Scalable High Performance Computing for Knowledge Discovery and Data Mining brings together in one place important contributions and up-to-date research results in this fast moving area. Scalable High Performance Computing for Knowledge Discovery and Data Mining serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
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Inside This Book
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First Sentence:
With recent progress in automated data gathering, and the availability of cheap storage, a lot of businesses have routinely started collecting massive amounts of data on various facets of the organization. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
hypergraph cliques, vertical database layout, lattice traversal techniques, composite halo, local database partition, spurious halos, halo finding, maximal frequent itemsets, maximal itemsets, evaporative method, halo number, new parallel algorithms, cube construction, isodensity surfaces, hash tree, cube operator, base cube, primary images, data cube, tree library, simple intersections, dominant eigenvectors, maximal cliques, replication factor, association rules Key Phrases - Capitalized Phrases (CAPs): (learn more)
Current Sales, Count Distribution, Candidate Distribution, History Sales, Halo World, University of Rochester, Kluwer Academic Publishers, Production Cost, Shipping Cost, Technical Report, Aggregate Total, Data Engineering, Intel Paragon, Milky Way, Northwestern University, Parallel Performance, Processors Processors Figure, Research Report New!
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With recent progress in automated data gathering, and the availability of cheap storage, a lot of businesses have routinely started collecting massive amounts of data on various facets of the organization. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
hypergraph cliques, vertical database layout, lattice traversal techniques, composite halo, local database partition, spurious halos, halo finding, maximal frequent itemsets, maximal itemsets, evaporative method, halo number, new parallel algorithms, cube construction, isodensity surfaces, hash tree, cube operator, base cube, primary images, data cube, tree library, simple intersections, dominant eigenvectors, maximal cliques, replication factor, association rules Key Phrases - Capitalized Phrases (CAPs): (learn more)
Current Sales, Count Distribution, Candidate Distribution, History Sales, Halo World, University of Rochester, Kluwer Academic Publishers, Production Cost, Shipping Cost, Technical Report, Aggregate Total, Data Engineering, Intel Paragon, Milky Way, Northwestern University, Parallel Performance, Processors Processors Figure, Research Report New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 8
books:
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cites this book:
- Knowledge Discovery in Databases (Aaai Press Copublications) by Gregory Piatetsky-Shapiro in Front Matter, and page 34
- Computer Engineering by C.Gordon Bell on page 79
- Advances in Knowledge Discovery and Data Mining (American Association for Artificial Intelligence) by Usama M. Fayyad on page 34
- Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)(3rd Edition) by Gene H. Golub on page 52
- Data Mining by Jiawei Han on page 34
See all 8 books this book cites
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