Feature Extraction, Construction and Selection: A Data Mining Perspective
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contrib...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1998
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
453 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem |
| Beschreibung: | 1 Online-Ressource (XXIV, 410 p) |
| ISBN: | 9781461557258 |
| DOI: | 10.1007/978-1-4615-5725-8 |
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| discipline | Informatik |
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| spelling | Feature Extraction, Construction and Selection A Data Mining Perspective edited by Huan Liu, Hiroshi Motoda Boston, MA Springer US 1998 1 Online-Ressource (XXIV, 410 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 453 There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem Computer Science Data Structures, Cryptology and Information Theory Statistics, general Artificial Intelligence (incl. Robotics) Computer science Data structures (Computer science) Artificial intelligence Statistics Data Mining (DE-588)4428654-5 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s 2\p DE-604 Liu, Huan edt Motoda, Hiroshi edt Erscheint auch als Druck-Ausgabe 9781461376224 https://doi.org/10.1007/978-1-4615-5725-8 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 |
| spellingShingle | Feature Extraction, Construction and Selection A Data Mining Perspective Computer Science Data Structures, Cryptology and Information Theory Statistics, general Artificial Intelligence (incl. Robotics) Computer science Data structures (Computer science) Artificial intelligence Statistics Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4143413-4 |
| title | Feature Extraction, Construction and Selection A Data Mining Perspective |
| title_auth | Feature Extraction, Construction and Selection A Data Mining Perspective |
| title_exact_search | Feature Extraction, Construction and Selection A Data Mining Perspective |
| title_full | Feature Extraction, Construction and Selection A Data Mining Perspective edited by Huan Liu, Hiroshi Motoda |
| title_fullStr | Feature Extraction, Construction and Selection A Data Mining Perspective edited by Huan Liu, Hiroshi Motoda |
| title_full_unstemmed | Feature Extraction, Construction and Selection A Data Mining Perspective edited by Huan Liu, Hiroshi Motoda |
| title_short | Feature Extraction, Construction and Selection |
| title_sort | feature extraction construction and selection a data mining perspective |
| title_sub | A Data Mining Perspective |
| topic | Computer Science Data Structures, Cryptology and Information Theory Statistics, general Artificial Intelligence (incl. Robotics) Computer science Data structures (Computer science) Artificial intelligence Statistics Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Computer Science Data Structures, Cryptology and Information Theory Statistics, general Artificial Intelligence (incl. Robotics) Computer science Data structures (Computer science) Artificial intelligence Statistics Data Mining Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4615-5725-8 |
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