000 | 03178nam a22005295i 4500 | ||
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001 | 978-981-13-3053-7 | ||
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005 | 20240423125452.0 | ||
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008 | 181212s2019 si | s |||| 0|eng d | ||
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_a9789811330537 _9978-981-13-3053-7 |
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024 | 7 |
_a10.1007/978-981-13-3053-7 _2doi |
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050 | 4 | _aQA76.9.D3 | |
072 | 7 |
_aUN _2bicssc |
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072 | 7 |
_aCOM021000 _2bisacsh |
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_aUN _2thema |
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082 | 0 | 4 |
_a005.74 _223 |
245 | 1 | 0 |
_aWeb Searching and Mining _h[electronic resource] / _cedited by Debajyoti Mukhopadhyay. |
250 | _a1st ed. 2019. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2019. |
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300 |
_aXVI, 166 p. 82 illus., 5 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aCognitive Intelligence and Robotics, _x2520-1964 |
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505 | 0 | _aChapter 1. Introduction -- Chapter 2. Preliminaries on Cellular Automata -- Chapter 3. Design of SMACA -- Chapter 4. SMACA usage in Indexing Storage of a Search Engine -- Chapter 5. Cellular Automata in Web Page Ranking -- Chapter 6. Web-page Indexing based on the Prioritize Ontology Terms -- Chapter 7. Domain Specific Crawler Design -- Chapter 8. Structural Change of Domain Specific Web-page Repository for Efficient Searching -- Chapter 9. Domain Specific Web-page Prediction -- Chapter 10. Domain Specific Lucky Searching. . | |
520 | _aThis book presents the basics of search engines and their components. It introduces, for the first time, the concept of Cellular Automata in Web technology and discusses the prerequisites of Cellular Automata. In today’s world, searching data from the World Wide Web is a common phenomenon for virtually everyone. It is also a fact that searching the tremendous amount of data from the Internet is a mammoth task – and handling the data after retrieval is even more challenging. In this context, it is important to understand the need for space efficiency in data storage. Though Cellular Automata has been utilized earlier in many fields, in this book the authors experiment with employing its strong mathematical model to address some critical issues in the field of Web Mining. | ||
650 | 0 | _aDatabase management. | |
650 | 0 | _aData mining. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 1 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
700 | 1 |
_aMukhopadhyay, Debajyoti. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789811330520 |
776 | 0 | 8 |
_iPrinted edition: _z9789811330544 |
830 | 0 |
_aCognitive Intelligence and Robotics, _x2520-1964 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-13-3053-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c178261 _d178261 |