Archive for the ‘Data Mining & Data Warehousing’ Category
Identifying some of the most influential algorithms that are widely used in the data mining community, this volume provides a description of each algorithm, discusses the impact of the algorithms, and reviews current and future research on the algorithms. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is written by either the original authors of the algorithm or world-class researchers who have extensively studied the respective algorithm. The book concentrates on the following important algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.
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Data Mining Using SAS® Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS® Enterprise Miner. This first-of-a-kind book explains the purpose of — and reasoning behind — every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis. Each chapter starts with a short introduction to the assortment of statistics that are generated from the various Enterprise Miner nodes, followed by detailed explanations of configuration settings that are located within each node.
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Ronald P. Cody, Ray Pass“SAS Programming by Example” SAS Institute | 1995-03-08 | ISBN: 1555446817 |
360 pages | PDF | 12.4 MB
Develop and fine-tune your programming skills the easy way - by example! For beginning and intermediate users, SAS Programming by Example guides you, with a series of annotated examples, through basic tasks to more complex ones. Problems and solutions are provided to make the most of the programming tools available in base SAS software. Conversational in tone, this book is useful both as a tutorial for learning programming and as a convenient quick-reference filled with tips and strategies for solving your programming problems. Among the clearly explained examples are models that show you how to build SAS data sets, use SAS functions for data translation, program more efficiently, relate information from multiple sources, and chart and plot data. You will also learn to work with SAS date values, produce descriptive and summary statistics, and write reports.
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Lawrence S. Meyers, Glenn Gamst, A. J. Guarino “Data Analysis Using SAS Enterprise Guide”
Cambridge University Press | English | 2009-08-17 | ISBN: 0521112680 | 398 pages | PDF | 11 MB
This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis.
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Whether you are designing a large or small data warehouse, or looking for tips on how to improve performance using Oracle Database 10g, this book will provide you with advice and examples you can follow. It also includes thorough coverage of the data warehouse features in Oracle Database 10g, and the tools in Oracle Application Server 10g
