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Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.

This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. If you are an instructor or professor and would like to obtain instructor’s materials, please visit http://booksupport.wiley.com If you are an instructor or professor and would like to obtain a solutions manual, please send an email to: pressbooks@ieee.org

Data Mining for Genomics and Proteomics uses pragmatic examples and a complete case study to demonstrate step-by-step how biomedical studies can be used to maximize the chance of extracting new and useful biomedical knowledge from data. It is an excellent resource for students and professionals involved with gene or protein expression data in a variety of settings.

The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book

Книга написана для начинающих программистов. Ко всем задачам есть решения. Присутствуют задачи повышенной сложности.

Master Everything Access 2002 Has to Offer Reap the benefits of the latest release of Microsoft Access with Mastering Access 2002 Premium Edition. Get clelear, in-depth coverage of the entire range of Access functionality, from basic to advanced. Special attention to new features makes the transition from an earlier version quick and painless, and 200 pages of bonus macro material teaches you ways to customize and automate Access to make it work for you. Establish Key Skills Create a database that meets your precise needs Design easy-to-use forms with effective visual elements Expand and collapse views to bring in supporting details Import and export data, including XML Examine data using subdatasheet views Summarize, analyze, and trend data with PivotTables and PivotCharts Filter data and create reports Publish Access data to a Web server Personalize Access menus and toolbars Keep your data secure Take advantage of improved integration with other Office applications Create custom error messages Then Tackle These Cutting-Edge Topics Recording and running macros Maintaining data with macros Handling complex macro navigation Using macros to work with groups of records Identifying and correcting macro errors Using Access as SQL Server's front end Using Access as the core of a database-driven Web site Managing replication and conflict resolution Using Visual Basic to get the most out of Access Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Get Up to Speed for Oracle9i Administration Training Courses–Fast! Oracle9i DBA JumpStart gives you the solid grounding you need to approach Oracle certification with confidence: * Introduction to relational database concepts * Using basic SQL*Plus and iSQL*Plus commands * Understanding Oracle database functions * Using multiple tables * Restricting, sorting, and grouping data * Creating and maintaining a database * Using SQL*Plus reporting techniques * Creating and maintaining database objects * Setting up users and managing security * Configuring optimization * Creating backups * Troubleshooting

With more than three million users, MySQL is the most popular open-source database server in the world, providing an extremely fast, reliable, and inexpensive alternative to commercial database management systems Gives corporate users a complete guide to building enterprise-level database applications with MySQL Covers the pros and cons of adopting MySQL and installing, testing, and configuring the MySQL server Written by one of the lead programmers of the MySQL product and reviewed by Monty Widenius, the creator of MySQL Companion Web site includes all code examples as well as links to useful online resources

The latest release of CORBA boasts many new features that were highly anticipated by developers, including all of the necessary services for building fully distributed applications regardless of platform or programming language. Written by a leading international authority on CORBA and the bestselling author of CORBA 3 Fundamentals and Programming, Second Edition (0-471-29518-3), this book delivers on its title, providing a quick and easy-to-understand reference to CORBA 3 for developers who just need the basics to the upgrade–and don't have the time to read a huge reference guide. After reviewing the features grouped under the CORBA 3 banner, Siegel goes on to describe the integration of CORBA with Java and the Internet, mapping XML to OMG IDL, messaging, QoS control including specializations for Real-Time and embedded systems, and the CORBA Component Model (CCM).

Complete. Authoritative. Practical. The only SQL Server book you need. Mastering SQL Server 2000 is the one indispensable resource for anyone working with the latest version of SQL Server. Whether you build or administer SQL Server databases or write applications that communicate with them, you'll find the background knowledge and the practical instruction you need to accomplish any task, from the most basic to the most advanced. Coverage includes: Understanding SQL Server architecture Designing an efficient normalized database Writing Transact-SQL statements and batches Creating databases Creating tables and views Creating stored procedures and triggers Administering SQL Server Managing SQL Server security Designing applications using ADO, SQL-DMO, and SQL-NS Using Data Transformation Services Integrating SQL Server with the Internet Optimizing SQL Server performance Understanding and managing replication Using Analysis Services to analyze data Using Microsoft English Query Troubleshooting common problems

The heart of the book provides the complete set of models that will support most of an organization's core business functions, including universal meta models for enterprise-wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions Developers can directly adapt these models to their own businesses, saving countless hours of development time Building effective meta data repositories is complicated and time-consuming, and few IT departments have the necessary expertise to do it right-which is why this book is sure to find a ready audience Begins with a quick overview of the Meta Data Repository Environment and the business uses of meta data, then goes on to describe the technical architecture followed by the detailed models

When you hear the word “database,” do your eyes glaze over? Does the mention of fields and tables make your blood pressure skyrocket? Does the idea of entering and using hyperlinks make you hyperventilate? Whether you’re running a business or a household . . . whether you need to be able to quickly access customer information, your recipe for chicken cacciatore, or the Little League team’s records, Access 2003 holds the key. This friendly guide unlocks the secrets of using Access 2003 to store, manage, organize, reorganize, and use data! It gives you: The basics of the whole database concept Suggestions for solving problems with Access What you need to know to design, build, use, and change Access tables Info on the ten most common types of fields The scoop on using queries to unearth the answers hiding somewhere in your data Guidelines for using the Access report system to make short work of long, previously time-consuming, reports In the relaxed, comfortable For Dummies style, this book has easy-to-follow, step-by-step instructions and lots of screen shots. If you want to create and manage a database for a huge auction house, this guide will get you going . . . going . . . gone. If you want to create a database for your music collection, it gives you the score then shows you how to use formatting and add graphics to jazz it up. You’ll get the low-down on extracting all kinds of information from databases and putting that information to practical use. You’ll discover how to: Use Label Wizard to create mailing labels, file labels, shipping labels, or name tags Use Chart Wizard to create line charts, bar, cone, and column charts, pie and donut charts, area charts, and XY and bubble charts Use Auto Reports to create columnar or tabular reports and then fine-tune them Export reports to Microsoft Word and Excel Get your data Web-ready and put it on the Internet in either static or dynamic form Build forms with Form Wizard And speaking of high-tech fun, Access 2003 For Dummies even tells you how to install and use speech recognition software with Access 2003. So if the idea of working with databases has you talking to yourself, this is just the book you need.