Advances in data management
Data Management is the process of planning, coordinating and controlling data resources. More often, applications need to store and search a large amount of data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances i...
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| Главный автор: | |
|---|---|
| Другие авторы: | , , , |
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Редактирование: | 1st ed. 2009. |
| Серии: | Studies in Computational Intelligence
223 |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in Data Management, Texte imprimé, 9783642021893 • Advances in Data Management, Texte imprimé, 9783642021916 • Advances in Data Management, Texte imprimé, 9783642021893 • Advances in Data Management, Texte imprimé, 9783642261077 |
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| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Ras, Zbigniew W. | |
| 245 | 1 | 0 | |a Advances in data management |c edited by Janusz Kacprzyk, Zbigniew W. Ras, Agnieszka Dardzinska. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 223 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Information Retrieval and Web Intelligence Automatic Index Selection in RDBMS by Exploring Query Execution Plan Space Integrated Retrieval from Web of Documents and Data Bipolar Queries: A Way to Enhance the Flexibility of Database Queries On Deriving Data Summarization through Ontologies to Meet User Preferences Granular Computing for Web Intelligence Knowledge Discovery Visualizing High Dimensional Classifier Performance Data Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes Converting between Various Sequence Representations Considerations on Logical Calculi for Dealing with Knowledge in Data Mining Information Integration and Data Security A Study on Recent Trends on Integration of Security Mechanisms Monitoring-Based Approach for Privacy Data Management Achieving Scalability with Schema-Less Databases Intelligent Agents Managing Pervasive Environments through Database Principles: A Survey Toward a Novel Design of Swarm Robots Based on the Dynamic Bayesian Network Current Research Trends in Possibilistic Logic: Multiple Agent Reasoning, Preference Representation, and Uncertain Databases Data Management in Medical Domain Atherosclerosis Risk Assessment Using Rule-Based Approach Interpretation of Imprecision in Medical Data Promoting Diversity in Top Hits for Biomedical Passage Retrieval | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Data Management is the process of planning, coordinating and controlling data resources. More often, applications need to store and search a large amount of data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances in hardware and computing techniques. This volume focuses on its recent advances and it is composed of five parts and a total of eighteen chapters. The first part of the book contains five contributions in the area of information retrieval & Web intelligence: a novel approach to solving index selection problem, integrated retrieval from Web of documents and data, bipolarity in database querying, deriving data summarization through ontologies, and granular computing for Web intelligence. The second part of the book contains four contributions in knowledge discovery area. Its third part contains three contributions in information integration & data security area. The remaining two parts of the book contain six contributions in the area of intelligent agents and applications of data management in medical domain | ||
| 700 | 1 | |a Dardzinska, Agnieszka. |4 edt | |
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 700 | 1 | |a Dardzinska, Agnieszka, |d 19..- |4 pbd | |
| 700 | 1 | |a Ras, Zbigniew W., |d 1947- |4 pbd | |
| 776 | 0 | |t Advances in Data Management |b Texte imprimé |z 9783642021893 | |
| 776 | 0 | |t Advances in Data Management |b Texte imprimé |z 9783642021916 | |
| 776 | 0 | |t Advances in Data Management |b Texte imprimé |z 9783642021893 | |
| 776 | 0 | |t Advances in Data Management |b Texte imprimé |z 9783642261077 | |
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