Innovative Applications in Data Mining:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2009
|
| Series: | Studies in Computational Intelligence
169 |
| Subjects: | |
| Online Access: | DE-634 DE-92 DE-898 Volltext |
| Item Description: | Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9783540880455 |
| DOI: | 10.1007/978-3-540-88045-5 |
Staff View
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| contents | Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images -- A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN -- Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm? -- Clustering Dynamic Web Usage Data -- Towards Characterization of the Data Generation Process -- Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines |
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| discipline | Informatik Mathematik |
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| spelling | Nedjah, Nadia 196X- Verfasser (DE-588)1117161536 aut Innovative Applications in Data Mining edited by Nadia Nedjah, Luiza Macedo Mourelle, Janusz Kacprzyk Berlin, Heidelberg Springer Berlin Heidelberg 2009 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Studies in Computational Intelligence 169 Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to publish the results. This kind of situation makes hard to evaluate, in a precise way, the degree of effectiveness of data mining techniques in real-world applications. On the other hand, researchers of this field of expertise usually exploit public-domain datasets. This volume offers a wide spectrum of research work developed for data mining for real-world application. In the following, we give a brief introduction of the chapters that are included in this book Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images -- A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN -- Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm? -- Clustering Dynamic Web Usage Data -- Towards Characterization of the Data Generation Process -- Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Data Mining (DE-588)4428654-5 gnd rswk-swf Anwendung (DE-588)4196864-5 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content 2\p (DE-588)4522595-3 Fallstudiensammlung gnd-content Data Mining (DE-588)4428654-5 s Anwendung (DE-588)4196864-5 s 3\p DE-604 Mourelle, Luiza de Macedo Sonstige (DE-588)1117162109 oth Kacprzyk, Janusz 1947- Sonstige (DE-588)110363248 oth Erscheint auch als Druckausgabe 978-3-540-88044-8 https://doi.org/10.1007/978-3-540-88045-5 Verlag 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 |
| spellingShingle | Nedjah, Nadia 196X- Innovative Applications in Data Mining Application of Data Mining Techniques to Storage Management and Online Distribution of Satellite Images -- A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN -- Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm? -- Clustering Dynamic Web Usage Data -- Towards Characterization of the Data Generation Process -- Data Mining Applied to the Electric Power Industry: Classification of Short-Circuit Faults in Transmission Lines Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Data Mining (DE-588)4428654-5 gnd Anwendung (DE-588)4196864-5 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4196864-5 (DE-588)4143413-4 (DE-588)4522595-3 |
| title | Innovative Applications in Data Mining |
| title_auth | Innovative Applications in Data Mining |
| title_exact_search | Innovative Applications in Data Mining |
| title_full | Innovative Applications in Data Mining edited by Nadia Nedjah, Luiza Macedo Mourelle, Janusz Kacprzyk |
| title_fullStr | Innovative Applications in Data Mining edited by Nadia Nedjah, Luiza Macedo Mourelle, Janusz Kacprzyk |
| title_full_unstemmed | Innovative Applications in Data Mining edited by Nadia Nedjah, Luiza Macedo Mourelle, Janusz Kacprzyk |
| title_short | Innovative Applications in Data Mining |
| title_sort | innovative applications in data mining |
| topic | Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Data Mining (DE-588)4428654-5 gnd Anwendung (DE-588)4196864-5 gnd |
| topic_facet | Engineering Artificial intelligence Engineering mathematics Appl.Mathematics/Computational Methods of Engineering Artificial Intelligence (incl. Robotics) Ingenieurwissenschaften Künstliche Intelligenz Data Mining Anwendung Aufsatzsammlung Fallstudiensammlung |
| url | https://doi.org/10.1007/978-3-540-88045-5 |
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