Handbook of Massive Data Sets (Hardcover, 2002)

Preface. Part I: Internet and the World Wide Web. 1. Algorithmic Aspects of Information Retrieval on the Web; A. Broder, M. Henzinger. 2. High-Performance Web Crawling; M. Najork, A. Heydon. 3. Internet Growth: Is There a `Moore's Law' for Data Traffic? K.G. Coffman, A.M. Odlyzko. Part II: Massive Graphs. 4. Random Evolution in Massive Graphs; W. Aiello, et al. 5. Property Testing in Massive Graphs; O. Goldreich. Part III: String Processing and Data Compression. 6. String Pattern Matching for a Deluge Survival Kit; A. Apostolico, M. Crochemore. 7. Searching Large Text Collections; R. Baeza-Yates, et al. 8. Data Compression; D. Salomon. Part IV: External Memory Algorithms and Data Structures. 9. External Memory Data Structures; L. Arge. 10. External Memory Algorithms; J.S. Vitter. Part V: Optimization. 11. Data Envelopment Analysis (DEA) in Massive Data Sets; J.H. Dula, F.J. Lopez. 12. Optimization Methods in Massive Data Sets; P.S. Bradley, et al. 13. Wavelets and Multiscale Transforms in Astronomical Image Processing; F. Murtagh, J.L. Starck. 14. Clustering in Massive Data Sets; F. Murtagh. Part VI: Data Management. 15. Managing and Analyzing Massive Data Sets with Data Cubes; M. Riedewald, et al. 16. Data Squashing: Constructing Summary Data Sets; W. DuMouchel. 17. Mining and Monitoring Evolving Data; V. Ganti, R. Ramakrishnan. 18. Data Quality in Massive Data Sets; M.F. Goodchild, K.C. Clarke. 19. Data Warehousing; T. Johnson. 20. Aggregate View Management in Data Warehouses; Y. Kotidis. 21. Semistructured Data and XML; D. Suciu. Part VII: Architecture Issues. 22. Overview of High Performance Computers; A.J. van der Steen, J. Dongarra. 23. The National Scalable Cluster Project; R. Grossman, R. Hollebeek. 24. Sorting and Selection on Parallel Disk Models; S. Rajasekaran. Part VIII: Applications. 25. Billing in the Large; A. Hume. 26. Detecting Fraud in the Real World; M.H. Cahill, et al. 27. Massive Datasets in Astronomy; R.J. Brunner, et al. 28. Data Management in Environmental Information Systems; O. Gunther. 29. Massive Data Sets Issues in Earth Observing; R. Yang, M. Kafatos. 30. Mining Biomolecular Data Using Background Knowledge and Artificial Neural Networks; Q. Ma, et al. 31. Massive Data Set Issues in Air Pollution Modelling; Z. Zlatev. Index.