Uncertainty Handling and Quality Assessment in Data Mining:
The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many area...
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| Hauptverfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2003
|
| Ausgabe: | 1st ed. 2003 |
| Schriftenreihe: | Advanced Information and Knowledge Processing
|
| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques |
| Beschreibung: | 1 Online-Ressource (IX, 226 p) |
| ISBN: | 9781447100317 |
| DOI: | 10.1007/978-1-4471-0031-7 |
Internformat
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| spelling | Vazirgiannis, Michalis Verfasser aut Uncertainty Handling and Quality Assessment in Data Mining by Michalis Vazirgiannis, Maria Halkidi, Dimitrious Gunopulos 1st ed. 2003 London Springer London 2003 1 Online-Ressource (IX, 226 p) txt rdacontent c rdamedia cr rdacarrier Advanced Information and Knowledge Processing The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques Data Structures and Information Theory Information Systems and Communication Service Data Structures Management of Computing and Information Systems Data structures (Computer science) Computers Management information systems Computer science Validierung (DE-588)4187357-9 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Unsicherheit (DE-588)4186957-6 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s Unsicherheit (DE-588)4186957-6 s Fuzzy-Logik (DE-588)4341284-1 s Cluster-Analyse (DE-588)4070044-6 s DE-604 Qualitätskontrolle (DE-588)4047968-7 s Validierung (DE-588)4187357-9 s Halkidi, Maria aut Gunopulos, Dimitrious aut Erscheint auch als Druck-Ausgabe 9781447111191 Erscheint auch als Druck-Ausgabe 9781852336554 Erscheint auch als Druck-Ausgabe 9781447100324 https://doi.org/10.1007/978-1-4471-0031-7 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Vazirgiannis, Michalis Halkidi, Maria Gunopulos, Dimitrious Uncertainty Handling and Quality Assessment in Data Mining Data Structures and Information Theory Information Systems and Communication Service Data Structures Management of Computing and Information Systems Data structures (Computer science) Computers Management information systems Computer science Validierung (DE-588)4187357-9 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Cluster-Analyse (DE-588)4070044-6 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Unsicherheit (DE-588)4186957-6 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4187357-9 (DE-588)4341284-1 (DE-588)4070044-6 (DE-588)4047968-7 (DE-588)4186957-6 (DE-588)4428654-5 (DE-588)4143413-4 |
| title | Uncertainty Handling and Quality Assessment in Data Mining |
| title_auth | Uncertainty Handling and Quality Assessment in Data Mining |
| title_exact_search | Uncertainty Handling and Quality Assessment in Data Mining |
| title_exact_search_txtP | Uncertainty Handling and Quality Assessment in Data Mining |
| title_full | Uncertainty Handling and Quality Assessment in Data Mining by Michalis Vazirgiannis, Maria Halkidi, Dimitrious Gunopulos |
| title_fullStr | Uncertainty Handling and Quality Assessment in Data Mining by Michalis Vazirgiannis, Maria Halkidi, Dimitrious Gunopulos |
| title_full_unstemmed | Uncertainty Handling and Quality Assessment in Data Mining by Michalis Vazirgiannis, Maria Halkidi, Dimitrious Gunopulos |
| title_short | Uncertainty Handling and Quality Assessment in Data Mining |
| title_sort | uncertainty handling and quality assessment in data mining |
| topic | Data Structures and Information Theory Information Systems and Communication Service Data Structures Management of Computing and Information Systems Data structures (Computer science) Computers Management information systems Computer science Validierung (DE-588)4187357-9 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Cluster-Analyse (DE-588)4070044-6 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Unsicherheit (DE-588)4186957-6 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data Structures and Information Theory Information Systems and Communication Service Data Structures Management of Computing and Information Systems Data structures (Computer science) Computers Management information systems Computer science Validierung Fuzzy-Logik Cluster-Analyse Qualitätskontrolle Unsicherheit Data Mining Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4471-0031-7 |
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