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Frontiers in Massive Data Analysis, National Research C
US $7.69
ApproximatelyS$ 9.88
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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eBay item number:354624392563
Item specifics
- Condition
- Book Title
- Frontiers in Massive Data Analysis
- ISBN
- 0309287782
- EAN
- 9780309287784
- Date of Publication
- 20131003
- Release Title
- Frontiers in Massive Data Analysis
- Artist
- National Research Council
- Brand
- N/A
- Colour
- N/A
About this product
Product Identifiers
Publisher
National Academies Press
ISBN-10
0309287782
ISBN-13
9780309287784
eBay Product ID (ePID)
168218831
Product Key Features
Number of Pages
190 Pages
Publication Name
Frontiers in Massive Data Analysis
Language
English
Publication Year
2013
Subject
Probability & Statistics / General, General, Statistics, Research & Methodology
Type
Textbook
Subject Area
Mathematics, Social Science, Science
Format
Trade Paperback
Dimensions
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2013-944743
Dewey Edition
23
Dewey Decimal
001.422
Synopsis
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., 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.
LC Classification Number
QA276.4.F76 2013
Item description from the seller
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Seller feedback (274,880)
- k***n (2974)- Feedback left by buyer.Past monthVerified purchaseUsed book as described, very quick FREE S&H, low BIN price
- y***u (80)- Feedback left by buyer.Past monthVerified purchaseAs described, great seller, fast shipping, amazing price.
- y***b (253)- Feedback left by buyer.Past monthVerified purchaseMagnífico