The intelligent web : search, smart algorithms, and big data (Record no. 33352)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780198743880
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.7
Item number SHR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Shroff, Gautam
245 ## - TITLE STATEMENT
Title The intelligent web : search, smart algorithms, and big data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Oxford University Press,
Date of publication, distribution, etc 2015
Place of publication, distribution, etc New York :
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 297 p. ;
Other physical details ill.,
Dimensions 20 cm.
365 ## - TRADE PRICE
Price amount 599.00
Price type code
Unit of pricing 01
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of "Web intelligence", as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected. This book takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain. As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of "Web intelligence", as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected. Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence
Topical term or geographic name as entry element World Wide Web
Topical term or geographic name as entry element Abductive reasoning
Topical term or geographic name as entry element Collaborative filtering
Topical term or geographic name as entry element Deep web
Topical term or geographic name as entry element Description logic
Topical term or geographic name as entry element Intellipedia
Topical term or geographic name as entry element Mutual information
Topical term or geographic name as entry element Naive Bayes classifier
Topical term or geographic name as entry element PageRank
Topical term or geographic name as entry element Pheromone
Topical term or geographic name as entry element Reverse Turing Test
Topical term or geographic name as entry element Semantic web
Topical term or geographic name as entry element Unsupervised learning
Topical term or geographic name as entry element TF-IDF
Topical term or geographic name as entry element Web index
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2024-11-24 Amazon 599.00 004.7 SHR 035164 2024-11-24 Books

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