Data mining and data visualization:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier North Holland
2005
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Handbook of statistics (Amsterdam, Netherlands)
v. 24 |
| Schlagworte: | |
| Online-Zugang: | DE-1046 URL des Erstveröffentlichers |
| Beschreibung: | Includes bibliographical references and index This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Key Features: - Distinguished contributors who are international experts in aspects of data mining - Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data - Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data - Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions - Thorough discussion of data visualization issues blending statistical, human factors, and computational insights Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights |
| Beschreibung: | xiv, 643 pages |
| ISBN: | 0080459404 9780080459400 9780444511416 0444511415 |
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| 500 | |a This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Key Features: - Distinguished contributors who are international experts in aspects of data mining - Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data - Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. | ||
| 500 | |a streaming data - Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions - Thorough discussion of data visualization issues blending statistical, human factors, and computational insights Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights | ||
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Datensatz im Suchindex
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| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.74 |
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| discipline | Informatik |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV044383715 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-08T00:10:32Z |
| institution | BVB |
| isbn | 0080459404 9780080459400 9780444511416 0444511415 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029785936 |
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| physical | xiv, 643 pages |
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| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Elsevier North Holland |
| record_format | marc |
| series2 | Handbook of statistics (Amsterdam, Netherlands) |
| spelling | Data mining and data visualization edited by C.R. Rao, E.J. Wegman, J.L. Solka 1st ed Amsterdam Elsevier North Holland 2005 xiv, 643 pages txt rdacontent c rdamedia cr rdacarrier Handbook of statistics (Amsterdam, Netherlands) v. 24 Includes bibliographical references and index This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Key Features: - Distinguished contributors who are international experts in aspects of data mining - Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data - Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data - Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions - Thorough discussion of data visualization issues blending statistical, human factors, and computational insights Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights Exploration de données (Informatique) Exploration de données (Informatique) / Méthodes statistiques COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / Database Management / General bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Statistiek gtt Data mining gtt Exploration de données rasuqam Méthode statistique rasuqam Visualisation rasuqam Statistik Data mining Data mining Statistical methods Visualisierung (DE-588)4188417-6 gnd rswk-swf Daten (DE-588)4135391-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Statistik (DE-588)4056995-0 s Data Mining (DE-588)4428654-5 s 2\p DE-604 Wissensextraktion (DE-588)4546354-2 s Visualisierung (DE-588)4188417-6 s 3\p DE-604 4\p DE-604 Daten (DE-588)4135391-2 s 5\p DE-604 Rao, C. Radhakrishna Sonstige oth Wegman, Edward J. Sonstige oth Solka, Jeffrey L. Sonstige oth http://www.sciencedirect.com/science/handbooks/01697161/24 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Data mining and data visualization Exploration de données (Informatique) Exploration de données (Informatique) / Méthodes statistiques COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / Database Management / General bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Statistiek gtt Data mining gtt Exploration de données rasuqam Méthode statistique rasuqam Visualisation rasuqam Statistik Data mining Data mining Statistical methods Visualisierung (DE-588)4188417-6 gnd Daten (DE-588)4135391-2 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4188417-6 (DE-588)4135391-2 (DE-588)4428654-5 (DE-588)4546354-2 (DE-588)4056995-0 (DE-588)4143413-4 |
| title | Data mining and data visualization |
| title_auth | Data mining and data visualization |
| title_exact_search | Data mining and data visualization |
| title_full | Data mining and data visualization edited by C.R. Rao, E.J. Wegman, J.L. Solka |
| title_fullStr | Data mining and data visualization edited by C.R. Rao, E.J. Wegman, J.L. Solka |
| title_full_unstemmed | Data mining and data visualization edited by C.R. Rao, E.J. Wegman, J.L. Solka |
| title_short | Data mining and data visualization |
| title_sort | data mining and data visualization |
| topic | Exploration de données (Informatique) Exploration de données (Informatique) / Méthodes statistiques COMPUTERS / Desktop Applications / Databases bisacsh COMPUTERS / Database Management / General bisacsh COMPUTERS / System Administration / Storage & Retrieval bisacsh Statistiek gtt Data mining gtt Exploration de données rasuqam Méthode statistique rasuqam Visualisation rasuqam Statistik Data mining Data mining Statistical methods Visualisierung (DE-588)4188417-6 gnd Daten (DE-588)4135391-2 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Exploration de données (Informatique) Exploration de données (Informatique) / Méthodes statistiques COMPUTERS / Desktop Applications / Databases COMPUTERS / Database Management / General COMPUTERS / System Administration / Storage & Retrieval Statistiek Data mining Exploration de données Méthode statistique Visualisation Statistik Data mining Statistical methods Visualisierung Daten Data Mining Wissensextraktion Aufsatzsammlung |
| url | http://www.sciencedirect.com/science/handbooks/01697161/24 |
| work_keys_str_mv | AT raocradhakrishna datamininganddatavisualization AT wegmanedwardj datamininganddatavisualization AT solkajeffreyl datamininganddatavisualization |