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210123 ||| eng |
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|a 1466510978
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| 020 |
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|a 9781466510975
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| 050 |
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4 |
|a QA76.9.D343
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| 100 |
1 |
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|a Muhamad Amin, Anang Hudaya
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| 245 |
0 |
0 |
|a Internet-scale pattern recognition
|b new techniques for voluminous data sets and data clouds
|c Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution
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| 260 |
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|a Boca Raton, FL
|b CRC Press
|c 2013
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| 300 |
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|a xviii, 179 pages
|b illustrations
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 505 |
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|a 1. Recognition : a new perspective -- 2. Evolution of internet-scale recognition -- 3. Systems and tools -- 4. Implementations and applications -- 5. The way forward
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| 653 |
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|a Data mining / fast
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| 653 |
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|a Mathematical statistics / Data processing / fast
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| 653 |
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|a COMPUTERS / Internet / General / bisacsh
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| 653 |
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|a COMPUTERS / Database Management / Data Mining / bisacsh
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| 653 |
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|a Analyse du comportement des internautes
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| 653 |
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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| 653 |
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|a Web usage mining / fast
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| 653 |
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|a Pattern recognition systems / http://id.loc.gov/authorities/subjects/sh85098791
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| 653 |
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|a COMPUTERS / Machine Theory / bisacsh
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| 653 |
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|a Pattern recognition systems / fast
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| 653 |
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|a Mathematical statistics / Data processing / http://id.loc.gov/authorities/subjects/sh85082137
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| 653 |
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|a Web usage mining / http://id.loc.gov/authorities/subjects/sh00009186
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| 653 |
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|a Statistique mathématique / Informatique
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| 653 |
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|a Exploration de données (Informatique)
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| 653 |
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|a Reconnaissance des formes (Informatique)
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| 700 |
1 |
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|a Khan, Asad
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| 700 |
1 |
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|a Nasution, Benny
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 015 |
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|a GBB7A1567
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| 024 |
8 |
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|a 10.1201/b12989
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| 776 |
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|z 9781466510968
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| 776 |
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|z 1466510978
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| 776 |
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|z 146651096X
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| 776 |
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|z 9781466510975
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781466510975/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 658
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| 082 |
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|a 006.3/12
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|a 519.5
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| 520 |
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|a "This cutting-edge reference outlines the underlying theory and principles of efficient and effective distributed pattern recognition involving one-shot learning and in-network processing for different types of applications, including multimedia retrieval systems and event detection over different network environments. Investigating one-shot learning and in-network processing as complementary mechanisms for efficient and accurate distributed pattern analyses, it presents the technical aspects related to the development of scalable pattern recognition using a number of contemporary application development tools. It also considers scalability of pattern recognition schemes when dealing with such data"--
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