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.
Data Analytics for Traditional Chinese Medicine Research / / edited by Josiah Poon, Simon K. Poon
| Data Analytics for Traditional Chinese Medicine Research / / edited by Josiah Poon, Simon K. Poon |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (256 p.) |
| Disciplina |
004
006.312 006.4 502.85 |
| Soggetto topico |
Data mining
Health informatics Pattern recognition Data Mining and Knowledge Discovery Health Informatics Pattern Recognition |
| ISBN | 3-319-03801-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Searching for Evidence in Traditional Chinese Medicine Research: A Review and New Opportunities -- Causal Complexities of TCM Prescriptions: Understanding the underlying mechanisms of herbal formulation -- Medical Diagnosis by Using Machine Learning Techniques -- Network based deciphering of the mechanism of TCM -- Prescription Analysis and Mining -- Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients -- Artificial Neural Network-based Chinese Medicine Diagnosis in Decision Support Manner and Herbal Ingredient Discoveries -- Chromatographic Fingerprinting and Chemometric Techniques for Quality Control of Herb Medicines -- A New Methodology for Uncovering the Bioactive Fractions in Herbal Medicine Using the Approach of Quantitative Pattern-Activity Relationship -- An Innovative and Comprehensive Approach in Studying the Complex Synergistic Interactions Among Herbs in Chinese Herbal Formulae -- Data mining in real-world traditional Chinese medicine clinical data warehouse -- TCM data mining and quality evaluation with SAPHRON(TM) system -- An overview on evidence-based medicine and medical informatics in traditional Chinese medicine practice. |
| Record Nr. | UNINA-9910299045603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New Frontiers in Applied Data Mining [[electronic resource] ] : PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2010. Revised Selected Papers / / edited by Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham Williams
| New Frontiers in Applied Data Mining [[electronic resource] ] : PAKDD 2009 International Workshops, Bangkok, Thailand, April 27-30, 2010. Revised Selected Papers / / edited by Thanaruk Theeramunkong, Cholwich Nattee, Paulo J. L. Adeodato, Nitesh Chawla, Peter Christen, Philippe Lenca, Josiah Poon, Graham Williams |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XII, 169 p. 58 illus.) |
| Disciplina | 006.3/12 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Database management Information storage and retrieval Application software Data mining Pattern recognition Artificial Intelligence Database Management Information Storage and Retrieval Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Pattern Recognition |
| ISBN |
1-280-38812-9
9786613566041 3-642-14640-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The iZi Project: Easy Prototyping of Interesting Pattern Mining Algorithms -- CODE: A Data Complexity Framework for Imbalanced Datasets -- An Empirical Study of Applying Ensembles of Heterogeneous Classifiers on Imperfect Data -- Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains -- Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams -- Two Measures of Objective Novelty in Association Rule Mining -- PAKDD Data Mining Competition 2009: New Ways of Using Known Methods -- Feature Selection for Brain-Computer Interfaces -- Mining Protein Interactions from Text Using Convolution Kernels -- Missing Phrase Recovering by Combining Forward and Backward Phrase Translation Tables -- Automatic Extraction of Thai-English Term Translations and Synonyms from Medical Web using Iterative Candidate Generation with Association Measures -- Accurate Subsequence Matching on Data Stream under Time Warping Distance. |
| Record Nr. | UNISA-996466424903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||