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| Contributors | ||
| Foreword | ||
| Preface | ||
| Distributed and Parallel Data Mining: A Brief Introduction | ||
| 1 | Distributed Data Mining: Scaling Up and Beyond | 3 |
| 2 | Scalable Data Mining through Fine-Grained Parallelism: the Present and the Future | 29 |
| 3 | Meta-learning in Distributed Data Mining Systems: Issues and Approaches | 81 |
| 4 | Distributed Classification with Knowledge Probing: A New Framework for Distributed Data Mining | 115 |
| 5 | Collective Data Mining: A New Perspective Toward Distributed Data Mining | 133 |
| 6 | Robust Order Statistics-based Ensembles for Distributed Data Mining | 185 |
| 7 | Efficient Mining of Association Rules under Inequality Constraints in Distributed Databases | 211 |
| 8 | Facilitating Data Mining on a Network of Workstations | 233 |
| 9 | The Preliminary Design of Papyrus: A System for High Performance, Distributed Data Mining over Clusters | 259 |
| 10 | Secure Distributed Database Mining: Principles of Design | 277 |
| 11 | Data Quality in Distributed Environments | 295 |
| 12 | Parallel Out-of-Core Decision Tree Classifiers | 319 |
| 13 | Hierarchical Parallel Algorithms for Association Mining | 339 |
| 14 | Parallel Classification on Shared Memory Systems | 377 |
| 15 | Distributed and Parallel Data Mining: Emergence, Growth, and Future Directions | 409 |
| Bibliography | 417 | |
| Index | 451 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Damon Anker
reviewed Advances in Distributed and Parallel Knowledge Discovery on May 28, 2017
Advances in Distributed and Parallel Knowledge Discovery
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Add Advances in Distributed and Parallel Knowledge Discovery, foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. The emergence of network-based distributed computing environments has , Advances in Distributed and Parallel Knowledge Discovery to the inventory that you are selling on WonderClubX
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Add Advances in Distributed and Parallel Knowledge Discovery, foreword by Vipin Kumar Knowledge discovery and data mining (KDD) deals with the problem of extracting interesting associations, classifiers, clusters, and other patterns from data. The emergence of network-based distributed computing environments has , Advances in Distributed and Parallel Knowledge Discovery to your collection on WonderClub |
