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Algorithms from and for nature and life : classification and data analysis / / Berthold Lausen, Dirk Van den Poel, Alfred Ultsch, editors
| Algorithms from and for nature and life : classification and data analysis / / Berthold Lausen, Dirk Van den Poel, Alfred Ultsch, editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham, : Springer, 2013 |
| Descrizione fisica | 1 online resource (532 p.) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
LausenBerthold
PoelDirk Van den UltschAlfred |
| Collana | Studies in classification, data analysis, and knowledge organization |
| Soggetto topico |
Statistics
Classification Information storage and retrieval systems |
| ISBN | 3-319-00035-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. I. Invited -- pt. II. Clustering and unsupervised learning -- pt. III. Statistical data analysis, visualization and scaling -- pt. IV. Bioinformatics and biostatistics -- pt. V. Archaeology and geography, psychology and educational sciences -- pt. VI. Text mining, social networks and clustering -- pt. VII. Banking and finance -- pt. VIII. Marketing and management -- pt. IX. Music classification workshop. |
| Record Nr. | UNINA-9910438031003321 |
| Cham, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent
| Classification and Data Science in the Digital Age / / edited by Paula Brito, José G. Dias, Berthold Lausen, Angela Montanari, Rebecca Nugent |
| Autore | Brito Paula |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2023 |
| Descrizione fisica | 1 online resource (393 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
DiasJosé G
LausenBerthold MontanariAngela NugentRebecca |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Artificial intelligence - Data processing
Machine learning Data mining Multivariate analysis Statistics - Computer programs Data Science Statistical Learning Machine Learning Data Mining and Knowledge Discovery Multivariate Analysis Statistical Software Intel·ligència artificial Aprenentatge automàtic Mineria de dades Anàlisi multivariable |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-09034-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- R. Abdesselam: A Topological Clustering of Individuals -- C. Anton and I. Smith: Model Based Clustering of Functional Data with Mild Outliers -- F. Antonazzo and S. Ingrassia: A Trivariate Geometric Classification of Decision Boundaries for Mixtures of Regressions -- E. Arnone, E. Cunial, and L. M. Sangalli: Generalized Spatio-temporal Regression with PDE Penalization -- R. Ascari and S. Migliorati: A New Regression Model for the Analysis of Microbiome Data -- R. Aschenbruck, G. Szepannek, and A. F. X. Wilhelm: Stability of Mixed-type Cluster Partitions for Determination of the Number of Clusters -- A. Ashofteh and P. Campos: A Review on Official Survey Item Classification for Mixed-Mode Effects Adjustment -- V. Batagelj: Clustering and Blockmodeling Temporal Networks – Two Indirect Approaches -- R. Boutalbi, L. Labiod, and M. Nadif: Latent Block Regression Model -- N. Chabane, M. Achraf Bouaoune, R. Amir Sofiane Tighilt, B. Mazoure, N. Tahiri, and V. Makarenkov: Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendations -- T. Chadjipadelis and S. Magopoulou: COVID-19 Pandemic: a Methodological Model for the Analysis of Government’s Preventing Measures and Health Data Records -- J. Champagne Gareau, É. Beaudry, and V. Makarenkov: pcTVI: Parallel MDP Solver Using a Decomposition into Independent Chains -- C. Di Nuzzo and S. Ingrassia: Three-way Spectral Clustering -- J. Dobša and H. A. L. Kiers: Improving Classification of Documents by Semi-supervised Clustering in a Semantic Space -- J. Gama: Trends in Data Stream Mining -- L. A. García-Escudero, A. Mayo-Iscar, G. Morelli, and M. Riani: Old and New Constraints in Model Based Clustering -- V. G Genova, G. Giordano, G . Ragozini, and M. Prosperina Vitale: Clustering Student Mobility Data in 3-way Networks -- R. Giubilei: Clustering Brain Connectomes Through a Density-peak Approach -- T. Górecki, M. Šuczak, and P. Piasecki: Similarity Forest for Time Series Classification -- K. Hayashi, E. Hoshino, M. Suzuki, E. Nakanishi, K. Sakai, and M. Obatake: Detection of the Biliary Atresia Using Deep Convolutional Neural Networks Based on Statistical Learning Weights via Optimal Similarity and Resampling Methods -- Ch. Hennig: Some Issues in Robust Clustering -- J. Kalina and P. Janá£ek: Robustness Aspects of Optimized Centroids -- L. Labiod and M. Nadif: Data Clustering and Representation Learning Based on Networked Data -- Lazhar Labiod and Mohamed Nadif: Towards a Bi-stochastic Matrix Approximation of k-means and Some Variants -- A. LaLonde, T. Love, D. R. Young, and T. Wu: Clustering Adolescent Female Physical Activity Levels with an Infinite Mixture Model on Random Effects -- Á. López-Oriona, J. A. Vilar, and P. D’Urso: Unsupervised Classification of Categorical Time Series Through Innovative Distances -- D. Masís, E. Segura, J. Trejos, and A. Xavier: Fuzzy Clustering by Hyperbolic Smoothing -- R. Meng, H. K. H. Lee, and K. Bouchard: Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Networks -- H. Duy Nguyen, F. Forbes, G. Fort, and O. Cappé: An Online Minorization-Maximization Algorithm -- L. Palazzo and R. Ievoli: Detecting Differences in Italian Regional Health Services During Two Covid-19 Waves -- G. Panagiotidou and T. Chadjipadelis: Political and Religion Attitudes in Greece: Behavioral Discourses -- K. Pawlasová, I. Karafiátová, and J. Dvořák: Supervised Classification via Neural Networks for Replicated Point Patterns -- G. Perrone and G. Soffritti: Parsimonious Mixtures of Seemingly Unrelated Contaminated Normal Regression Models -- N. Pronello, R. Ignaccolo, L. Ippoliti, and S. Fontanella: Penalized Model-based Functional Clustering: a Regularization Approach via Shrinkage Methods -- D. Rodrigues, L. P. Reis, and B. M. Faria: Emotion Classification Based on Single Electrode Brain Data: Applications for Assistive Technology -- R. Scimone, A. Menafoglio, L. M. Sangalli, and P. Secchi: The Death Process in Italy Before and During the Covid-19 Pandemic: a Functional Compositional Approach -- O. Silva, Á. Sousa, and H. Bacelar-Nicolau: Clustering Validation in the Context of Hierarchical Cluster Analysis: an Empirical Study -- C. Silvestre, M. G. M. S. Cardoso, and M. Figueiredo: An MML Embedded Approach for Estimating the Number of Clusters -- Á. Sousa, O. Silva, M. Graça Batista, S. Cabral, and H. Bacelar-Nicolau: Typology of Motivation Factors for Employees in the Banking Sector: An Empirical Study Using Multivariate Data Analysis Methods -- J. Michael Spoor, J. Weber, and J. Ovtcharova: A Proposal for Formalization and Definition of Anomalies in Dynamical Systems -- N. Tahiri and A. Koshkarov: New Metrics for Classifying Phylogenetic Trees Using -means and the Symmetric Difference Metric -- S. D. Tomarchio: On Parsimonious Modelling via Matrix-variate t Mixtures -- G. Zammarchi, M. Romano, and C. Conversano: Evolution of Media Coverage on Climate Change and Environmental Awareness: an Analysis of Tweets from UK and US Newspapers. |
| Record Nr. | UNINA-9910768481303321 |
Brito Paula
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| Cham, : Springer Nature, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science, Learning by Latent Structures, and Knowledge Discovery / / edited by Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer
| Data Science, Learning by Latent Structures, and Knowledge Discovery / / edited by Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (552 p.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Marketing Psychometrics Biometry Data mining Operations research Decision making Statistics, general Biostatistics Data Mining and Knowledge Discovery Operations Research/Decision Theory |
| ISBN | 3-662-44983-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Invited Papers: Modernising Official Statistics - A Complex Challenge -- A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity -- Finding the Number of Disparate Clusters with Background Contamination -- Clustering of Solar Irradiance -- Part II Data Science and Clustering: Factor Analysis of Local Formalism -- Recent progress in Complex Network Analysis – Models -- Recent Progress in Complex Network Analysis – Results -- Similarity Measures of Concept Lattices -- Flow-Based Dissimilarities: Shortest Path, Commute Time, Max-Flow and Free Energy -- Resampling Techniques in Cluster Analysis – Is Subsampling Better Than Bootstrapping? -- On-Line Clustering of Functional Boxplots for Monitoring Multiple Streaming Time Series -- Smooth Tests of Fit for Gaussian Mixtures -- Part III Machine Learning and Knowledge Discovery: P2P RVM for Distributed Classification -- Selecting a Multi-Label Classification Method for an Interactive System -- Visual Analysis of Topics in Twitter Based on Co-Evolution of Terms -- Incremental Weighted Naive Bayes Classifiers for Data Stream -- SVM Ensembles are Better When Different Kernel Types are Combined -- Part IV Data Analysis in Marketing: Ratings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices -- A Statistical Software Package for Image Data Analysis in Marketing -- The Bass Model as Integrative Diffusion Model - A Comparison of Parameter Influences -- Preference Measurement in Complex Product Development – A Comparison of Two-Staged SEM Approaches -- Combination of Distances and Image Features for Clustering Image Data Bases -- A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions -- Key Success-Determinants of Crowdfunded Projects – An Exploratory Analysis -- Preferences Interdependence among Family Members – Case III/APIM Approach -- Part V Data Analysis in Biostatistics and Bioinformatics: Evaluation for Cell Line Suitability for Disease Specific Perturbation Experiments -- Effect of Hundreds Sequenced Genomes on the Classification of Human Papilloma Viruses -- Donor Limited Hot Deck Imputation – A Constrained Optimization Problem -- Classification and Data Set Analysis Using Ensembles of Representative Prototype Sets -- Event Prediction in Pharyngeal High-Resolution Manometry -- Edge Selection in a Noisy Graph by Concept Analysis – Application to a Genomic Network -- Part VI Data Analysis in Education and Psychology: Linear Modelling of Differences in Teacher Judgment Formation of School Tracking Recommendations -- Psychometric Challenges in Modeling Scientific Problem-Solving Competency – An Item Response Theory Approach -- The Luxembourg Teacher Databank 1845-1939. Academic Research into the Social History of the Luxembourg Primary School Teaching Staff -- Part VII Data Analysis in Musicology: Correspondence Analysis, Cross-Autocorrelation and Clustering in Polyphonic Music -- Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition -- Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features -- Part VIII Data Analysis in Communication and Technology: What is in a Like? Preference Aggregation on the Social Web -- Predicting Micro-Level Behavior in Online Communities for Risk Management -- Human Performance Profiling While Driving a Sidestick-Controlled Car -- Multivariate Landing Page Optimization Using Hierarchical Bayes CBC Analysis -- Hellinger Distance Based Feature Construction with Applications to the FACT Experiment -- Part IX Data Analysis in Administration and Spatial Planning: Hough Transform and Kirchhoff Migration for Supervised GPR Data Analysis -- Application of Hedonic Methods in Modelling Real Estate Prices in Poland -- Smart Growth Path as the Basis for the European Union Countries Typology -- The Influence of Upper Level NUTS on Lower Level Classification of EU Regions -- Part X Data Analysis in Library Science: Multilingual Subject Retrieval – Bibliotheca Alexandrina’s Subject Authority File and Linked Subject Data -- The VuFind Based "MT-Katalog" – A Customized Music Library Service at the University of Music and Drama Leipzig. |
| Record Nr. | UNINA-9910299767703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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