Data mining: concepts, models, methods, and algorithms
A comprehensive introduction to the exploding field of data mining We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley-Interscience
2003
|
| Schlagworte: | |
| Online-Zugang: | FHI01 FHN01 Volltext |
| Zusammenfassung: | A comprehensive introduction to the exploding field of data mining We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing complexity and size of today's data sets, a new term, data mining, was created to describe the indirect, automatic data analysis techniques that utilize more complex and sophisticated tools than those which analysts used in the past to do mere data analysis. Data Mining: Concepts, Models, Methods, and Algorithms discusses data mining principles and then describes representative state-of-the-art methods and algorithms originating from different disciplines such as statistics, machine learning, neural networks, fuzzy logic, and evolutionary computation. Detailed algorithms are provided with necessary explanations and illustrative examples. This text offers guidance: how and when to use a particular software tool (with their companion data sets) from among the hundreds offered when faced with a data set to mine. This allows analysts to create and perform their own data mining experiments using their knowledge of the methodologies and techniques provided. This book emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning. These critically important, qualitative decisions can only be made with the deeper understanding of parameter meaning and its role in the technique that is offered here. Data mining is an exploding field and this book offers much-needed guidance to selecting among the numerous analysis programs that are available |
| Beschreibung: | Description based on PDF viewed 12/21/2015 |
| Beschreibung: | 1 Online-Resource (xii, 345 pages) illustrations |
| ISBN: | 9780470544341 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Kantardzic, Mehmed 1947- |
| author_GND | (DE-588)1244240834 |
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| author_role | aut |
| author_sort | Kantardzic, Mehmed 1947- |
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| dewey-full | 006.3/12 |
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| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
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| spelling | Kantardzic, Mehmed 1947- Verfasser (DE-588)1244240834 aut Data mining concepts, models, methods, and algorithms Mehmed Kantardzic Hoboken, New Jersey Wiley-Interscience 2003 1 Online-Resource (xii, 345 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Description based on PDF viewed 12/21/2015 A comprehensive introduction to the exploding field of data mining We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing complexity and size of today's data sets, a new term, data mining, was created to describe the indirect, automatic data analysis techniques that utilize more complex and sophisticated tools than those which analysts used in the past to do mere data analysis. Data Mining: Concepts, Models, Methods, and Algorithms discusses data mining principles and then describes representative state-of-the-art methods and algorithms originating from different disciplines such as statistics, machine learning, neural networks, fuzzy logic, and evolutionary computation. Detailed algorithms are provided with necessary explanations and illustrative examples. This text offers guidance: how and when to use a particular software tool (with their companion data sets) from among the hundreds offered when faced with a data set to mine. This allows analysts to create and perform their own data mining experiments using their knowledge of the methodologies and techniques provided. This book emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning. These critically important, qualitative decisions can only be made with the deeper understanding of parameter meaning and its role in the technique that is offered here. Data mining is an exploding field and this book offers much-needed guidance to selecting among the numerous analysis programs that are available Data mining Data Mining (DE-588)4428654-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content 2\p (DE-588)4148875-1 Datensammlung gnd-content Data Mining (DE-588)4428654-5 s 3\p DE-604 Datenanalyse (DE-588)4123037-1 s 4\p DE-604 Erscheint auch als Druck-Ausgabe 9780470890455 https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5265979 Aggregator 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 |
| spellingShingle | Kantardzic, Mehmed 1947- Data mining concepts, models, methods, and algorithms Data mining Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4123037-1 (DE-588)4151278-9 (DE-588)4148875-1 |
| title | Data mining concepts, models, methods, and algorithms |
| title_auth | Data mining concepts, models, methods, and algorithms |
| title_exact_search | Data mining concepts, models, methods, and algorithms |
| title_full | Data mining concepts, models, methods, and algorithms Mehmed Kantardzic |
| title_fullStr | Data mining concepts, models, methods, and algorithms Mehmed Kantardzic |
| title_full_unstemmed | Data mining concepts, models, methods, and algorithms Mehmed Kantardzic |
| title_short | Data mining |
| title_sort | data mining concepts models methods and algorithms |
| title_sub | concepts, models, methods, and algorithms |
| topic | Data mining Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Data mining Data Mining Datenanalyse Einführung Datensammlung |
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