| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9911020081403321 |
|
|
Titolo |
Data mining techniques in grid computing environments / / editor, Werner Dubitzky |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Hoboken, NJ, : J. Wiley, 2008 |
|
|
|
|
|
|
|
ISBN |
|
9786611939458 |
9781281939456 |
1281939455 |
9780470699904 |
0470699906 |
9780470699898 |
0470699892 |
|
|
|
|
|
|
|
|
Edizione |
[1st edition] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (290 p.) |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Data mining |
Computational grids (Computer systems) |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Data Mining Techniques in Grid Computing Environments; Contents; Preface; List of Contributors; 1 Data mining meets grid computing: Time to dance?; 1.1 Introduction; 1.2 Data mining; 1.2.1 Complex data mining problems; 1.2.2 Data mining challenges; 1.3 Grid computing; 1.3.1 Grid computing challenges; 1.4 Data mining grid - mining grid data; 1.4.1 Data mining grid: a grid facilitating large-scale data mining; 1.4.2 Mining grid data: analyzing grid systems with data mining techniques; 1.5 Conclusions; 1.6 Summary of Chapters in this Volume; 2 Data analysis services in the knowledge grid |
2.1 Introduction2.2 Approach; 2.3 Knowledge Grid services; 2.3.1 The Knowledge Grid architecture; 2.3.2 Implementation; 2.4 Data analysis services; 2.5 Design of Knowledge Grid applications; 2.5.1 The VEGA visual language; 2.5.2 UML application modelling; 2.5.3 Applications and experiments; 2.6 Conclusions; 3 GridMiner: An advanced support for e-science analytics; 3.1 Introduction; 3.2 Rationale behind the design and development of GridMiner; 3.3 Use Case; 3.4 Knowledge |
|
|
|
|
|
|
|
|
|
|
|
discovery process and its support by the GridMiner; 3.4.1 Phases of knowledge discovery; 3.4.2 Workflow management |
3.4.3 Data management3.4.4 Data mining services and OLAP; 3.4.5 Security; 3.5 Graphical user interface; 3.6 Future developments; 3.6.1 High-level data mining model; 3.6.2 Data mining query language; 3.6.3 Distributed mining of data streams; 3.7 Conclusions; 4 ADaM services: Scientific data mining in the service-oriented architecture paradigm; 4.1 Introduction; 4.2 ADaM system overview; 4.3 ADaM toolkit overview; 4.4 Mining in a service-oriented architecture; 4.5 Mining web services; 4.5.1 Implementation architecture; 4.5.2 Workflow example; 4.5.3 Implementation issues |
4.6 Mining grid services4.6.1 Architecture components; 4.6.2 Workflow example; 4.7 Summary; 5 Mining for misconfigured machines in grid systems; 5.1 Introduction; 5.2 Preliminaries and related work; 5.2.1 System misconfiguration detection; 5.2.2 Outlier detection; 5.3 Acquiring, pre-processing and storing data; 5.3.1 Data sources and acquisition; 5.3.2 Pre-processing; 5.3.3 Data organization; 5.4 Data analysis; 5.4.1 General approach; 5.4.2 Notation; 5.4.3 Algorithm; 5.4.4 Correctness and termination; 5.5 The GMS; 5.6 Evaluation; 5.6.1 Qualitative results; 5.6.2 Quantitative results |
5.6.3 Interoperability5.7 Conclusions and future work; 6 FAEHIM: Federated Analysis Environment for Heterogeneous Intelligent Mining; 6.1 Introduction; 6.2 Requirements of a distributed knowledge discovery framework; 6.2.1 Category 1: knowledge discovery specific requirements; 6.2.2 Category 2: distributed framework specific requirements; 6.3 Workflow-based knowledge discovery; 6.4 Data mining toolkit; 6.5 Data mining service framework; 6.6 Distributed data mining services; 6.7 Data manipulation tools; 6.8 Availability; 6.9 Empirical experiments; 6.9.1 Evaluating the framework accuracy |
6.9.2 Evaluating the running time of the framework |
|
|
|
|
|
|
Sommario/riassunto |
|
Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students inte |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910973345703321 |
|
|
Titolo |
The Development of multiplicative reasoning in the learning of mathematics / / edited by Guershon Harel and Jere Confrey |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Albany, : State University of New York Press, c1994 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (197 p.) |
|
|
|
|
|
|
Collana |
|
SUNY series, reform in mathematics education |
|
|
|
|
|
|
Altri autori (Persone) |
|
HarelGuershon <1952-> |
ConfreyJere |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Mathematics - Study and teaching (Elementary) |
Multiplication |
Division |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and indexes. |
|
|
|
|
|
|
Nota di contenuto |
|
CONTENTS; INTRODUCTION; I: THEORETICAL APPROACHES; 1. Children's Multiplying Schemes by Leslie P. Steffe; 2. Multiplicative Conceptual Field: What and Why? by Gerard Vergnaud; 3. Extending the Meaning of Multiplication and Division by Brian Greer; II: THE ROLE OF THE UNIT; 4. Ratio and Proportion: Cognitive Foundations in Unitizing and Norming by Susan J. Lamon; 5. Units of Quantity: A Conceptual Basis Common to Additive and Multiplicative Structures by Merlyn J. Behr, Guershon Harel, Thomas Post, and Richard Lesh; III: RATIO AND RATE |
6. The Development of the Concept of Speed and Its Relationship to Concepts of Rate by Patrick W. Thompson7. Missing-Value Proportional Reasoning Problems: Factors Affecting Informal Reasoning Patterns by James J. Kaput and Mary Maxwell West; IV: MULTIPLICATIVE WORLDS; 8. Splitting, Similarity, and Rate of Change: A New Approach to Multiplication and Exponential Functions by Jere Confrey; 9. Multiplicative Structures and the Development of Logarithms: What Was Lost by the Invention of Function? by Erick Smith and Jere Confrey; V: INTUITIVE MODELS |
10. The Impact of the Number Type on the Solution of Multiplication and Division Problems: Further Considerations by Guershon Harel, Merlyn Behr, Thomas Post, and Richard LeshVI: SUMMARY; 11. Multiple |
|
|
|
|
|
|
|
|
|
|
|
Views of Multiplicative Structure by Thomas E. Kieren; Index; NAME INDEX; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; S; T; V; W; SUBJECT INDEX; A; B; C; D; E; F; G; H; I; L; M; N; O; P; Q; R; S; T; U; V; W |
|
|
|
|
|
|
Sommario/riassunto |
|
Two of the most important concepts children develop progressively throughout their mathematics education years are additivity and multiplicativity. Additivity is associated with situations that involve adding, joining, affixing, subtracting, separating and removing. Multiplicativity is associated with situations that involve duplicating, shrinking, stressing, sharing equally, multiplying, dividing, and exponentiating. This book presents multiplicativity in terms of a multiplicative conceptual field (MCF), not as individual concepts. It is presented in terms of interrelations and dependencies within, between, and among multiplicative concepts. The authors share the view that research on the mathematical, cognitive, and instructional aspects of multiplicative concepts must be situated in an MCF framework. Guershon Harel is Associate Professor of Mathematics at Purdue University Jere Confrey is Associate Professor of Education at Cornell University. |
|
|
|
|
|
|
|
| |