Java Data Object

A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality.Each year, companies lose millions as a result of inaccurate and missing data in their op

Considers knowledge discovery, which has been defined as the extraction of implicit, previously unknown and potentially useful information from data. Early chapters examine technical issues of importa

Over the last ten years Kent Beck has written dozens of technical papers for the Smalltalk community, earning himself a reputation as both a gifted writer and thinker. Kent Beck's Guide to Better Smalltalk, is a collection of his best work from Object Magazine, The Smalltalk Report, Dr Dobbs Journal, and more. Each article has a new introduction that takes a retrospective view of the writing. Topics include: idioms and environments; methods and metamodels; architecture and pattern languages, objects, classes, inheritance, and all things Smalltalk. Nowhere else can one obtain such a complete collection of Beck's writing. While demonstrating the elegance of Smalltalk and how some of its most powerful features can be exploited profitably, this collection also illuminates breakthrough concepts in object-oriented development. This book is for Smalltalk programmers and anyone working in object-oriented software development.

The goal of this book is to provide a comprehensive and systematic introduction to the important and highly applicable method of data refinement and the simulation methods used for proving its correctness. The authors concentrate in the first part on the general principles needed to prove data refinement correct. They begin with an explanation of the fundamental notions, showing that data refinement proofs reduce to proving simulation. The book's second part contains a detailed survey of important methods in this field, which are carefully analysed, and shown to be either incomplete, with counterexamples to their application, or to be always applicable whenever data refinement holds. This is shown by proving, for the first time, that all these methods can be described and analysed in terms of two simple notions: forward and backward simulation. The book is self-contained, going from advanced undergraduate level and taking the reader to the state of the art in methods for proving simula

Robert Sedgewick has thoroughly rewritten and substantially expanded and updated his popular work to provide current and comprehensive coverage of important algorithms and data structures. Christopher

Provides an overview of data mining's uses, methods, technologies, commercial products, and future challenges. Part I describes technologies involved, such as warehousing and visualization, and Part I

Data Communications Networking Devices Operation, Utilization and LAN and VAN Internetworking Fourth Edition Gilbert Held 4-Degree Consulting, Macon, Georgia, USA Data communications continue to grow

The frequent use of weIl known critical data handbooks like Beilstein, Gmelin and Landolt-Bomstein is impeded by the fact that only larger libraries - often far away from scientist's working places -

Harvey Brightman's accessible, easy-to-understand new book focuses on helping readers learn essential statistical concepts and data analysis. In an intuitive and non-mathematical writing style, Bright

This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclu

This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclu

Having given away the answer in the subtitle, Langdon (U. of Birmingham, England) explains the nuts and bolts of the automatic creation of program code that actually includes stored data, which previo

Written by reliability data experts, the book gives plant managers and supervisors the guidance they need to collect, and use with confidence, process equipment reliability data for risk-based decisio

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this

Professor Richard Hanley faced the dilemma plaguing so many philosophy professors today?how to entice students into the classroom. Based upon his own successful course, Is Data Human presents a thorou

Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the more modern ideas of data analysis. The book is divided into thr

Upgrading Relational Databases with Objects presents a clear-headed overview of how to use object-oriented (OO) technology to improve existing relational databases. This practical how-to guide starts with the basics of OO and works its way up to examples and what-if scenarios that illustrate how OO technology is, should be and should not be integrated with relational databases. It draws a keen distinction between applications that can be best performed with each technology. The book describes such object technologies as OLE and CORBA and what their impacts will be on relational database connectivity and provides a brief tutorial on relational and object concepts. It then moves on to advanced object/relational, SQL3, OO database technology and the Internet.

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of

In the wake of both the semiotic and the psychoanalytic revolutions, how is it possible to describe the object of religious worship in realist terms? Semioticians argue that each object is known only

Drawing on interviews with over 70 specialists in Europe, the US, and Canada, Harris (geography, U. College, London) examines policies regarding access to satellite data about the earth, its distribut

本書提供給您詳細的資訊和實用的技術，您可以利用到很多共時程式設計的好處，以及建立多執行續Java應用程式的技巧。讓應用程式對使用者需求具有更佳的反應度且更快也更容易控制。

Based on actual studies, offers high-level managers and systems architects in the telecommunications industry step-by-step instruction on designing and developing cost-efficient data warehouses. Also

Morphometrics is the statistical study of biological shape and shape change. Its richest data are landmarks, points such as 'the bridge of the nose' that have biological names as well as geometric locations. This book is the first systematic survey of morphometric methods for landmark data. The methods presented here combine conventional multivariate statistical analysis with themes from plane and solid geometry and from biomathematics to support biological insights into the features of many different organs and organisms. This book will be of value to applied statisticians and geometers, as well as to all biological and biomedical researchers who need quantitative analyses of information from biomedical images.

An excellent resource on the changing population distribution of antebellum Black Americans, this book covers census data by region and state. Two-thirds of the book consists of tables and graphs prov

Presents photographs for identification and gives suggested prices for each collectible Planters Peanut object

Discusses the opportunities and risks for the U.S. in using intelligence data for environmental purposes.

Presents the handshape for each letter of the American manual alphabet accompanied by an object whose name begins with that letter

This comprehensive guide offers a detailed treatment of the analysis, design, simulation and testing of the full range of today's leading delta-sigma data converters. Written by professionals experien

NMR DATA PROCESSINGJeffrey C. Hoch and Alan S. SternNuclear Magnetic Resonance (NMR) spectroscopy is a powerful nondestructive technique for exploring the structure of matter. In recent years, NMR ins

All young computer scientists who aspire to write programs must learn something about algorithms and data structures. This book does exactly that. Based on lecture courses developed by the author over

This book describes how surveys are conducted in such a way that they can be believed, explains how to read statistical reports and analyze data, and provides guidelines that are useful in evaluating

In this second edition of his best-selling book, Data Structures and Algorithm Analysis in C, Mark Allen Weiss, continues to refine and enhance his innovative approach to algorithms and data structure

Each letter of the alphabet is represented by a drawing of an object or animal

A clear and systematic treatment of time series of data, regular and chaotic, found in nonlinear systems. The text leads readers from measurements of one or more variables through the steps of buildin

Not another O.J. Simpson trial exposT, but a new edition of the standard reference interpreting discrete population genetic data (for example, DNA profiles). Weir illustrates concepts in estimating f

Once a research project has been designed and the data have been gathered, what is the best way to transform this information into something useful? The authors of this practical volume highlight the

algorithms and data structures in C++ Leendert Ammeraal Hogeschool van Utrecht, The Netherlands C++ is capable of tackling a whole range of programming tasks. The purpose of this book is to give bread

Though companies have amassed an enormous amount of data, they haven't always been able to use it because it is unstructured, unintegrated, or polluted. This book shows how to transform this vast pool

In the theory and practice of econometrics the model, the method and the data are all interdependent links in information recovery-estimation and inference. Seldom, however, are the economic and stati