Advances in knowledge discovery and data mining : 11th Pacific-Asia conference, PAKDD 2007, Nanjing, China, May 22-25, 2007 ; proceedings / / Qiang Yang; Zhi-Hua Zhou; Hang Li |
Edizione | [1st ed. 2007.] |
Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
Descrizione fisica | 1 online resource (1183 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Database searching
Data mining Database management |
ISBN |
1-280-94403-X
9786610944033 3-540-71701-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Speeches -- Regular Papers -- Short Papers. |
Record Nr. | UNISA-996465629403316 |
Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Advances in knowledge discovery and data mining : 11th Pacific-Asia conference, PAKDD 2007, Nanjing, China, May 22-25, 2007 ; proceedings / / Qiang Yang; Zhi-Hua Zhou; Hang Li |
Edizione | [1st ed. 2007.] |
Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
Descrizione fisica | 1 online resource (1183 p.) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Database searching
Data mining Database management |
ISBN |
1-280-94403-X
9786610944033 3-540-71701-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Speeches -- Regular Papers -- Short Papers. |
Record Nr. | UNINA-9910768433203321 |
Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data mining for biomedical applications : PAKDD 2006 workshop, BioDM 2006, Singapore, April 9, 2006 : proceedings / / Jinyan Li, Qiang Yang, Ah-Hwee Tan (eds.) |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, : Springer, c2006 |
Descrizione fisica | 1 online resource (VIII, 155 p.) |
Disciplina | 610.285 |
Altri autori (Persone) |
LiJinyan, Ph. D.
YangQiang <1961-> TanAh-Hwee |
Collana |
LNCS sublibrary. SL 8, Bioinformatics
Lecture notes in computer science,Lecture notes in bioinformatics |
Soggetto topico |
Medical informatics
Data mining Artificial intelligence - Medical applications |
ISBN | 3-540-33105-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Talk -- Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions -- Database and Search -- A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry -- Filtering Bio-sequence Based on Sequence Descriptor -- Automatic Extraction of Genomic Glossary Triggered by Query -- Frequent Subsequence-Based Protein Localization -- Bio Data Clustering -- gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data -- Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits -- A Novel Clustering Method for Analysis of Gene Microarray Expression Data -- Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results -- In-silico Diagnosis -- Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra -- Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles -- Generation of Comprehensible Hypotheses from Gene Expression Data -- Classification of Brain Glioma by Using SVMs Bagging with Feature Selection -- Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction -- Informative MicroRNA Expression Patterns for Cancer Classification. |
Altri titoli varianti |
PAKDD 2006 workshop, BioDM
BioDM 2006 |
Record Nr. | UNINA-9910767587903321 |
Berlin, : Springer, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Federated learning : privacy and incentive / / edited by Qiang Yang, Lixin Fan, and Han Yu |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (X, 286 p. 94 illus., 82 illus. in color.) |
Disciplina | 006.31 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Federated database systems
Application software Machine learning |
ISBN | 3-030-63076-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Privacy -- Threats to Federated Learning -- Rethinking Gradients Safety in Federated Learning -- Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks -- Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning -- Large-Scale Kernel Method for Vertical Federated Learning -- Towards Byzantine-resilient Federated Learning via Group-wise Robust Aggregation -- Federated Soft Gradient Boosting Machine for Streaming Data -- Dealing with Label Quality Disparity In Federated Learning -- Incentive -- FedCoin: A Peer-to-Peer Payment System for Federated Learning -- Efficient and Fair Data Valuation for Horizontal Federated Learning -- A Principled Approach to Data Valuation for Federated Learning -- A Gamified Research Tool for Incentive Mechanism Design in Federated Learning -- Budget-bounded Incentives for Federated Learning -- Collaborative Fairness in Federated Learning -- A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning -- Applications -- Federated Recommendation Systems -- Federated Learning for Open Banking -- Building ICU In-hospital Mortality Prediction Model with Federated Learning -- Privacy-preserving Stacking with Application to Cross-organizational Diabetes Prediction. . |
Record Nr. | UNINA-9910427668503321 |
Cham, Switzerland : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Federated learning : privacy and incentive / / edited by Qiang Yang, Lixin Fan, and Han Yu |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (X, 286 p. 94 illus., 82 illus. in color.) |
Disciplina | 006.31 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Federated database systems
Application software Machine learning |
ISBN | 3-030-63076-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Privacy -- Threats to Federated Learning -- Rethinking Gradients Safety in Federated Learning -- Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks -- Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning -- Large-Scale Kernel Method for Vertical Federated Learning -- Towards Byzantine-resilient Federated Learning via Group-wise Robust Aggregation -- Federated Soft Gradient Boosting Machine for Streaming Data -- Dealing with Label Quality Disparity In Federated Learning -- Incentive -- FedCoin: A Peer-to-Peer Payment System for Federated Learning -- Efficient and Fair Data Valuation for Horizontal Federated Learning -- A Principled Approach to Data Valuation for Federated Learning -- A Gamified Research Tool for Incentive Mechanism Design in Federated Learning -- Budget-bounded Incentives for Federated Learning -- Collaborative Fairness in Federated Learning -- A Game-Theoretic Framework for Incentive Mechanism Design in Federated Learning -- Applications -- Federated Recommendation Systems -- Federated Learning for Open Banking -- Building ICU In-hospital Mortality Prediction Model with Federated Learning -- Privacy-preserving Stacking with Application to Cross-organizational Diabetes Prediction. . |
Record Nr. | UNISA-996418217803316 |
Cham, Switzerland : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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PRICAI 2006 : trends in artificial intelligence : 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006 : proceedings / / Qiang Yang, Geoff Webb (eds.) |
Edizione | [1st ed. 2006.] |
Pubbl/distr/stampa | Berlin, : Springer, c2006 |
Descrizione fisica | 1 online resource (XXVIII, 1263 p. Also available online.) |
Disciplina | 006.3 |
Altri autori (Persone) |
YangQiang <1961->
WebbGeoffrey I |
Collana |
Lecture notes in computer science. Lecture notes in artificial intelligence
LNCS sublibrary. SL 7, Artificial intelligence |
Soggetto topico | Artificial intelligence |
ISBN | 3-540-36668-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Keynote Speech -- Regular Papers -- Computer Vision -- Short Papers Part -- Natural Language Processing and Speech Recognition -- Computer Vision -- Perception and Animation -- Evolutionary Computing -- Industrial Applications -- Short Papers Part -- Automated Reasoning -- Evolutionary Computing -- Game -- Machine Learning and Data Mining -- Industrial Applications -- Information Retrieval -- Natural Language Processing -- Neural Networks -- Computer Vision. |
Altri titoli varianti |
Trends in artificial intelligence
9th Pacific Rim International Conference on Artificial Intelligence Ninth Pacific Rim International Conference on Artificial Intelligence |
Record Nr. | UNINA-9910484412503321 |
Berlin, : Springer, c2006 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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