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9789812563392 - Adam Schenker, Abraham Kandel, H. Bunke: Graph-Theoretic Techniques For Web Content Mining (Series in Machine Perception and Artificial Intelligence) - Book
1
Adam Schenker, Abraham Kandel, H. Bunke (?):

Graph-Theoretic Techniques For Web Content Mining (Series in Machine Perception and Artificial Intelligence) (2005) (?)

ISBN: 9789812563392 (?) or 9812563393, in english, 248 pages, World Scientific Publishing Co Pte Ltd, hardcover, New

SGD 185.64 (£ 82.08)¹ + Shipping: SGD 11.27 (£ 4.98)¹ = SGD 196.91 (£ 87.06)¹(without obligation)

Neu ab: £82.08 (13 Angebote)
Gebraucht ab: £56.29 (5 Angebote)
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From Seller/Antiquarian, Nearfine
This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance - a relatively new approach for determining graph similarity - the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found in graph representations, while at the same time employing well-known, proven algorithms. To demonstrate and investigate these novel techniques, the authors have selected the domain of web content mining, which involves the clustering and classification of web documents based on their textual substance. Several methods of representing web document content by graphs are introduced; an interesting feature of these representations is that they allow for a polynomial time distance computation, something which is typically an NP-complete problem when using graphs. Experimental results are reported for both clustering and classification in three web document collections, using a variety of graph representations, distance measures, and algorithm parameters. In addition, this book describes several other related topics, many of which provide excellent starting points for researchers and students interested in exploring this new area of machine learning further. These topics include creating graph-based multiple classifier ensembles through random node selection and visualization of graph-based data using multidimensional scaling. hardcover, Label: World Scientific Publishing Co Pte Ltd, World Scientific Publishing Co Pte Ltd, Produktgruppe: Book, Publiziert: 2005-05-31, Studio: World Scientific Publishing Co Pte Ltd, Verkaufsrang: 6674631
Platform order number Amazon.co.uk: DCsf%2F062l85Id7n6jomEtwqYnBFE VlQ4t5y7qyDtAInkiIZMOF4GEB%2Fb aA6v6a3pNIdfKzOu%2BpgjKprsRfEd 7ZM5iyf6g9XIOe5PPTkOOp43ibDRx% 2Fu3%2FeQVqHTd2snXI7GO2CvxZS%2 B9LhYRdy%2Bn5Q%3D%3D
Keywords: Books, Computing & Internet, Computer Science, Artificial Intelligence, Databases, Data Storage & Management, Data Mining, Digital Lifestyle, Online Shopping, Amazon, Programming, Algorithms, Science & Nature, Mathematics, Combinatorics & Graph Theory, Education, Higher Education, Popular Science, Maths, Scientific, Technical & Medical
Data from 11/20/2015 14:28h
ISBN (alternative notations): 981-256-339-3, 978-981-256-339-2
9789812563392 - Adam Schenker: Graph-Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence) (Series in Machine Perception and Artificial Intelligence) - Book
2
Adam Schenker (?):

Graph-Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence) (Series in Machine Perception and Artificial Intelligence) (2005) (?)

ISBN: 9789812563392 (?) or 9812563393, unknown language, World Scientific Pub Co Inc, hardcover, New

SGD 293.43 ($ 202.93)¹(without obligation)
plus shipping, Verandgebiet: DOM
From Seller/Antiquarian, ExtremelyReliable, TX, Richmond, [RE:4]
hardcover
seller comment ExtremelyReliable, TX, Richmond, [RE:4]:
New, Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service. [QTY:1]
Platform order number Alibris.com: 13145009368
Data from 10/20/2016 13:43h
ISBN (alternative notations): 981-256-339-3, 978-981-256-339-2
9789812563392 - Adam Schenker: Graph-Theoretic Techniques for Web Content Mining - Book
3
Adam Schenker (?):

Graph-Theoretic Techniques for Web Content Mining (?)

ISBN: 9789812563392 (?) or 9812563393, unknown language, World Scientific Publishing Co Pte Ltd, hardcover, New

SGD 238.96 ($ 165.26)¹(without obligation)
plus shipping, Verandgebiet: EUR
From Seller/Antiquarian, Paperbackshop International, GLOS, Fairford, [RE:4]
hardcover
seller comment Paperbackshop International, GLOS, Fairford, [RE:4]:
PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK. [QTY:1]
Platform order number Alibris.com: 13619082176
Data from 10/20/2016 13:43h
ISBN (alternative notations): 981-256-339-3, 978-981-256-339-2
9789812563392 - A. Schenker: Graph-Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence) (Series in Machine Perception and Artificial Intelligence) - Book
4
A. Schenker (?):

Graph-Theoretic Techniques for Web Content Mining (Machine Perception and Artificial Intelligence) (Series in Machine Perception and Artificial Intelligence) (2005) (?)

ISBN: 9789812563392 (?) or 9812563393, unknown language, World Scientific Pub Co Inc, hardcover, Used

SGD 391.01 ($ 270.42)¹(without obligation)
plus shipping, Verandgebiet: DOM
From Seller/Antiquarian, ExtremelyReliable, TX, Richmond, [RE:4]
hardcover
seller comment ExtremelyReliable, TX, Richmond, [RE:4]:
Fair, Buy with confidence. Excellent Customer Service & Return policy. [QTY:1]
Platform order number Alibris.com: 13029618091
Data from 10/20/2016 13:43h
ISBN (alternative notations): 981-256-339-3, 978-981-256-339-2
9789812563392 - Adam Schenker, Abraham Kandel: Graph-Theoretic Techniques For Web Content Mining - Book
5
Adam Schenker, Abraham Kandel (?):

Graph-Theoretic Techniques For Web Content Mining (2005) (?)

Delivery from: Netherlands

ISBN: 9789812563392 (?) or 9812563393, unknown language, World Scientific Publishing Co Pte Ltd, hardcover, New

SGD 248.13 ( 156.38)¹(without obligation)
Vermoedelijk 4-6 weken
bol.com
This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance - a relatively new approach for determining graph similarity - the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work... This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. Through the use of graph distance - a relatively new approach for determining graph similarity - the authors show how well-known algorithms, such as k-means clustering and k-nearest neighbors classification, can be easily extended to work with graphs instead of vectors. This allows for the utilization of additional information found in graph representations, while at the same time employing well-known, proven algorithms.To demonstrate and investigate these novel techniques, the authors have selected the domain of web content mining, which involves the clustering and classification of web documents based on their textual substance. Several methods of representing web document content by graphs are introduced; an interesting feature of these representations is that they allow for a polynomial time distance computation, something which is typically an NP-complete problem when using graphs. Experimental results are reported for both clustering and classification in three web document collections using a variety of graph representations, distance measures, and algorithm parameters.In addition, this book describes several other related topics, many of which provide excellent starting points for researchers and students interested in exploring this new area of machine learning further. These topics include creating graph-based multiple classifier ensembles through random node selection and visualization of graph-based data using multidimensional scaling.Soort: Met illustraties;Taal: Engels;Oorspronkelijke titel: Graph-Theoretic Techniques for Web Content Mining;Afmetingen: 0x0x0 mm;Gewicht: 494,00 gram;Verschijningsdatum: mei 2005;ISBN10: 9812563393;ISBN13: 9789812563392; Engelstalig | hardcover | 2005
seller comment bol.com:
Nieuw, Vermoedelijk 4-6 weken
Platform order number Bol.com: 1001004002711087
Category: Database management, Data mining /, Techniek & Technologie, Informatica /, Meer computer, Kunstmatige intelligentie /, Internet, Online services /, Exacte wetenschappen, Wiskunde & Statistiek
Data from 10/20/2016 13:43h
ISBN (alternative notations): 981-256-339-3, 978-981-256-339-2

9789812563392

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