revised Selected Papers |
| Autore | Lu Wei |
| Pubbl/distr/stampa | Singapore, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (234 pages) |
| Altri autori (Persone) |
ZhangYuqing
WenWeiping YanHanbing LiChao |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer security
Computer networking & communications Coding theory & cryptology Network security Artificial intelligence Software Engineering |
| Soggetto non controllato |
artificial intelligence
authentication computer hardware computer networks computer security computer systems cryptography data communication systems data mining data security databases information retrieval network protocols network security privacy signal processing telecommunication networks telecommunication systems |
| ISBN | 981-16-9229-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464545403316 |
|
Lu Wei
|
||
| Singapore, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Data Mining / / Jürgen Cleve, Uwe Lämmel
| Data Mining / / Jürgen Cleve, Uwe Lämmel |
| Autore | Cleve Jürgen |
| Edizione | [2., aktual. Aufl.] |
| Pubbl/distr/stampa | München ; ; Wien : , : De Gruyter Oldenbourg, , [2016] |
| Descrizione fisica | 1 online resource (328 pages) : illustrations |
| Disciplina | 006.3/12 |
| Collana | De Gruyter Studium |
| Soggetto topico | Data mining |
| Soggetto non controllato |
Algorithms
KNIME workflow cloud computing data mining |
| ISBN |
3-11-045677-X
3-11-045690-7 |
| Classificazione | ST 530 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto | Frontmatter -- Vorwort -- Inhaltsverzeichnis -- 1. Einführung -- 2. Grundlagen des Data Mining -- 3. Anwendungsklassen -- 4. Wissensrepräsentation -- 5. Klassifikation -- 6. Cluster-Analyse -- 7. Assoziationsanalyse -- 8. Datenvorbereitung -- 9. Bewertung -- 10. Eine Data-Mining-Aufgabe -- Anhang -- Abbildungsverzeichnis -- Tabellenverzeichnis -- Verzeichnis der Symbole -- Verzeichnis der Abkürzungen -- Literaturverzeichnis -- Index |
| Record Nr. | UNINA-9910148796503321 |
|
Cleve Jürgen
|
||
| München ; ; Wien : , : De Gruyter Oldenbourg, , [2016] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910788152303321 |
|
Attewell Paul A. <1949->
|
||
| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan
| Data mining for the social sciences : an introduction / / Paul Attewell and David B. Monaghan |
| Autore | Attewell Paul A. <1949-> |
| Pubbl/distr/stampa | Oakland, California : , : University of California Press, , 2015 |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 006.3/12 |
| Soggetto topico |
Social sciences - Data processing
Social sciences - Statistical methods Data mining |
| Soggetto non controllato |
analyzing data
bayesian networks big data bootstrapping business analytics chaid classification and regression trees classification trees confusion matrix data analysis data mining data processing data scholarship data science hardware for data mining heteroscedasticity naive bayes partition trees permutation tests scholarly data social science social scientists software for data mining statistical methods statistical modeling studying data text mining vif regression weka |
| ISBN |
0-520-28098-9
0-520-96059-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- CONTENTS -- ACKNOWLEDGMENTS -- 1. WHAT IS DATA MINING? -- 2. CONTRASTS WITH THE CONVENTIONAL STATISTICAL APPROACH -- 3. SOME GENERAL STRATEGIES USED IN DATA MINING -- 4. IMPORTANT STAGES IN A DATA MINING PROJECT -- 5. PREPARING TRAINING AND TEST DATASETS -- 6. VARIABLE SELECTION TOOLS -- 7. CREATING NEW VARIABLES -- 8. EXTRACTING VARIABLES -- 9. CLASSIFIERS -- 10. CLASSIFICATION TREES -- 11. NEURAL NETWORKS -- 12. CLUSTERING -- 13. LATENT CLASS ANALYSIS AND MIXTURE MODELS -- 14. ASSOCIATION RULES -- CONCLUSION. Where Next? -- BIBLIOGRAPHY -- NOTES -- INDEX |
| Record Nr. | UNINA-9910814373503321 |
|
Attewell Paul A. <1949->
|
||
| Oakland, California : , : University of California Press, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
