Confined granular flow in silos : experimental and numerical investigations / / Jacek Tejchman

• Record Nr.: UNINA9910437770703321
• Autore: Jacek Tejchman
• Pubbl/distr/stampa: Cham [Germany] ; ; New York, : Springer, 2013
• ISBN: 3-319-00318-6
• Edizione: [1st ed. 2013.]
• Descrizione fisica: 1 online resource (502 p.)
• Collana: Springer series in geomechanics and geoengineering, , 1866-8755
• Disciplina: 671.37
• Soggetti: Silos; Bulk solids flow; Granular materials
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Literature overview -- Analytical and standard approaches to silos -- Continuum models to bulks solids -- Model silo tests -- Large scale silo tests -- FE results within enhanced elasto-plasticity -- FE results within enhanced hypoplasticity -- Simulations of flow pattern with cellular automata.
• Sommario/riassunto: During confined flow of bulk solids in silos some characteristic phenomena can be created, such as: — sudden and significant increase of wall stresses, — different flow patterns, — formation and propagation of wall and interior shear zones, — fluctuation of pressures and, — strong autogenous dynamic effects. These phenomena have not been described or explained in detail yet. The main intention of the experimental and theoretical research presented in this book is to explain the above mentioned phenomena in granular bulk solids and to describe them with numerical FE models verified by experimental results.

Action rules mining / / Agnieszka Dardzinska

• Record Nr.: UNINA9910739418703321
• Autore: Dardzinska Agnieszka
• Pubbl/distr/stampa: Berlin ; ; New York, : Springer, c2013
• ISBN: 9783642356506; 3642356508
• Edizione: [1st ed. 2013.]
• Descrizione fisica: 1 online resource (X, 98 p.)
• Collana: Studies in computational intelligence, , 1860-949X ; ; 468
• Disciplina: 006.3/12
• Soggetti: Data mining; Association rule mining
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 1. Introduction -- ; 2. Information Systems -- ; 2.1. Types of Information Systems -- ; 2.2. Types of Incomplete Information Systems -- ; 2.3. Simple Query Language -- ; 2.3.1. Standard Interpretation of Queries in Complete Information Systems -- ; 2.3.2. Standard Interpretation of Queries in Incomplete Information Systems -- ; 2.4. Rules -- ; 2.5. Distributed Information Systems -- ; 2.6. Decision Systems -- ; 2.7. Partially Incomplete Information Systems -- ; 2.8. Extracting Classification Rules -- ; 2.8.1. Attribute Dependency and Coverings -- ; 2.8.2. System LERS -- ; 2.8.3. Algorithm for Finding the Set of All Coverings (LEM1) -- ; 2.8.4. Algorithm LEM2 -- ; 2.8.5. Algorithm for Extracting Rules from Incomplete -- ; Decision System (ERID) -- ; 2.9. Chase Algorithms -- ; 2.9.1. Tableaux Systems and Chase -- ; 2.9.2. Handling Incomplete Values Using CHASE1 Algorithm -- ; 2.9.3. Handling Incomplete Values Using CHASE2 Algorithm -- ; X Contents -- ; 3. ActionRules -- ; 3.1. Main Assumptions -- ; 3.2. Action Rules from Classification Rules -- ; 3.2.1. System DEAR -- ; 3.2.2. System DEAR2 -- ; 3.3. E-action Rules -- ; 3.3.1. ARAS Algorithm. -- ; 3.4. Action Rules Tightly Coupled Framework -- ; 3.5. Cost and Feasibility. -- ; 3.6. Association Action Rules -- ; 3.6.1. Frequent Action Sets -- ; 3.7. Representative Association Action Rules -- ; 3.8. Simple Association Action Rules -- ; 3.9. Action Reducts -- ; 3.9.1. Experiments and Testing -- ; 3.10. Meta-action -- ; 3.10.1. ; Discovering Action Paths.
• Sommario/riassunto: We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision making. Data analysts in many disciplines such as business, education or medicine, are frequently asked to analyze new data sets which are often composed of numerous tables possessing different properties. They try to find completely new correlations between attributes and show new possibilities for users. Action rules mining discusses some of data mining and knowledge discovery principles and then describe representative concepts, methods and algorithms connected with action. The author introduces the formal definition of action rule, notion of a simple association action rule and a representative action rule, the cost of association action rule, and gives a strategy how to construct simple association action rules of a lowest cost. A new approach for generating action rules from datasets with numerical attributes by incorporating a tree classifier and a pruning step based on meta-actions is also presented. In this book we can find fundamental concepts necessary for designing, using and implementing action rules as well. Detailed algorithms are provided with necessary explanation and illustrative examples.