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Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl
| Advances in Intelligent Data Analysis XVIII [[electronic resource] ] : 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings / / edited by Michael R. Berthold, Ad Feelders, Georg Krempl |
| Autore | Berthold Michael |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 588 p. 210 illus., 132 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Data mining Computers Machine learning Computer organization Database Management Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks |
| Soggetto non controllato |
Database Management
Data Mining and Knowledge Discovery Computing Milieux Machine Learning Computer Systems Organization and Communication Networks open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis Databases Database programming Data mining Expert systems / knowledge-based systems Information technology: general issues Machine learning Computer networking & communications |
| ISBN | 3-030-44584-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection of Derivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization. |
| Record Nr. | UNISA-996418219903316 |
Berthold Michael
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Association rule mining : models and algorithms / Chengqi Zhang, Shichao Zhang
| Association rule mining : models and algorithms / Chengqi Zhang, Shichao Zhang |
| Autore | Zhang, Chengqi |
| Pubbl/distr/stampa | Berlin Heidelberg : Springer-Verlag, ©2002 |
| Descrizione fisica | xii, 238 p. ; 24 cm |
| Disciplina | 006.3 |
| Altri autori (Persone) | Zhang, Shichao |
| Collana | Lecture notes in artificial intelligence |
| Soggetto non controllato |
Informatica applicata alla statistica
Data mining |
| ISBN | 3-540-43533-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990008121890403321 |
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Zhang, Chengqi
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| Berlin Heidelberg : Springer-Verlag, ©2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Can the use of factual data analysis strengthen national security? : hearing before the Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census of the Committee on Government Reform, House of Representatives, One Hundre
| Can the use of factual data analysis strengthen national security? : hearing before the Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census of the Committee on Government Reform, House of Representatives, One Hundre |
| Pubbl/distr/stampa | U.S. G.P.O |
| Descrizione fisica | : ill |
| Soggetto non controllato |
National security
Terrorism Data mining Political science Computers |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Can the use of factual data analysis strengthen national security? |
| Record Nr. | UNINA-9910689607203321 |
| U.S. G.P.O | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data and Text Processing for Health and Life Sciences [[electronic resource] /] / by Francisco M. Couto
| Data and Text Processing for Health and Life Sciences [[electronic resource] /] / by Francisco M. Couto |
| Autore | Couto Francisco M |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2019 |
| Descrizione fisica | 1 online resource (XV, 98 p. 483 illus., 74 illus. in color.) |
| Disciplina | 614.5999 |
| Collana | Advances in Experimental Medicine and Biology |
| Soggetto topico |
Cancer research
Human genetics Database management Data mining Cancer Research Human Genetics Database Management Data Mining and Knowledge Discovery |
| Soggetto non controllato |
Medicine
Cancer research Human genetics Database management Data mining |
| ISBN | 3-030-13845-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Resources -- Data Retrieval -- Text Processing -- Semantic processing -- Index. |
| Record Nr. | UNINA-9910337952203321 |
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Couto Francisco M
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| Cham, : Springer Nature, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall
| Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank, Mark A. Hall |
| Autore | Witten, Ian H. |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Amsterdam : Elsevier : Morgan Kaufmann, ©2011 |
| Descrizione fisica | xxxi, 629 p. : ill. ; 24 cm |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Frank, Eibe
Hall, Mark A. |
| Soggetto non controllato |
Intelligenza artificiale
Data mining Estrazione dei dati |
| ISBN | 978-0-12-374856-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990010099240403321 |
| Witten, Ian H. | ||
| Amsterdam : Elsevier : Morgan Kaufmann, ©2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank
| Data mining : practical machine learning tools and techniques / Ian H. Witten, Eibe Frank |
| Autore | Witten, Ian H. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; Boston [Ma.] : Morgan Kaufmann, c2005 |
| Descrizione fisica | xxxi, 525 p. : ill. ; 24 cm |
| Disciplina | 006.3 |
| Altri autori (Persone) | Frank, Eibe |
| Collana | The Morgan Kaufmann series in data management systems |
| Soggetto non controllato |
Basi di dati
Data mining |
| ISBN | 0-12-088407-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990008474970403321 |
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Witten, Ian H.
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| Amsterdam ; Boston [Ma.] : Morgan Kaufmann, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining et statistique décisionnelle : l'intelligence dans les bases de données / Stéphane Tufféry
| Data mining et statistique décisionnelle : l'intelligence dans les bases de données / Stéphane Tufféry |
| Autore | Tufféry, Stéphane |
| Pubbl/distr/stampa | Paris : Editions Technip, ©2005 |
| Descrizione fisica | xviii, 379 p. ; 24 cm |
| Disciplina | 006.3 |
| Soggetto non controllato |
Informatica applicata alla statistica
Data mining |
| ISBN | 2-7108-0867-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Record Nr. | UNINA-990008244990403321 |
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Tufféry, Stéphane
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| Paris : Editions Technip, ©2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Discovering knowledge in data [Risorsa elettronica] : an introduction to data mining / Daniel T. Larose
| Discovering knowledge in data [Risorsa elettronica] : an introduction to data mining / Daniel T. Larose |
| Autore | Larose, Daniel T. |
| Pubbl/distr/stampa | Hoboken, N. J. : Wiley-Interscience, 2004 |
| Disciplina | 006.3 |
| Soggetto non controllato | Data mining |
| ISBN | 9780471687542 |
| Formato | Risorse elettroniche  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-990009796620403321 |
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Larose, Daniel T.
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| Hoboken, N. J. : Wiley-Interscience, 2004 | ||
| Risorse elettroniche | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging research on applied fuzzy sets and intuitionistic fuzzy matrices / / Amal Kumar Adak, Debashree Manna, and Manoranjan Bhowmik, editors
| Emerging research on applied fuzzy sets and intuitionistic fuzzy matrices / / Amal Kumar Adak, Debashree Manna, and Manoranjan Bhowmik, editors |
| Autore | Adak Amal Kumar |
| Pubbl/distr/stampa | Hershey, Pennsylvania : , : IGI Global, , 2017 |
| Descrizione fisica | PDFs (374 pages) : illustrations |
| Disciplina | 511.3/223 |
| Collana | Advances in Computational Intelligence and Robotics |
| Soggetto topico |
Fuzzy sets
Matrices |
| Soggetto non controllato |
Bioinformatics
Data mining Design optimization Forecasting Fuzzy difference equations Fuzzy rings Interval-valued intuitionistic fuzzy sets Machine learning |
| ISBN | 1-5225-0915-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fuzzy sets, intuitionistic fuzzy sets: separation of generalized interval-valued intuitionistic fuzzy sets / Monoranjan Bhowmik, Madhumangal Pal -- Neutrosophic sets and logic / Mumtaz Ali, Florentin Smarandache, Luige Vladareanu -- Interval-valued intuitionistic fuzzy partition matrices / Amal Kumar Adak -- P-F fuzzy rings and normal fuzzy ring: fuzzy ring / Manoj Kumar -- Intutionistic fuzzy difference equation / Sankar Prasad Mondal, Dileep Kumar Vishwakarma, Apu Kumar Saha -- Semiring of generalized interval-valued intuitionistic fuzzy matrices / Debashree Manna -- Classification techniques in data mining: classical and fuzzy classifiers / Ali Hosseinzadeh, S. A. Edalatpanah -- Multiobjective optimization of solar-powered irrigation system with fuzzy type-2 noise modelling / T. Ganesan, Pandian Vasant, I. Elamvazuthi -- Non-linear intuitionistic fuzzy number and its application in partial differential equation / Sankar Prasad Mondal -- Use of fuzzy set theory in DNA sequence comparison and amino acid classification / Subhram Das [and 3 others]. -- On Bipolar Fuzzy B-Subalgebras of B-Algebras / Tapan Senapati -- Decision Making by Using Intuitionistic Fuzzy Rough Set / T. K. Das -- An Efficient Method for Forecasting Using Fuzzy Time Series / Pritpal Singh -- A Three-Level Supply Chain Model with Necessity Measure / Barun Das -- Modified Iterative Methods for Solving Fully Fuzzy Linear Systems / S. A. Edalatpanah. |
| Record Nr. | UNINA-9910153209903321 |
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Adak Amal Kumar
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| Hershey, Pennsylvania : , : IGI Global, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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From Opinion Mining to Financial Argument Mining
| From Opinion Mining to Financial Argument Mining |
| Autore | Chen Chung-Chi |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (102 pages) |
| Altri autori (Persone) |
HuangHen-Hsen
ChenHsin-Hsi |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Natural language & machine translation
Data mining Algorithms & data structures Artificial intelligence Information technology: general issues |
| Soggetto non controllato |
Natural Language Processing (NLP)
Data Mining and Knowledge Discovery Data Structures and Information Theory Artificial Intelligence Computer Applications Data Science Computer and Information Systems Applications Open Access financial opinion mining text mining in finance financial technology application FinTech argument mining in finance opinion quality evaluation numeral understanding Natural language & machine translation Data mining Expert systems / knowledge-based systems Algorithms & data structures Information theory Information technology: general issues |
| ISBN | 981-16-2881-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464443103316 |
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Chen Chung-Chi
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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