Найти книгу: "Making Sense of Data I. A Practical Guide to Exploratory Data Analysis and Data Mining"

Praise for the First Edition “…a well-written book on data analysis and data mining that provides an excellent foundation…” —CHOICE “This is a must-read book for learning practical statistics and data analysis…” —Computing Reviews.com A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects. Based on the authors’ practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study. In order to facilitate the needed steps when handling a data analysis or data mining project, a step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. The tools to summarize and interpret data in order to master data analysis are integrated throughout, and the Second Edition also features: Updated exercises for both manual and computer-aided implementation with accompanying worked examples New appendices with coverage on the freely available Traceis™ software, including tutorials using data from a variety of disciplines such as the social sciences, engineering, and finance New topical coverage on multiple linear regression and logistic regression to provide a range of widely used and transparent approaches Additional real-world examples of data preparation to establish a practical background for making decisions from data Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition is an excellent reference for researchers and professionals who need to achieve effective decision making from data. The Second Edition is also an ideal textbook for undergraduate and graduate-level courses in data analysis and data mining and is appropriate for cross-disciplinary courses found within computer science and engineering departments.

Planning, preparing, scheduling, and executing SAP test cycles is a time-consuming and resource-intensive endeavor that requires participation from several project members. SAP projects are prone to have informal, ad-hoc test approaches that decrease the stability of the production environment and tend to increase the cost of ownership for the SAP system. Many SAP project and test managers cannot provide answers for questions such as how many requirements have testing coverage, the exit criteria for a test phase, the audit trails for test results, the dependencies and correct sequence for executing test cases, or the cost figures for a previously executed test cycle. Fortunately, through established testing techniques predicated on guidelines and methodologies (i.e., ASAP SAP Roadmap methodology, IBM’s Ascendant methodology, and Deloitte’s ThreadManager methodology), enforcement of standards, application of objective testing criteria, test case automation, implementation of a requirements traceability matrix (RTM), and independent testing and formation of centralized test teams, many of the testing risks that plague existing or initial SAP programs can be significantly reduced. This book is written for SAP managers, SAP consultants, SAP testers, and team leaders who are tasked with supporting, managing, implementing, and monitoring testing activities related to test planning, test design, test automation, test tool management, execution of test cases, reporting of test results, test outsourcing, planning a budget for testing activities, enforcing testing standards, and resolving defects.

The personal home page (PHP) server-side scripting language is particular well adapted to connecting HTML-based web pages to a backend database for dynamic content. This book explains the entire nuts-and-bolts process of the PHP application life cycle: requirements, design, development, maintenance and tuning. It shows how PHP can be used to design and develop highly manageable and secure applications to solve practical problems.

В книге представлены наиболее актуальные направления в области разработки корпоративных систем: организация хранилищ данных, оперативный (OLAP) и интеллектуальный анализ данных (Data Mining). Все три направления рассмотрены в достаточном для понимания и дальнейшего использования на практике объеме. Описание методов и алгоритмов анализа данных и иллюстрация их работы на примерах позволит использовать книгу не только как учебное пособие, но и как практическое руководство при разработке программного обеспечения.

Two new Oracle instruction and resource titles from Osborne/McGraw-Hill are indispensable additions to personal and professional reference collections. Oracle Database 10g: A Beginner's Guide is the collective effort of Oracle experts Ian Abramson, Michael Abbey and Michael Corey. Oracle Database 10g provides neophytes with the fundamental concepts of Oracle Database 10g administration and programming. Through self-paced tutorials, readers will learn about database essentials, the role of the administrator, and large database features. Oracle Database 10g includes an in-depth introduction to SQL, PL/SQL, Java, and XML programming.