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1. |
Record Nr. |
UNINA990003098740403321 |
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Autore |
Antiseri, Dario <1940- > |
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Titolo |
L 'individualismo metodologico : una polemica sul mestiere dello scienziato sociale / Dario Antiseri, Luciano Pellicani |
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Pubbl/distr/stampa |
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Milano : Franco Angeli, 1992 |
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ISBN |
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Descrizione fisica |
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Collana |
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Produzione e riproduzione sociale , Tematizzazioni ; 2 |
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Altri autori (Persone) |
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Pellicani, Luciano <1939- > |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNISA996466179803316 |
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Titolo |
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I / / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XXII, 610 p. 199 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 7818 |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence |
Information storage and retrieval |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Information Storage and Retrieval |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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International conference proceedings. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Discovering Local Subgroups, with an Application to Fraud Detection -- PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data -- Frequent Pattern Mining in Attributed Trees -- Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs -- ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences -- Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data -- Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis -- F-Trail: Finding Patterns in Taxi Trajectories -- Mining Appliance Usage Patterns in Smart Home Environment -- Computational Models of Stress in Reading Using Physiological and Physical Sensor Data -- Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine -- MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation -- Fast and Effective Single Pass Bayesian Learning -- Sparse Reductions for Fixed-Size Least Squares |
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Support Vector Machines on Large Scale Data -- Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph -- Spectral Decomposition for Optimal Graph Index Prediction -- Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model -- Node Classification in Social Network via a Factor Graph Model -- Fast Graph Stream Classification Using Discriminative Clique Hashing -- Mining Interesting Itemsets in Graph Datasets -- Robust Synchronization-Based Graph Clustering -- Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors -- Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection -- EEG-Based Person Verification Using Multi-Sphere SVDD and UBM -- Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula -- Mining Representative Movement Patterns through Compression -- NARGES: Prediction Model for Informed Routing in a Communications Network -- Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction -- Leveraging Hybrid Citation Context for Impact Summarization -- Optimal Allocation of High Dimensional Assets through Canonical Vines -- Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition -- An Optimization Method for Proportionally Diversifying Search Results -- Joint Naıve Bayes and LDA for Unsupervised Sentiment Analysis -- An Unsupervised Learning Model to Perform Side Channel Attack -- Decisive Supervised Learning -- Learning Overlap Optimization for Domain Decomposition Methods -- CLUEKR : CLUstering Based Efficient kNN Regression -- AREM: A Novel Associative Regression Model Based on EM Algorithm -- One-Class Transfer Learning with Uncertain Data -- Time Series Forecasting Using Distribution Enhanced Linear Regression -- Twin Bridge Transfer Learning for Sparse Collaborative Filtering -- Dimensionality Reduction with Dimension Selection -- Multi-View Visual Classification via a Mixed-Norm Regularizer -- Mining Specific Features for Acquiring User Information Needs -- Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning -- Exploring Groups from Heterogeneous Data via Sparse Learning -- Multiplex Topic Models -- Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network -- Learning from Multiple Observers with Unknown Expertise. |
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Sommario/riassunto |
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The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation. |
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3. |
Record Nr. |
UNINA9910735795903321 |
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Autore |
Hunter Tim B. |
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Titolo |
The Barnard Objects: Then and Now / / by Tim B. Hunter, Gerald O. Dobek, James E. McGaha |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (377 pages) |
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Collana |
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The Patrick Moore Practical Astronomy Series, , 2197-6562 |
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Disciplina |
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Soggetti |
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Astronomy |
Physics - History |
Science - History |
Photography |
Astronomy, Observations and Techniques |
History of Physics and Astronomy |
History of Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Nebulae: an overview -- Chapter 3. Astronomical Catalogs: an overview -- Chapter 4. Barnard and his photography -- Chapter 5. Visual Observation of the Barnard Objects -- Chapter 6. Modern Imaging of the Barnard Objects -- Chapter 7. Selected Barnard Objects -- Chapter 8. The Missing Barnard Objects -- Chapter 9. The Barnard Objects Now. |
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Sommario/riassunto |
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The Barnard Objects have fascinated professional and amateur astronomers for over one hundred years. Many of those objects first imaged by E.E. Barnard on black-and-white photographic plates are now being captured daily in thousands of color astrophotographs. This book tells of Barnard’s story; describing his life and work as well as how the fields of astronomy and astrophotography have transformed ever since. The chapters in this book are equal parts history and science. It will provide readers with an introduction to nebula science and the incredible discoveries made in this field over the decades; including an overview of popular astronomical catalogues and a |
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detailed look at how astronomical imaging has advanced since Barnard’s time, from early plates to digital imaging and chips. In addition, the book features a comprehensive guide to viewing and imaging these objects yourself. A glossary of astronomical and photographic terms is provided, along with detailed references.And, an updated table displaying the locations of these Barnard Objects; including the missing twenty-five objects from E.E. Barnard’s original catalogue. Richly researched and illustrated, this fascinating reference will attract astronomers of all skill levels interested in astrophotography and how it has changed over the past hundred years. |
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