Mining the World Wide Web: An Information Search Approach
Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data wa...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer US
2001
|
Ausgabe: | 1st ed. 2001 |
Schriftenreihe: | The Information Retrieval Series
10 |
Schlagworte: | |
Online-Zugang: | UBY01 Volltext |
Zusammenfassung: | Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval |
Beschreibung: | 1 Online-Ressource (XVII, 170 p) |
ISBN: | 9781461516392 |
DOI: | 10.1007/978-1-4615-1639-2 |
Internformat
MARC
LEADER | 00000nmm a2200000zcb4500 | ||
---|---|---|---|
001 | BV047064360 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 201216s2001 |||| o||u| ||||||eng d | ||
020 | |a 9781461516392 |9 978-1-4615-1639-2 | ||
024 | 7 | |a 10.1007/978-1-4615-1639-2 |2 doi | |
035 | |a (ZDB-2-SCS)978-1-4615-1639-2 | ||
035 | |a (OCoLC)1227477243 | ||
035 | |a (DE-599)BVBBV047064360 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-706 | ||
082 | 0 | |a 004.023 |2 23 | |
084 | |a ST 271 |0 (DE-625)143639: |2 rvk | ||
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
100 | 1 | |a Chang, George |e Verfasser |4 aut | |
245 | 1 | 0 | |a Mining the World Wide Web |b An Information Search Approach |c by George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang |
250 | |a 1st ed. 2001 | ||
264 | 1 | |a New York, NY |b Springer US |c 2001 | |
300 | |a 1 Online-Ressource (XVII, 170 p) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a The Information Retrieval Series |v 10 | |
520 | |a Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval | ||
650 | 4 | |a The Computing Profession | |
650 | 4 | |a Data Structures and Information Theory | |
650 | 4 | |a Information Storage and Retrieval | |
650 | 4 | |a Artificial Intelligence | |
650 | 4 | |a Computers | |
650 | 4 | |a Data structures (Computer science) | |
650 | 4 | |a Information storage and retrieval | |
650 | 4 | |a Artificial intelligence | |
650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a World Wide Web |0 (DE-588)4363898-3 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a World Wide Web |0 (DE-588)4363898-3 |D s |
689 | 0 | 1 | |a Data Mining |0 (DE-588)4428654-5 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Healey, Marcus |4 aut | |
700 | 1 | |a McHugh, James A. M. |4 aut | |
700 | 1 | |a Wang, T.L. |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780792373490 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781461356547 |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781461516408 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4615-1639-2 |x Verlag |z URL des Eerstveröffentlichers |3 Volltext |
912 | |a ZDB-2-SCS | ||
940 | 1 | |q ZDB-2-SCS_2000/2004 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-032471472 | ||
966 | e | |u https://doi.org/10.1007/978-1-4615-1639-2 |l UBY01 |p ZDB-2-SCS |q ZDB-2-SCS_2000/2004 |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804182062257668096 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Chang, George Healey, Marcus McHugh, James A. M. Wang, T.L |
author_facet | Chang, George Healey, Marcus McHugh, James A. M. Wang, T.L |
author_role | aut aut aut aut |
author_sort | Chang, George |
author_variant | g c gc m h mh j a m m jam jamm t w tw |
building | Verbundindex |
bvnumber | BV047064360 |
classification_rvk | ST 271 ST 530 |
collection | ZDB-2-SCS |
ctrlnum | (ZDB-2-SCS)978-1-4615-1639-2 (OCoLC)1227477243 (DE-599)BVBBV047064360 |
dewey-full | 004.023 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 004 - Computer science |
dewey-raw | 004.023 |
dewey-search | 004.023 |
dewey-sort | 14.023 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.1007/978-1-4615-1639-2 |
edition | 1st ed. 2001 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03201nmm a2200625zcb4500</leader><controlfield tag="001">BV047064360</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201216s2001 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781461516392</subfield><subfield code="9">978-1-4615-1639-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4615-1639-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SCS)978-1-4615-1639-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227477243</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047064360</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004.023</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 271</subfield><subfield code="0">(DE-625)143639:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chang, George</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mining the World Wide Web</subfield><subfield code="b">An Information Search Approach</subfield><subfield code="c">by George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2001</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer US</subfield><subfield code="c">2001</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVII, 170 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">The Information Retrieval Series</subfield><subfield code="v">10</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">The Computing Profession</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Structures and Information Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information Storage and Retrieval</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data structures (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information storage and retrieval</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">World Wide Web</subfield><subfield code="0">(DE-588)4363898-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">World Wide Web</subfield><subfield code="0">(DE-588)4363898-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Healey, Marcus</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">McHugh, James A. M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, T.L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780792373490</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781461356547</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781461516408</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4615-1639-2</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Eerstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-SCS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SCS_2000/2004</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032471472</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4615-1639-2</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="q">ZDB-2-SCS_2000/2004</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV047064360 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:12:22Z |
indexdate | 2024-07-10T09:01:34Z |
institution | BVB |
isbn | 9781461516392 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471472 |
oclc_num | 1227477243 |
open_access_boolean | |
owner | DE-706 |
owner_facet | DE-706 |
physical | 1 Online-Ressource (XVII, 170 p) |
psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | Springer US |
record_format | marc |
series2 | The Information Retrieval Series |
spelling | Chang, George Verfasser aut Mining the World Wide Web An Information Search Approach by George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang 1st ed. 2001 New York, NY Springer US 2001 1 Online-Ressource (XVII, 170 p) txt rdacontent c rdamedia cr rdacarrier The Information Retrieval Series 10 Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval The Computing Profession Data Structures and Information Theory Information Storage and Retrieval Artificial Intelligence Computers Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining (DE-588)4428654-5 gnd rswk-swf World Wide Web (DE-588)4363898-3 gnd rswk-swf World Wide Web (DE-588)4363898-3 s Data Mining (DE-588)4428654-5 s DE-604 Healey, Marcus aut McHugh, James A. M. aut Wang, T.L. aut Erscheint auch als Druck-Ausgabe 9780792373490 Erscheint auch als Druck-Ausgabe 9781461356547 Erscheint auch als Druck-Ausgabe 9781461516408 https://doi.org/10.1007/978-1-4615-1639-2 Verlag URL des Eerstveröffentlichers Volltext |
spellingShingle | Chang, George Healey, Marcus McHugh, James A. M. Wang, T.L Mining the World Wide Web An Information Search Approach The Computing Profession Data Structures and Information Theory Information Storage and Retrieval Artificial Intelligence Computers Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
subject_GND | (DE-588)4428654-5 (DE-588)4363898-3 |
title | Mining the World Wide Web An Information Search Approach |
title_auth | Mining the World Wide Web An Information Search Approach |
title_exact_search | Mining the World Wide Web An Information Search Approach |
title_exact_search_txtP | Mining the World Wide Web An Information Search Approach |
title_full | Mining the World Wide Web An Information Search Approach by George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang |
title_fullStr | Mining the World Wide Web An Information Search Approach by George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang |
title_full_unstemmed | Mining the World Wide Web An Information Search Approach by George Chang, Marcus Healey, James A. M. McHugh, T.L. Wang |
title_short | Mining the World Wide Web |
title_sort | mining the world wide web an information search approach |
title_sub | An Information Search Approach |
topic | The Computing Profession Data Structures and Information Theory Information Storage and Retrieval Artificial Intelligence Computers Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining (DE-588)4428654-5 gnd World Wide Web (DE-588)4363898-3 gnd |
topic_facet | The Computing Profession Data Structures and Information Theory Information Storage and Retrieval Artificial Intelligence Computers Data structures (Computer science) Information storage and retrieval Artificial intelligence Data Mining World Wide Web |
url | https://doi.org/10.1007/978-1-4615-1639-2 |
work_keys_str_mv | AT changgeorge miningtheworldwidewebaninformationsearchapproach AT healeymarcus miningtheworldwidewebaninformationsearchapproach AT mchughjamesam miningtheworldwidewebaninformationsearchapproach AT wangtl miningtheworldwidewebaninformationsearchapproach |