This book will provide the business or IT professional with a practical working knowledge of data modelling concepts and best practices, and how to apply these principles with PowerDesigner. You will build many PowerDesigner data models along the way, increasing your skills in first the fundamentals and later in the book the more advanced features of PowerDesigner. The book contains six sections: Section I introduces data modelling along with its purpose and variations. Also included is an explanation of the important role of a data modelling tool, the key features required of any data modelling tool, and an introduction to the essential features of PowerDesigner. Section II explains all of the components on a data model including entities, data elements, relationships, and keys, and describes how to create and manage these objects in PowerDesigner. Also included is a discussion of the importance of quality names and definitions for your objects. Section III dives into the relational and dimensional subject area, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard. Section IV contains a PowerDesigner workshop designed to consolidate everything for you. Section V focuses on additional PowerDesigner features (some of which have already been introduced) which make life easier for data modellers. Section VI discusses PowerDesigner topics beyond data modelling, including the XML physical model and the other types of model available in PowerDesigner. It also discusses the role of PowerDesigner in data management, using the DAMA Data Management Body of Knowledge (DAMA-DMBOK) framework.

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.

It is now possible to predict the future when it comes to crime. In " Data Mining and Predictive Analysis," Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to graphically depict crime trends and to predict where future crimes are likely to occur. Armed with this data, law enforcement executives can develop "risk-based deployment strategies," that allow them to make informed and cost-efficient staffing decisions based on the likelihood of specific criminal activity.
Knowledge of advanced statistics is not a prerequisite for using "Data Mining and Predictive Analysis." The book is a starting point for those thinking about using data mining in a law enforcement setting. It provides terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis, which law enforcement and intelligence professionals can tailor to their own unique situation and responsibilities.
* Serves as a valuable reference tool for both the student and the law enforcement professional
* Contains practical information used in real-life law enforcement situations
* Approach is very user-friendly, conveying sophisticated analyses in practical terms

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As you'll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all kinds of data, and genetic algorithms and evolutionary programming techniques drawn from biology provide the most effective means for designing and tuning these systems.
You don't need a background in fuzzy modeling or genetic algorithms to benefit, for this book provides it, along with detailed instruction in methods that you can immediately put to work in your own projects. The author provides many diverse examples and also an extended example in which evolutionary strategies are used to create a complex scheduling system.
* Written to provide analysts, engineers, and managers with the background and specific instruction needed to develop and implement more effective data mining systems.
* Helps you to understand the trade-offs implicit in various models and model architectures.
* Provides extensive coverage of fuzzy SQL querying, fuzzy clustering, and fuzzy rule induction.
* Lays out a roadmap for exploring data, selecting model system measures, organizing adaptive feedback loops, selecting a model configuration, implementing a working model, and validating the final model.
* In an extended example, applies evolutionary programming techniques to solve a complicated scheduling problem.
* Presents examples in C, C++, Java, and easy-to-understand pseudo-code.
* Extensive online component, including sample code and a complete data mining workbench.

Clustered configuration first hit the scene nearly 20 years ago when Digital Equipment Corporation (DEC) introduced the VaxCluster. Until now, the topic of Real Application Clusters (RAC) implementation had never been fully explored. For the first time, Murali Vallath dissects RAC mysteries in his book Oracle Real Application Clusters to enlighten and educate readers on the internals of RAC operations, cache fusion, fusion recovery processes and the fast reconfiguration of RAC.
This book provides comprehensive coverage of the features, technology and principles of RAC that is part of the Oracle9i release of Oracle's RDBMS product. It is divided into three main parts: application/database design, development and maintenance life cycles.
Compared to its predecessor OPS, the architecture behind RAC implementation have changed significantly. Vallath discusses Oracle9i features in a RAC implementation with respect to usage and design considerations, as well as those parameters that are and are not applicable. Areas covered include partitioning, indexes, tablespace management, transaction management, backup and recovery principles. Performance tuning with examples, troubleshooting and problem solving scenarios are covered in detail, as well as discussions on the migration process from a single instance database to RAC and migration from an OPS implementation to RAC.
Oracle Real Application Clusters takes readers through a logical flow from RAC concepts to operations, covering each facet with a fine-tooth comb. Vallath's skilled writing style makes each chapter entertaining and informative as only a true RAC connoisseur can provide. New and experienced users of RAC, as well as those seeking to expand their knowledge of this dynamic technology, will find this book to be a necessity for both home and office reference libraries.
*Focuses on implementing, testing and tuning features of Real Application Clusters (RAC)
*Provides extensive coverage of usage, day-to-day functions and operations
*Includes tips and techniques such as script samples to illustrate various features of RAC
*Unravels the internals of RAC architecture

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem.
This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis -- such as data mining -- can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations.
.Teaches how to discover, construct and refine models that are useful in business situations
.Teaches how to design, discover and develop the data necessary for mining
.Provides a practical approach to mining data for all business situations
.Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data
.Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools."

Many faces of modern computing - from archiving data to coding theory to image processing ¿ rely heavily on data compression. This new and practical guide explains the process of compressing all types of computer data, as well as the use of significant methods and algorithms. Its purpose is to succinctly describe both the principles underlying the field of data compression and how to use the key methods effectively. A Guide to Data Compression Methods concentrates on general concepts and methods and describes them with a minimal amount of mathematical detail. It presents the main approaches to data compression, describes the most important algorithms, and includes straightforward examples. Statistical, dictionary, and wavelet methodologies are addressed in specific chapters, as well as image, video, and audio compression. The reader can expect to gain a basic understanding of the key algorithms and methods used to compress data for storage and transmission. Topics and features: ¿ All core methods are clearly explained with realistic examples, and some computer code is included ¿ Accessible presentation, with only minimum computer and mathematics technical background ¿ Discussion of wavelet methods and JPEG 2000 ¿ Appendix lists all algorithms presented in the book ¿ CD-ROM included compromising computer code from the book and extensive public-domain compression utility programs This book is an invaluable practical reference and guide for all practitioners and professionals in computer science, software engineering, and programming.

Protect your digital resources! This book addresses critical issues of preservation, giving you everything you need to effectively protect your resources-from dealing with obsolescence, to responsibilities, methods of preservation, cost, and metadata formats. It also gives examples of numerous national and international institutions that provide frameworks for digital libraries and archives. A long-overdue text for anyone involved in the preservation of digital information, this book is critical in understanding today's methods and practices, intellectual discourse, and preservation guidelines. A must for librarians, archiving professionals, faculty and students of library science, administrators, and corporate leaders!

The researcher in computer content analysis is often faced with a paucity of guidance in conducting a study. Published exemplars of best practice in computer content analysis are rare, and computer content analysis seems to have developed independently in a number of disciplines, with researchers in one field often unaware of new and innovative techniques developed by researchers in other areas. This volume contains numerous articles illustrating the current state of the art of computer content analysis. Research is presented by scholars in political science, natural resource management, mass communication, marketing, education, and other fields, with the aim of providing exemplars for further research on the computer analysis and understanding of textual materials.

The studies presented in "Applications of Computer Content Analysis" offer a varied spectrum of exemplary studies, Researchers can, due to the breadth of the studies presented here, find methodological, theoretical, and practical suggestions which will significantly ease the process of creating new research--and will significantly reduce the duplication of effort which has, until now, plagued computer content analytic research. Intended for an audience of graduate students, scholars, and in-field practitioners, this will serve as an invaluable resource, full of useful examples, for those interesting in using computers to analyze newspapers articles, emails, mediated communication, or any other sort of digital communication.

Learn from a SQL Server performance authority how to make your database run at lightning speed.
Ken England's SQL Server 6.5 Performance Optimization and Tuning Handbook is recognized by SQL Server administrators as the indispensable guide to tuning and optimization. Now he's revised the book for Microsoft's new SQL Server 2000, the most advanced and powerful version yet of SQL Server, which takes full advantage of Windows 2000's new processing capabilities. The book details the factors that determine database performance and offers readers tools, techniques and best practices they can use to tweak and tune SQL Server's configuration and operation. Readers will learn how to enhance performance through good physical design and effective internal storage structures. The book spells out methods for creating efficient indexes and techniques for tuning SQL Server's new query optimizer.

A new edition of the authoritative and bestselling guide, SQL Server 6.5 Performance Optimization and Tuning Handbook, 1555581803Targets SQL Server 2000Helps IT professionals run SQL Server more powerfully and efficiently and optimize it for e-commerce and knowledge management

Microsoft Data Mining approaches data mining from the particular perspective of IT professionals using Microsoft data management technologies. The author explains the new data mining capabilities in Microsoft's SQL Server 2000 database, Commerce Server, and other products, details the Microsoft OLE DB for Data Mining standard, and gives readers best practices for using all of them. The book bridges the previously specialized field of data mining with the new technologies and methods that are quickly making it an important mainstream tool for companies of all sizes.
Data mining refers to a set of technologies and techniques by which IT professionals search large databases of information (such as those contained by SQL Server) for patterns and trends. Traditionally important in finance, telecommunication, and other information-intensive fields, data mining increasingly helps companies better understand and serve their customers by revealing buying patterns and related interests. It is becoming a foundation for e-commerce and knowledge management.
Unique book on a hot data management topic
Part of Digital Press's SQL Server and data mining clusters
Author is an expert on both traditional and Microsoft data mining technologies

At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, "Data Warehousing: Using the Wal-Mart Model" gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way.

What further sets this book apart is its focus on the informational needs of retail companies-including both market and organizational issues that affect the data's collection and use. If retail is your field, this book will prove especially valuable as you develop and implement your company's ideal data warehouse solution.
* Written by a member of the team of four engineers who designed and built the Wal-Mart Data Warehouse database, a team whose database design was recognized internally in 1991 by Wal-Mart with the company's Team Innovational Technical award.
* Provides essential information for project managers, consultants, data warehouse managers, and data architects.
* Takes an in-depth look at a wide range of technical issues, including architecture, construction approaches, tool selection, database system selection, and maintenance.
* Addresses issues specific to retail business: vendors, inventory, sales analysis, geography, article categories, and more.
* Explains how to determine business requirements at the outset of the project-and how to develop return on investment analyses after the warehouse has been brought online.

Do you need an introductory book on data and databases? If the book is by Joe Celko, the answer is yes. "Data and Databases: Concepts in Practice" is the first introduction to relational database technology written especially for practicing IT professionals. If you work mostly outside the database world, this book will ground you in the concepts and overall framework you must master if your data-intensive projects are to be successful. If you're already an experienced database programmer, administrator, analyst, or user, it will let you take a step back from your work and examine the founding principles on which you rely every day-helping you to work smarter, faster, and problem-free.

Whatever your field or level of expertise, Data and Databases offers you the depth and breadth of vision for which Celko is famous. No one knows the topic as well as he, and no one conveys this knowledge as clearly, as effectively-or as engagingly. Filled with absorbing war stories and no-holds-barred commentary, this is a book you'll pick up again and again, both for the information it holds and for the distinctive style that marks it as genuine Celko.
* Supports its extensive conceptual information with example code and other practical illustrations.
* Explains fundamental issues such as the nature of data and data modeling, and moves to more specific technical questions such as scales, measurements, and encoding.
* Offers fresh, engaging approaches to basic and not-so-basic issues of database programming, including data entities, relationships and values, data structures, set operations, numeric data, character string data, logical data and operations, and missing data among others.
* Covers the conceptual foundations of modern RDBMS technology, making it an ideal choice for students.

Whether building a relational, object-relational, or object-oriented database, database developers are increasingly relying on an object-oriented design approach as the best way to meet user needs and performance criteria. This book teaches you how to use the Unified Modeling Language-the official standard of the Object Management Group-to develop and implement the best possible design for your database.

Inside, the author leads you step by step through the design process, from requirements analysis to schema generation. You'll learn to express stakeholder needs in UML use cases and actor diagrams, to translate UML entities into database components, and to transform the resulting design into relational, object-relational, and object-oriented schemas for all major DBMS products.
* Teaches you everything you need to know to design, build, and test databases using an OO model.
* Shows you how to use UML, the accepted standard for database design according to OO principles.
* Explains how to transform your design into a conceptual schema for relational, object-relational, and object-oriented DBMSs.
* Offers practical examples of design for Oracle, SQL Server, Sybase, Informix, Object Design, POET, and other database management systems.
* Focuses heavily on re-using design patterns for maximum productivity and teaches you how to certify completed designs for re-use.

DB2 Universal Database (UDB) supports many different types of applications, on many different kinds of data, in many different software and hardware environments.

This book provides a complete guide to DB2 UDB Version 5 in all its aspects, including the interfaces that support end users, application developers, and database administrators. It is complementary to the IBM product documentation, providing a clear and informal explanation of how the features of DB2 were intended to be used. It is an extensive revision of the author's earlier book, "Using the New DB2: IBM's Object-Relational Database System."
* Offers complete and self-contained information, and does not assume prior knowledge of DB2, SQL, or relational database concepts
* Covers elementary principles of database management as well as the advanced features of UDB, including recursive queries, constraints, triggers, user-defined datatypes, stored procedures, parallel databases, and graphical tools for database administration
* Includes dozens of practical tips that will save readers many hours of work in developing database applications
* Provides hundreds of tested examples written in SQL, C, C++, and Java, all of which are available on the MKP web site

"The first magnetic recording device was demonstrated and patented by the Danish inventor Valdemar Poulsen in 1898. Poulsen made a magnetic recording of his voice on a length of piano wire. MAGNETIC RECORDING traces the development of the watershed products and the technical breakthroughs in magnetic recording that took place during the century from Paulsen's experiment to today's ubiquitous audio, video, and data recording technologies including tape recorders, video cassette recorders, and computer hard drives.
An international author team brings a unique perspective, drawn from professional experience, to the history of magnetic recording applications. Their key insights shed light on how magnetic recording triumphed over all competing technologies and revolutionized the music, radio, television and computer industries. They also show how these developments offer opportunities for applications in the future.
MAGNETIC RECORDING features 116 illustrations, including 92 photographs of historic magnetic recording machines and their inventors."
Sponsored by:
IEEE Magnetics Society

The potential business advantages of data mining are well documented in publications for executives and managers. However, developers implementing major data-mining systems need concrete information about the underlying technical principles and their practical manifestations in order to either integrate commercially available tools or write data-mining programs from scratch. This book is the first technical guide to provide a complete, generalized roadmap for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.
Note: If you already own Predictive Data Mining: A Practical Guide, please see ISBN 1-55860-477-4 to order the accompanying software. To order the book/software package, please see ISBN 1-55860-478-2.
+ Focuses on the preparation and organization of data and the development of an overall strategy for data mining.
+ Reviews sophisticated prediction methods that search for patterns in big data.
+ Describes how to accurately estimate future performance of proposed solutions.
+ Illustrates the data-mining process and its potential pitfalls through real-life case studies."

Case-based reasoning (CBR) is an intelligent-systems method that enables information managers to increase efficiency and reduce cost by substantially automating processes such as diagnosis, scheduling and design. A case-based reasoner works by matching new problems to "cases" from a historical database and then adapting successful solutions from the past to current situations. Organizations as diverse as IBM, VISA International, Volkswagen, British Airways, and NASA have already made use of CBR in applications such as customer support, quality assurance, aircraft maintenance, process planning, and decision support, and many more applications are easily imaginable.
It is relatively simple to add CBR components to existing information systems, as this book demonstrates. The author explains the principles of CBR by describing its origins and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Through case studies and step-by-step examples, he goes on to show how to design and implement a reliable, robust CBR system in a real-world environment. Additional resources are provided in a survey of commercially available CBR tools, a comprehensive bibliography, and a listing of companies providing CBR software and services.

This is an introductory textbook in data analysis and statistics, designed for students in the first year of a social sciences degree. The key concepts of data analysis are explained in a clear and straightforward manner, avoiding unnecessary jargon. Very little mathematical knowledge is assumed on the part of the reader, and a variety of examples are used to illustrate the ideas and techniques.

One of the central aims of the text is to ensure that students understand the basic principles of exploratory data analysis before they become involved in manipulating large quantities of data. Hence the author generally uses small data sets to introduce the key concepts, and gradually moves towards the handling of larger data sets.

The text uses the Minitab computer analysis package, which is one of the most popular statistical packages available in institutions of higher and further education. Students are told how to use the package before they are introduced to the ideas of methods of data analysis.

This clear, jargon-free textbook will be an invaluable aid for students beginning courses in the social sciences and related fields, such as social policy, business studies and health care.

Die Titel "Prufungsvorbereitung fur Gross- und Aussenhandelskaufleute" geben Tips zum richtigen Lesen und Verstehen von Prufungsfragen sowie Denkanstosse zum Finden der jeweiligen Losungen. Angehende Gross- und Aussenhandelskaufleute erhalten mit diesem Lern- und Arbeitsbuch einen optimalen Einstieg in die Prufungsvorbereitung. Die Prufungskandidaten konnen ihre Fahigkeiten anhand der Musterlosungen selbst testen und ausbauen und sich so die notige Sicherheit aneignen, die sie fur die Prufungen brauchen.
Die Bucher entstanden aus der unmittelbaren Unterrichtspraxis und sind optisch so gut aufbereitet, dass es Spass macht, mit ihnen zu arbeiten."

Algorithmen werden von Grundprinzipien bis Implementierungsdetails genau besprochen Verstandlichkeit und Anschaulichkeit mit Schritt-fur-Schritt-Anleitungen Praxisorientierte und verstandlichen Darstellung der Arbeitsweise von Algorithmen Umfangreiche praktische Beispiele aus dem Ingenieuralltag

Anhand einer verstandlichen und ansprechenden Anwendung aus dem Bereich der Tinnitusforschung werden wiederkehrende Problemstellungen und Muster im Bereich mobiler App-Entwicklung analysiert und diskutiert. Dazu erlautern die Autoren die Programmierkonzepte, Techniken, Frameworks und Mechanismen, welche fur die Umsetzung dieser Musteranwendung relevant sind. Der Leser soll weitreichende Einblicke und Analysemethoden an die Hand bekommen, um Projekte zur Entwicklung mobiler Apps besser und effektiver durchfuhren zu koennen. Das Buch dient somit als wichtige Entscheidungshilfe fur die Realisierung mobiler Anwendungen, die entweder eigenstandig oder in Verbindung mit Fremdsystemen entwickelt werden mussen und die zudem aktuelle Techniken verwenden sollen. Dazu wird die Anwendung beispielhaft mit einem mobilen Framework entwickelt. Weitere Frameworks werden mitdiskutiert. So entsteht Schritt fur Schritt die Anwendung und die einzelnen architektonischen Bausteine werden eingefuhrt und didaktisch aufbereitet. Erganzend wird auf spezielle Paradigmen eingegangen, die den Frameworks zugrunde liegen.

Das Buch bietet einen umfassenden UEberblick uber die Anwendung und Implementierung von Business-Intelligence-Loesungen im Personalmanagement. Business-Intelligence-Systeme finden als Analyse- und Planungssysteme verbreitete Anwendung in vielfaltigen Unternehmensbereichen wie Vertrieb/Customer Relationship Management, Logistik/Supply Chain Management sowie Personalmanagement. Daher beschaftigt sich Autoren und Herausgeber intensiv mit der Anwendung von Business-Intelligence-Systemen im Personalmanagement und geben einen ausfuhrlichen systematischen Einblick in entsprechende grundlegende technologische Konzepte und personalwirtschaftliche Anforderungen. Ziel des Buches ist daher eine spezifisch auf die Anwendungsdomane Personalmanagement ausgerichtete Ausarbeitung der Business-Intelligence-Konzeption in technischer und fachlicher Hinsicht.