Data preparation for data mining using SAS
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Morgan Kaufmann Publishers
c2007
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| Schriftenreihe: | Morgan Kaufmann series in data management systems
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| 100 | 1 | |a Refaat, Mamdouh |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Data preparation for data mining using SAS |c Mamdouh Refaat |
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| 490 | 0 | |a Morgan Kaufmann series in data management systems | |
| 500 | |a Includes bibliographical references (p. 373-374) and index | ||
| 500 | |a Contents -- 1 Introduction -- 2 Tasks and Data Flow -- 3 Review of Data Mining Modeling Techniques -- 4 SAS Macros: A Quick Start -- 5 Data Acquisition and Integration -- 6 Integrity Checks -- 8 Sampling and Partitioning -- 9 Data Transformations -- 10 Binning and Reduction of Cardinality -- 11 Treatment of Missing Values -- 12 Predictive Power and Variable Reduction I. 13 Analysis of Nominal and Ordinal Variables -- 14 Analysis of Continuous Variables -- 15 Principal Component Analysis (PCA) 2. 16 Factor Analysis -- 17 Predictive Power and Variable Reduction II. 18 Putting it All Together -- A Listing of SAS Macros | ||
| 500 | |a Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little how to information? And are you, like most analysts, preparing the data in SAS? This book is intended to fill this gap as your source of practical recipes. It introduces a framework for the process of data preparation for data mining, and presents the detailed implementation of each step in SAS. In addition, business applications of data mining modeling require you to deal with a large number of variables, typically hundreds if not thousands. Therefore, the book devotes several chapters to the methods of data transformation and variable selection. FEATURES * A complete framework for the data preparation process, including implementation details for each step. * The complete SAS implementation code, which is readily usable by professional analysts and data miners. * A unique and comprehensive approach for the treatment of missing values, optimal binning, and cardinality reduction. * Assumes minimal proficiency in SAS and includes a quick-start chapter on writing SAS macros. * CD includes dozens of SAS macros plus the sample data and the program for the book's case study | ||
| 630 | 0 | 4 | |a SAS (Computer file) |
| 650 | 7 | |a COMPUTERS / Database Management / Data Mining |2 bisacsh | |
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| 650 | 7 | |a Data mining |2 fast | |
| 650 | 4 | |a SAS (Computer file) | |
| 650 | 4 | |a Data mining | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Refaat, Mamdouh |
| author_facet | Refaat, Mamdouh |
| author_role | aut |
| author_sort | Refaat, Mamdouh |
| author_variant | m r mr |
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| bvnumber | BV043093380 |
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| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV043093380 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:17:13Z |
| institution | BVB |
| isbn | 0080491006 0123735777 9780080491004 9780123735775 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028517572 |
| oclc_num | 156780417 |
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| physical | 1 Online-Ressource (xxi, 399 p.) |
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| publishDate | 2007 |
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| publishDateSort | 2007 |
| publisher | Morgan Kaufmann Publishers |
| record_format | marc |
| series2 | Morgan Kaufmann series in data management systems |
| spelling | Refaat, Mamdouh Verfasser aut Data preparation for data mining using SAS Mamdouh Refaat Amsterdam Morgan Kaufmann Publishers c2007 1 Online-Ressource (xxi, 399 p.) txt rdacontent c rdamedia cr rdacarrier Morgan Kaufmann series in data management systems Includes bibliographical references (p. 373-374) and index Contents -- 1 Introduction -- 2 Tasks and Data Flow -- 3 Review of Data Mining Modeling Techniques -- 4 SAS Macros: A Quick Start -- 5 Data Acquisition and Integration -- 6 Integrity Checks -- 8 Sampling and Partitioning -- 9 Data Transformations -- 10 Binning and Reduction of Cardinality -- 11 Treatment of Missing Values -- 12 Predictive Power and Variable Reduction I. 13 Analysis of Nominal and Ordinal Variables -- 14 Analysis of Continuous Variables -- 15 Principal Component Analysis (PCA) 2. 16 Factor Analysis -- 17 Predictive Power and Variable Reduction II. 18 Putting it All Together -- A Listing of SAS Macros Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little how to information? And are you, like most analysts, preparing the data in SAS? This book is intended to fill this gap as your source of practical recipes. It introduces a framework for the process of data preparation for data mining, and presents the detailed implementation of each step in SAS. In addition, business applications of data mining modeling require you to deal with a large number of variables, typically hundreds if not thousands. Therefore, the book devotes several chapters to the methods of data transformation and variable selection. FEATURES * A complete framework for the data preparation process, including implementation details for each step. * The complete SAS implementation code, which is readily usable by professional analysts and data miners. * A unique and comprehensive approach for the treatment of missing values, optimal binning, and cardinality reduction. * Assumes minimal proficiency in SAS and includes a quick-start chapter on writing SAS macros. * CD includes dozens of SAS macros plus the sample data and the program for the book's case study SAS (Computer file) COMPUTERS / Database Management / Data Mining bisacsh SAS (Computer file) fast Data mining fast Data mining http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=195005 Aggregator Volltext |
| spellingShingle | Refaat, Mamdouh Data preparation for data mining using SAS SAS (Computer file) COMPUTERS / Database Management / Data Mining bisacsh SAS (Computer file) fast Data mining fast Data mining |
| title | Data preparation for data mining using SAS |
| title_auth | Data preparation for data mining using SAS |
| title_exact_search | Data preparation for data mining using SAS |
| title_full | Data preparation for data mining using SAS Mamdouh Refaat |
| title_fullStr | Data preparation for data mining using SAS Mamdouh Refaat |
| title_full_unstemmed | Data preparation for data mining using SAS Mamdouh Refaat |
| title_short | Data preparation for data mining using SAS |
| title_sort | data preparation for data mining using sas |
| topic | SAS (Computer file) COMPUTERS / Database Management / Data Mining bisacsh SAS (Computer file) fast Data mining fast Data mining |
| topic_facet | SAS (Computer file) COMPUTERS / Database Management / Data Mining Data mining |
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