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Frontiers in Massive Data Analysis
National Research Co
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data.
Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a ... Read more
Table of Contents- Front Matter
- Summary
- 1 Introduction
- 2 Massive Data in Science, Technology, Commerce, National Defense, Telecommunications, and Other Endeavors
- 3 Scaling the Infrastructure for Data Management
- 4 Temporal Data and Real-Time Algorithms
- 5 Large-Scale Data Representations
- 6 Resources, Trade-offs, and Limitations
- 7 Building Models from Massive Data
- 8 Sampling and Massive Data
- 9 Human Interaction with Data
- 10 The Seven Computational Giants of Massive Data Analysis
- 11 Conclusions
- Appendixes
- Appendix A: Acronyms
- Appendix B: Biographical Sketches of Committee Members
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