Frontiers in Massive Data Analysis - Softcover

National Research Council; Division On Engineering And Physical Sciences; Board On Mathematical Sciences And Their Applications; Committee On Applied And Theoretical Statistics; Committee On The Analysis Of Massive Data

Softcover

ISBN 10: 0309287782 ISBN 13: 9780309287784

Verlag: National Academies Press, 2013

Inhaltsangabe

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 system. Data at that scale―terabytes and petabytes―is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge―from computer science, statistics, machine learning, and application disciplines―that must be brought to bear to make useful inferences from massive data.

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

Über diesen Titel

Über die Autorin bzw. den Autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.

Details zur Ausgabe

• Verlag: National Academies Press
• Erscheinungsdatum: 2013
• Sprache: Englisch
• ISBN 10: 0309287782
• ISBN 13: 9780309287784
• Einband: Tapa blanda
• Anzahl der Seiten: 190
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar