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.
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
| 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 |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 610 p. 199 illus.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-642-37453-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 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. |
| Record Nr. | UNISA-996466179803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II / / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II / / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 588 p. 157 illus.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-642-37456-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation -- Product and User Dependent Social Network Models for Recommender Systems -- Learning Representative Nodes in Social Networks -- Tracing Influential Nodes in a Social Network with Competing Information -- ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks -- Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks -- Modeling Social Information Learning among Taxi Drivers -- Mining User Interests from Information Sharing Behaviors in Social Media -- Anonymization for Multiple Released Social Network Graphs -- A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances -- Clustering Patient Medical Records via Sparse Subspace Representation -- A Unified Metric for Categorical and Numerical Attributes in Data Clustering -- An Extension of the Infinite Relational Model Incorporating Interaction between Objects -- Density-Based Clustering Based on Hierarchical Density Estimates -- Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion -- The Role of Hubs in Cross-Lingual Supervised Document Retrieval -- Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters -- Query-Document Relevance Topic Models -- A Two-Stage Approach for Generating Topic Models -- Effective Top-Down Active Learning for Hierarchical Text Classification -- Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression -- Crest: Cluster-based Representation Enrichment for Short Text Classification -- Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions -- An Optimized Cost-Sensitive SVM for Imbalanced Data Learning -- A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification -- Class Based Weighted K-Nearest Neighbor over Imbalance Dataset -- ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning -- Differential Privacy Preserving Spectral Graph Analysis -- Sorted Nearest Neighborhood Clustering for Efficient Private Blocking -- On Linear Refinement of Differential Privacy-Preserving Query Answering -- A Coupled Clustering Approach for Items Recommendation -- Location Recommendation Based on Periodicity of Human Activities and Location Categories -- Top-N Recommendations by Learning User Preference Dynamics -- Semantic Title Evaluation and Recommendation Based on Topic Models -- Video Quality Prediction over Wireless 4G -- A Self-immunizing Manifold Ranking for Image Retrieval -- Low-Rank Matrix Recovery with Discriminant Regularization -- Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval -- One Pass Concept Change Detection for Data Streams -- Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams -- A Concept-Drifting Detection Algorithm for Categorical Evolving Data -- Framework for Storing and Processing Relational Entities in Stream Mining -- Discovering Semantics from Multiple Correlated Time Series Stream -- Matrix Factorization With Aggregated Observations -- An Approach to Identifying False Traces in Process Event Logs -- Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes -- Adaptive Temporal Entity Resolution on Dynamic Databases -- Fuzzy Multi-Sphere Support Vector Data Description. |
| Record Nr. | UNISA-996466191203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining : 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
| Advances in Knowledge Discovery and Data Mining : 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 |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 610 p. 199 illus.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-642-37453-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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 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. |
| Record Nr. | UNINA-9910739482103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II / / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu
| Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II / / edited by Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XXII, 588 p. 157 illus.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data mining
Artificial intelligence Information storage and retrieval Data Mining and Knowledge Discovery Artificial Intelligence Information Storage and Retrieval |
| ISBN | 3-642-37456-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation -- Product and User Dependent Social Network Models for Recommender Systems -- Learning Representative Nodes in Social Networks -- Tracing Influential Nodes in a Social Network with Competing Information -- ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks -- Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks -- Modeling Social Information Learning among Taxi Drivers -- Mining User Interests from Information Sharing Behaviors in Social Media -- Anonymization for Multiple Released Social Network Graphs -- A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances -- Clustering Patient Medical Records via Sparse Subspace Representation -- A Unified Metric for Categorical and Numerical Attributes in Data Clustering -- An Extension of the Infinite Relational Model Incorporating Interaction between Objects -- Density-Based Clustering Based on Hierarchical Density Estimates -- Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion -- The Role of Hubs in Cross-Lingual Supervised Document Retrieval -- Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters -- Query-Document Relevance Topic Models -- A Two-Stage Approach for Generating Topic Models -- Effective Top-Down Active Learning for Hierarchical Text Classification -- Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression -- Crest: Cluster-based Representation Enrichment for Short Text Classification -- Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions -- An Optimized Cost-Sensitive SVM for Imbalanced Data Learning -- A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification -- Class Based Weighted K-Nearest Neighbor over Imbalance Dataset -- ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning -- Differential Privacy Preserving Spectral Graph Analysis -- Sorted Nearest Neighborhood Clustering for Efficient Private Blocking -- On Linear Refinement of Differential Privacy-Preserving Query Answering -- A Coupled Clustering Approach for Items Recommendation -- Location Recommendation Based on Periodicity of Human Activities and Location Categories -- Top-N Recommendations by Learning User Preference Dynamics -- Semantic Title Evaluation and Recommendation Based on Topic Models -- Video Quality Prediction over Wireless 4G -- A Self-immunizing Manifold Ranking for Image Retrieval -- Low-Rank Matrix Recovery with Discriminant Regularization -- Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval -- One Pass Concept Change Detection for Data Streams -- Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams -- A Concept-Drifting Detection Algorithm for Categorical Evolving Data -- Framework for Storing and Processing Relational Entities in Stream Mining -- Discovering Semantics from Multiple Correlated Time Series Stream -- Matrix Factorization With Aggregated Observations -- An Approach to Identifying False Traces in Process Event Logs -- Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes -- Adaptive Temporal Entity Resolution on Dynamic Databases -- Fuzzy Multi-Sphere Support Vector Data Description. |
| Record Nr. | UNINA-9910739478503321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
ASONAM 2014 : proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : Beijing, China, August 17-20, 2014 / / Advances in Social Networks Analysis and Mining 2014 ; editors, Xindong Wu, Martin Ester, Guandong Xu ; ACM Digital Library, contributor
| ASONAM 2014 : proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : Beijing, China, August 17-20, 2014 / / Advances in Social Networks Analysis and Mining 2014 ; editors, Xindong Wu, Martin Ester, Guandong Xu ; ACM Digital Library, contributor |
| Pubbl/distr/stampa | Piscataway NJ : , : IEEE Press, , 2014 |
| Descrizione fisica | 1 online resource (xli, 968 pages) : illustrations |
| Disciplina | 006 |
| Soggetto topico |
Online social networks
Data mining Bioinformatics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910375968703321 |
| Piscataway NJ : , : IEEE Press, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
ASONAM 2017 : proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : Sydney, Australia, 31 July-03 August, 2017 / / editors, Jana Diesner, Elena Ferrari, Guandong Xu
| ASONAM 2017 : proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : Sydney, Australia, 31 July-03 August, 2017 / / editors, Jana Diesner, Elena Ferrari, Guandong Xu |
| Pubbl/distr/stampa | New York : , : ACM, , 2017 |
| Descrizione fisica | 1 online resource (698 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Data mining
Online social networks Big data |
| Soggetto genere / forma | Electronic books. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910375672303321 |
| New York : , : ACM, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
ASONAM 2017 : proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : Sydney, Australia, 31 July-03 August, 2017 / / editors, Jana Diesner, Elena Ferrari, Guandong Xu
| ASONAM 2017 : proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : Sydney, Australia, 31 July-03 August, 2017 / / editors, Jana Diesner, Elena Ferrari, Guandong Xu |
| Pubbl/distr/stampa | New York : , : ACM, , 2017 |
| Descrizione fisica | 1 online resource (698 pages) |
| Disciplina | 006.3 |
| Soggetto topico |
Data mining
Online social networks Big data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996574971203316 |
| New York : , : ACM, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Behavior and Social Computing [[electronic resource] ] : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
| Behavior and Social Computing [[electronic resource] ] : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 265 p. 118 illus.) |
| Disciplina | 303.4833 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Computer communication systems Database management Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Appl. in Social and Behavioral Sciences Computer Communication Networks Database Management |
| ISBN | 3-319-04048-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Behavior/social-oriented analyses including behavioral and social interaction and network -- Behavioral/social patterns -- Behavioral/social impacts.- The formation of behavioral/social-Oriented groups and collective intelligence.- Behavioral/social Intelligence emergence. |
| Record Nr. | UNISA-996465326203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Behavior and Social Computing : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang
| Behavior and Social Computing : International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, Australia, April 14-17, and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers / / edited by Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 265 p. 118 illus.) |
| Disciplina | 303.4833 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Computer communication systems Database management Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval Computer Appl. in Social and Behavioral Sciences Computer Communication Networks Database Management |
| ISBN | 3-319-04048-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Behavior/social-oriented analyses including behavioral and social interaction and network -- Behavioral/social patterns -- Behavioral/social impacts.- The formation of behavioral/social-Oriented groups and collective intelligence.- Behavioral/social Intelligence emergence. |
| Record Nr. | UNINA-9910484236503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Health Information Science [[electronic resource] ] : First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings / / edited by Jing He, Xiaohui Liu, Elizabeth Krupinski, Guandong Xu
| Health Information Science [[electronic resource] ] : First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings / / edited by Jing He, Xiaohui Liu, Elizabeth Krupinski, Guandong Xu |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIII, 187 p. 71 illus.) |
| Disciplina | 005.7 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Application software
Information storage and retrieval Database management Artificial intelligence Computer communication systems Health informatics Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management Artificial Intelligence Computer Communication Networks Health Informatics |
| ISBN | 3-642-29361-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465977003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
