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Einführung in die suchmaschinenoptimierung (SEO) und -marketing (SEM) : mit dem Schwerpunkt Google / / Holger Weber
| Einführung in die suchmaschinenoptimierung (SEO) und -marketing (SEM) : mit dem Schwerpunkt Google / / Holger Weber |
| Autore | Weber Holger |
| Pubbl/distr/stampa | Hamburg, [Germany] : , : Diplomica Verlag, , 2014 |
| Descrizione fisica | 1 online resource (98 p.) |
| Disciplina | 025.04252 |
| Soggetto topico |
Search engines
Web site development Web usage mining |
| ISBN | 3-8428-4855-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto |
Inhalt; 1 Einleitung; 1.1 Ziel des Buches; 1.2 Aufbau des Buches; 2 Grundlagen von Suchmaschinen; 2.1 Zeitliche Entwicklung der Suchmaschinen; 2.2 Marktanteile; 2.3 Arten von Suchmaschinen; 2.4 Aufbau von Suchmaschinen; 2.5 Aufbau von Ergebnisseiten; 3 Suchmaschinen-Optimierung; 3.1 Abgrenzung und Erklärung der wichtigsten Begriffe; 3.2 Aufbau des Suchmaschinen-Algorithmus; 3.3 On the Page - Optimization; 3.4 Off the Page - Optimization; 3.5 Negative Einflussfaktoren; 3.6 Grenzen der Optimierung; 3.7 Tools für SEO; 4 Suchmaschinen Marketing; 4.1 Stärken des Online Marketing
4.2 Arten von Online Marketing4.3 Planung einer SEM-Kampagne; 4.4 Überblick über Produkte für SEM; 4.5 Nachteile des SEM; 5 Analyse von Praxisdaten; 5.1 Ergebnisse des BVDW Fragebogens zu SEM und SEO; 5.2 Analysen zweier AdWords Kampagnen; 6 Web-Controlling; 6.1 Definition von Web-Controlling; 6.2 Kennzahlen; 6.3 Methoden; 6.4 Web-Controlling Software; 7 Fazit; Abkürzungsverzeichnis; Abbildungsverzeichnis; Tabellenverzeichnis; Literatur; Buch-Quellen; Online-Quellen |
| Record Nr. | UNINA-9910787459103321 |
Weber Holger
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| Hamburg, [Germany] : , : Diplomica Verlag, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Einführung in die suchmaschinenoptimierung (SEO) und -marketing (SEM) : mit dem Schwerpunkt Google / / Holger Weber
| Einführung in die suchmaschinenoptimierung (SEO) und -marketing (SEM) : mit dem Schwerpunkt Google / / Holger Weber |
| Autore | Weber Holger |
| Pubbl/distr/stampa | Hamburg, [Germany] : , : Diplomica Verlag, , 2014 |
| Descrizione fisica | 1 online resource (98 p.) |
| Disciplina | 025.04252 |
| Soggetto topico |
Search engines
Web site development Web usage mining |
| ISBN | 3-8428-4855-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto |
Inhalt; 1 Einleitung; 1.1 Ziel des Buches; 1.2 Aufbau des Buches; 2 Grundlagen von Suchmaschinen; 2.1 Zeitliche Entwicklung der Suchmaschinen; 2.2 Marktanteile; 2.3 Arten von Suchmaschinen; 2.4 Aufbau von Suchmaschinen; 2.5 Aufbau von Ergebnisseiten; 3 Suchmaschinen-Optimierung; 3.1 Abgrenzung und Erklärung der wichtigsten Begriffe; 3.2 Aufbau des Suchmaschinen-Algorithmus; 3.3 On the Page - Optimization; 3.4 Off the Page - Optimization; 3.5 Negative Einflussfaktoren; 3.6 Grenzen der Optimierung; 3.7 Tools für SEO; 4 Suchmaschinen Marketing; 4.1 Stärken des Online Marketing
4.2 Arten von Online Marketing4.3 Planung einer SEM-Kampagne; 4.4 Überblick über Produkte für SEM; 4.5 Nachteile des SEM; 5 Analyse von Praxisdaten; 5.1 Ergebnisse des BVDW Fragebogens zu SEM und SEO; 5.2 Analysen zweier AdWords Kampagnen; 6 Web-Controlling; 6.1 Definition von Web-Controlling; 6.2 Kennzahlen; 6.3 Methoden; 6.4 Web-Controlling Software; 7 Fazit; Abkürzungsverzeichnis; Abbildungsverzeichnis; Tabellenverzeichnis; Literatur; Buch-Quellen; Online-Quellen |
| Record Nr. | UNINA-9910819925403321 |
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Weber Holger
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| Hamburg, [Germany] : , : Diplomica Verlag, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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From Web to social Web : discovering and deploying user and content profiles : Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers / / edited by Bettina Berendt [and three others]
| From Web to social Web : discovering and deploying user and content profiles : Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers / / edited by Bettina Berendt [and three others] |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XI, 164 p.) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence ;4737 |
| Soggetto topico |
Data mining
Internet searching Internet users Web usage mining World Wide Web |
| ISBN | 3-540-74951-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Analysis of Bloggers, Topics and Tags for a Blog Recommender System -- Combining Web Usage Mining and XML Mining in a Real Case Study -- Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web -- Discovering User Profiles from Semantically Indexed Scientific Papers -- Web Usage Mining in Noisy and Ambiguous Environments: Exploring the Role of Concept Hierarchies, Compression, and Robust User Profiles -- From World-Wide-Web Mining to Worldwide Webmining: Understanding People’s Diversity for Effective Knowledge Discovery -- Aspect-Based Tagging for Collaborative Media Organization -- Contextual Recommendation. |
| Altri titoli varianti |
WebMine 2006
Workshop on Web Mining |
| Record Nr. | UNISA-996465927703316 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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From Web to social Web : discovering and deploying user and content profiles : Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers / / edited by Bettina Berendt [and three others]
| From Web to social Web : discovering and deploying user and content profiles : Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers / / edited by Bettina Berendt [and three others] |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XI, 164 p.) |
| Disciplina | 006.3 |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence ;4737 |
| Soggetto topico |
Data mining
Internet searching Internet users Web usage mining World Wide Web |
| ISBN | 3-540-74951-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Analysis of Bloggers, Topics and Tags for a Blog Recommender System -- Combining Web Usage Mining and XML Mining in a Real Case Study -- Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web -- Discovering User Profiles from Semantically Indexed Scientific Papers -- Web Usage Mining in Noisy and Ambiguous Environments: Exploring the Role of Concept Hierarchies, Compression, and Robust User Profiles -- From World-Wide-Web Mining to Worldwide Webmining: Understanding People’s Diversity for Effective Knowledge Discovery -- Aspect-Based Tagging for Collaborative Media Organization -- Contextual Recommendation. |
| Altri titoli varianti |
WebMine 2006
Workshop on Web Mining |
| Record Nr. | UNINA-9910485021403321 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Google BigQuery Analytics [[electronic resource]]
| Google BigQuery Analytics [[electronic resource]] |
| Autore | Tigani Jordan |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2014 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | NaiduSiddartha |
| Soggetto topico |
Google analytics
Google BigQuery Web usage mining |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-118-82487-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Part I BigQuery Fundamentals; Chapter 1 The Story of Big Data at Google; Big Data Stack 1.0; Big Data Stack 2.0 (and Beyond); Open Source Stack; Google Cloud Platform; Cloud Processing; Cloud Storage; Cloud Analytics; Problem Statement; What Is Big Data?; Why Big Data?; Why Do You Need New Ways to Process Big Data?; How Can You Read a Terabyte in a Second?; What about MapReduce?; How Can You Ask Questions of Your Big Data and Quickly Get Answers?; Summary; Chapter 2 BigQuery Fundamentals; What Is BigQuery?; SQL Queries over Big Data
Cloud Storage SystemDistributed Cloud Computing; Analytics as a Service (AaaS?); What BigQuery Isn't; BigQuery Technology Stack; Google Cloud Platform; BigQuery Service History; BigQuery Sensors Application; Sensor Client Android App; BigQuery Sensors AppEngine App; Running Ad-Hoc Queries; Summary; Chapter 3 Getting Started with BigQuery; Creating a Project; Google APIs Console; Free Tier Limitations and Billing; Running Your First Query; Loading Data; Using the Command-Line Client; Install and Setup; Using the Client; Service Account Access; Setting Up Google Cloud Storage Development EnvironmentPython Libraries; Java Libraries; Additional Tools; Summary; Chapter 4 Understanding the BigQuery Object Model; Projects; Project Names; Project Billing; Project Access Control; Projects and AppEngine; BigQuery Data; Naming in BigQuery; Schemas; Tables; Datasets; Jobs; Job Components; BigQuery Billing and Quotas; Storage Costs; Processing Costs; Query RPCs; TableData.insertAll() RPCs; Data Model for End-to-End Application; Project; Datasets; Tables; Summary; Part II Basic BigQuery; Chapter 5 Talking to the BigQuery API; Introduction to Google APIs Authenticating API AccessRESTful Web Services for the SOAP-Less Masses; Discovering Google APIs; Common Operations; BigQuery REST Collections; Projects; Datasets; Tables; TableData; Jobs; BigQuery API Tour; Error Handling in BigQuery; Summary; Chapter 6 Loading Data; Bulk Loads; Moving Bytes; Destination Table; Data Formats; Errors; Limits and Quotas; Streaming Inserts; Summary; Chapter 7 Running Queries; BigQuery Query API; Query API Methods; Query API Features; Query Billing and Quotas; BigQuery Query Language; BigQuery SQL in Five Queries; Differences from Standard SQL; Summary Chapter 8 Putting It TogetherA Quick Tour; Mobile Client; Monitoring Service; Log Collection Service; Log Trampoline; Dashboard; Data Caching; Data Transformation; Web Client; Summary; Part III Advanced BigQuery; Chapter 9 Understanding Query Execution; Background; Storage Architecture; Colossus File System (CFS); ColumnIO; Durability and Availability; Query Processing; Dremel Serving Trees; Architecture Comparisons; Relational Databases; MapReduce; Summary; Chapter 10 Advanced Queries; Advanced SQL; Subqueries; Combining Tables: Implicit UNION and JOIN; Analytic and Windowing Functions BigQuery SQL Extensions |
| Record Nr. | UNINA-9910464760703321 |
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Tigani Jordan
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| Hoboken, : Wiley, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Google BigQuery Analytics [[electronic resource]]
| Google BigQuery Analytics [[electronic resource]] |
| Autore | Tigani Jordan |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2014 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | NaiduSiddartha |
| Soggetto topico |
Google analytics
Google BigQuery Web usage mining |
| ISBN | 1-118-82487-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Part I BigQuery Fundamentals; Chapter 1 The Story of Big Data at Google; Big Data Stack 1.0; Big Data Stack 2.0 (and Beyond); Open Source Stack; Google Cloud Platform; Cloud Processing; Cloud Storage; Cloud Analytics; Problem Statement; What Is Big Data?; Why Big Data?; Why Do You Need New Ways to Process Big Data?; How Can You Read a Terabyte in a Second?; What about MapReduce?; How Can You Ask Questions of Your Big Data and Quickly Get Answers?; Summary; Chapter 2 BigQuery Fundamentals; What Is BigQuery?; SQL Queries over Big Data
Cloud Storage SystemDistributed Cloud Computing; Analytics as a Service (AaaS?); What BigQuery Isn't; BigQuery Technology Stack; Google Cloud Platform; BigQuery Service History; BigQuery Sensors Application; Sensor Client Android App; BigQuery Sensors AppEngine App; Running Ad-Hoc Queries; Summary; Chapter 3 Getting Started with BigQuery; Creating a Project; Google APIs Console; Free Tier Limitations and Billing; Running Your First Query; Loading Data; Using the Command-Line Client; Install and Setup; Using the Client; Service Account Access; Setting Up Google Cloud Storage Development EnvironmentPython Libraries; Java Libraries; Additional Tools; Summary; Chapter 4 Understanding the BigQuery Object Model; Projects; Project Names; Project Billing; Project Access Control; Projects and AppEngine; BigQuery Data; Naming in BigQuery; Schemas; Tables; Datasets; Jobs; Job Components; BigQuery Billing and Quotas; Storage Costs; Processing Costs; Query RPCs; TableData.insertAll() RPCs; Data Model for End-to-End Application; Project; Datasets; Tables; Summary; Part II Basic BigQuery; Chapter 5 Talking to the BigQuery API; Introduction to Google APIs Authenticating API AccessRESTful Web Services for the SOAP-Less Masses; Discovering Google APIs; Common Operations; BigQuery REST Collections; Projects; Datasets; Tables; TableData; Jobs; BigQuery API Tour; Error Handling in BigQuery; Summary; Chapter 6 Loading Data; Bulk Loads; Moving Bytes; Destination Table; Data Formats; Errors; Limits and Quotas; Streaming Inserts; Summary; Chapter 7 Running Queries; BigQuery Query API; Query API Methods; Query API Features; Query Billing and Quotas; BigQuery Query Language; BigQuery SQL in Five Queries; Differences from Standard SQL; Summary Chapter 8 Putting It TogetherA Quick Tour; Mobile Client; Monitoring Service; Log Collection Service; Log Trampoline; Dashboard; Data Caching; Data Transformation; Web Client; Summary; Part III Advanced BigQuery; Chapter 9 Understanding Query Execution; Background; Storage Architecture; Colossus File System (CFS); ColumnIO; Durability and Availability; Query Processing; Dremel Serving Trees; Architecture Comparisons; Relational Databases; MapReduce; Summary; Chapter 10 Advanced Queries; Advanced SQL; Subqueries; Combining Tables: Implicit UNION and JOIN; Analytic and Windowing Functions BigQuery SQL Extensions |
| Record Nr. | UNINA-9910786556103321 |
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Tigani Jordan
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| Hoboken, : Wiley, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Google BigQuery Analytics
| Google BigQuery Analytics |
| Autore | Tigani Jordan |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, : Wiley, 2014 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | NaiduSiddartha |
| Soggetto topico |
Google analytics
Google BigQuery Web usage mining |
| ISBN | 1-118-82487-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Part I BigQuery Fundamentals; Chapter 1 The Story of Big Data at Google; Big Data Stack 1.0; Big Data Stack 2.0 (and Beyond); Open Source Stack; Google Cloud Platform; Cloud Processing; Cloud Storage; Cloud Analytics; Problem Statement; What Is Big Data?; Why Big Data?; Why Do You Need New Ways to Process Big Data?; How Can You Read a Terabyte in a Second?; What about MapReduce?; How Can You Ask Questions of Your Big Data and Quickly Get Answers?; Summary; Chapter 2 BigQuery Fundamentals; What Is BigQuery?; SQL Queries over Big Data
Cloud Storage SystemDistributed Cloud Computing; Analytics as a Service (AaaS?); What BigQuery Isn't; BigQuery Technology Stack; Google Cloud Platform; BigQuery Service History; BigQuery Sensors Application; Sensor Client Android App; BigQuery Sensors AppEngine App; Running Ad-Hoc Queries; Summary; Chapter 3 Getting Started with BigQuery; Creating a Project; Google APIs Console; Free Tier Limitations and Billing; Running Your First Query; Loading Data; Using the Command-Line Client; Install and Setup; Using the Client; Service Account Access; Setting Up Google Cloud Storage Development EnvironmentPython Libraries; Java Libraries; Additional Tools; Summary; Chapter 4 Understanding the BigQuery Object Model; Projects; Project Names; Project Billing; Project Access Control; Projects and AppEngine; BigQuery Data; Naming in BigQuery; Schemas; Tables; Datasets; Jobs; Job Components; BigQuery Billing and Quotas; Storage Costs; Processing Costs; Query RPCs; TableData.insertAll() RPCs; Data Model for End-to-End Application; Project; Datasets; Tables; Summary; Part II Basic BigQuery; Chapter 5 Talking to the BigQuery API; Introduction to Google APIs Authenticating API AccessRESTful Web Services for the SOAP-Less Masses; Discovering Google APIs; Common Operations; BigQuery REST Collections; Projects; Datasets; Tables; TableData; Jobs; BigQuery API Tour; Error Handling in BigQuery; Summary; Chapter 6 Loading Data; Bulk Loads; Moving Bytes; Destination Table; Data Formats; Errors; Limits and Quotas; Streaming Inserts; Summary; Chapter 7 Running Queries; BigQuery Query API; Query API Methods; Query API Features; Query Billing and Quotas; BigQuery Query Language; BigQuery SQL in Five Queries; Differences from Standard SQL; Summary Chapter 8 Putting It TogetherA Quick Tour; Mobile Client; Monitoring Service; Log Collection Service; Log Trampoline; Dashboard; Data Caching; Data Transformation; Web Client; Summary; Part III Advanced BigQuery; Chapter 9 Understanding Query Execution; Background; Storage Architecture; Colossus File System (CFS); ColumnIO; Durability and Availability; Query Processing; Dremel Serving Trees; Architecture Comparisons; Relational Databases; MapReduce; Summary; Chapter 10 Advanced Queries; Advanced SQL; Subqueries; Combining Tables: Implicit UNION and JOIN; Analytic and Windowing Functions BigQuery SQL Extensions |
| Record Nr. | UNINA-9910826921403321 |
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Tigani Jordan
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| Hoboken, : Wiley, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ICE.gov web analytics
| ICE.gov web analytics |
| Pubbl/distr/stampa | [Washington, D.C.] : , : U.S. Immigration and Customs Enforcement, , 2013- |
| Descrizione fisica | 1 online resource (volumes) : color illustrations |
| Soggetto topico |
Internet users
Web usage mining |
| Soggetto genere / forma | Statistics. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | ICE.gov metrics |
| Record Nr. | UNINA-9910716048203321 |
| [Washington, D.C.] : , : U.S. Immigration and Customs Enforcement, , 2013- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mind+machine : a decision model for optimizing and implementing analytics / / Marc Vollenweider
| Mind+machine : a decision model for optimizing and implementing analytics / / Marc Vollenweider |
| Autore | Vollenweider Marc |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
| Descrizione fisica | 1 recurso electrónico (321 pages) : color illustrations, charts |
| Disciplina | 006.312 |
| Soggetto topico |
Web usage mining
Big data |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-30292-7
1-119-30297-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910136595203321 |
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Vollenweider Marc
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| Hoboken, New Jersey : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mind+machine : a decision model for optimizing and implementing analytics / / Marc Vollenweider
| Mind+machine : a decision model for optimizing and implementing analytics / / Marc Vollenweider |
| Autore | Vollenweider Marc |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
| Descrizione fisica | 1 recurso electrónico (321 pages) : color illustrations, charts |
| Disciplina | 006.312 |
| Soggetto topico |
Web usage mining
Big data |
| ISBN |
1-119-30292-7
1-119-30297-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910799001103321 |
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Vollenweider Marc
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| Hoboken, New Jersey : , : Wiley, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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