Graph algorithms: practical examples in Apache Spark and Neo4j
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Beijing
O'Reilly
2019
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492047674/?ar |
| Zusammenfassung: | Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark. |
| Beschreibung: | Online resource; title from PDF title page (EBSCO, viewed May 23, 2019) |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781492047650 1492047651 9781492047636 1492047635 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047629878 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120732.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2019 xx |||||o 00| ||eng c | ||
| 020 | |a 9781492047650 |c electronic bk. |9 978-1-4920-4765-0 | ||
| 020 | |a 1492047651 |c electronic bk. |9 1-4920-4765-1 | ||
| 020 | |a 9781492047636 |c electronic bk. |9 978-1-4920-4763-6 | ||
| 020 | |a 1492047635 |c electronic bk. |9 1-4920-4763-5 | ||
| 035 | |a (DE-627-1)047629878 | ||
| 035 | |a (DE-599)KEP047629878 | ||
| 035 | |a (ORHE)9781492047674 | ||
| 035 | |a (DE-627-1)047629878 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a MAT |2 bisacsh | |
| 082 | 0 | |a 511/.5 |2 23 | |
| 100 | 1 | |a Needham, Mark |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Graph algorithms |b practical examples in Apache Spark and Neo4j |c Mark Needham and Amy E. Hodler |
| 264 | 1 | |a Beijing |b O'Reilly |c 2019 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; title from PDF title page (EBSCO, viewed May 23, 2019) | ||
| 520 | |a Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark. | ||
| 630 | 2 | 0 | |a Spark (Electronic resource : Apache Software Foundation) |
| 650 | 0 | |a Graph algorithms | |
| 650 | 4 | |a Spark (Electronic resource : Apache Software Foundation) | |
| 650 | 4 | |a Algorithmes de graphes | |
| 650 | 4 | |a MATHEMATICS ; General | |
| 650 | 4 | |a Graph algorithms | |
| 700 | 1 | |a Hodler, Amy E. |e VerfasserIn |4 aut | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781492047674/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-047629878 |
|---|---|
| _version_ | 1821494870834937856 |
| adam_text | |
| any_adam_object | |
| author | Needham, Mark Hodler, Amy E. |
| author_facet | Needham, Mark Hodler, Amy E. |
| author_role | aut aut |
| author_sort | Needham, Mark |
| author_variant | m n mn a e h ae aeh |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047629878 (DE-599)KEP047629878 (ORHE)9781492047674 |
| dewey-full | 511/.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 511 - General principles of mathematics |
| dewey-raw | 511/.5 |
| dewey-search | 511/.5 |
| dewey-sort | 3511 15 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02863cam a22004692 4500</leader><controlfield tag="001">ZDB-30-ORH-047629878</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120732.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781492047650</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-4920-4765-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1492047651</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-4920-4765-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781492047636</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-4920-4763-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1492047635</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-4920-4763-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047629878</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047629878</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781492047674</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047629878</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">MAT</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">511/.5</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Needham, Mark</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Graph algorithms</subfield><subfield code="b">practical examples in Apache Spark and Neo4j</subfield><subfield code="c">Mark Needham and Amy E. Hodler</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Beijing</subfield><subfield code="b">O'Reilly</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from PDF title page (EBSCO, viewed May 23, 2019)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark.</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">Spark (Electronic resource : Apache Software Foundation)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Graph algorithms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spark (Electronic resource : Apache Software Foundation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithmes de graphes</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">MATHEMATICS ; General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Graph algorithms</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hodler, Amy E.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781492047674/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-047629878 |
| illustrated | Not Illustrated |
| indexdate | 2025-01-17T11:21:15Z |
| institution | BVB |
| isbn | 9781492047650 1492047651 9781492047636 1492047635 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | O'Reilly |
| record_format | marc |
| spelling | Needham, Mark VerfasserIn aut Graph algorithms practical examples in Apache Spark and Neo4j Mark Needham and Amy E. Hodler Beijing O'Reilly 2019 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed May 23, 2019) Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark. Spark (Electronic resource : Apache Software Foundation) Graph algorithms Algorithmes de graphes MATHEMATICS ; General Hodler, Amy E. VerfasserIn aut |
| spellingShingle | Needham, Mark Hodler, Amy E. Graph algorithms practical examples in Apache Spark and Neo4j Spark (Electronic resource : Apache Software Foundation) Graph algorithms Algorithmes de graphes MATHEMATICS ; General |
| title | Graph algorithms practical examples in Apache Spark and Neo4j |
| title_auth | Graph algorithms practical examples in Apache Spark and Neo4j |
| title_exact_search | Graph algorithms practical examples in Apache Spark and Neo4j |
| title_full | Graph algorithms practical examples in Apache Spark and Neo4j Mark Needham and Amy E. Hodler |
| title_fullStr | Graph algorithms practical examples in Apache Spark and Neo4j Mark Needham and Amy E. Hodler |
| title_full_unstemmed | Graph algorithms practical examples in Apache Spark and Neo4j Mark Needham and Amy E. Hodler |
| title_short | Graph algorithms |
| title_sort | graph algorithms practical examples in apache spark and neo4j |
| title_sub | practical examples in Apache Spark and Neo4j |
| topic | Spark (Electronic resource : Apache Software Foundation) Graph algorithms Algorithmes de graphes MATHEMATICS ; General |
| topic_facet | Spark (Electronic resource : Apache Software Foundation) Graph algorithms Algorithmes de graphes MATHEMATICS ; General |
| work_keys_str_mv | AT needhammark graphalgorithmspracticalexamplesinapachesparkandneo4j AT hodleramye graphalgorithmspracticalexamplesinapachesparkandneo4j |