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Data Modeling
Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
CD-ROM contains the actual models that are described in the book, providing examples of the most commonly asked data mining questions regarding marketing, sales, and customer support applications. Complete working code written in SAS, the most popular mining modeling language, is also provided. Readers can use the CD-ROM to directly implement the models for business use- -resulting in better campaigns, improved customer service, and increased profits.
Data Modeler's Workbench: Tools and Techniques for Analysis and Design
This manual introduces 20 tools for improving the speed, accuracy, flexibility, and consistency of databases, data warehouses, and operational applications. Each tool is explained using detailed examples, its applications are described, and its optimal operational and reporting environment identified. Particular attention is given to the system's foundation, the process of identifying its requirements, and the modeling of its requirements.
The Data Modeling Handbook: A Best-Practice Approach to Building Quality Data Models
This practical, field-tested reference doesn't just explain the characteristics of finished, high-quality data models--it shows readers exactly how to build one. It presents rules and best practices in several notations, including IDEFIX, Martin, Chen, and Finkelstein. The book offers dozens of real-world examples and go beyond basic theory to provide users with practical guidance.
Data Mining Using SAS Applications
Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet user-friendly SAS macro-call files. These methods stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data. The text furnishes 13 easy- to-use SAS data mining macros designed to work with the standard SAS modules. No additional modules or previous experience in SAS programming is required. The author shows how to perform complete predictive modeling, including data exploration, model fitting, assumption checks, validation, and scoring new data, on SAS datasets in less than ten minutes!
Data Mining: Concepts, Models, Methods and Algorithms
Describes representative state of the art methods and algorithms originating from different disciplines. Offers guidance on how and when to use a particular software tool from among the hundreds offered when faced with a data set to mining.
The Data Model Resource Book, Volume 2, A Library of Data Models for Specific Industries, Revised Edition
If you’ve relied on The Data Model Resource Book, Revised Edition, Volume 1 (0-471-38023-7) to jump-start your system development efforts, then you know that using a library of proven data models and data warehouse designs can produce huge savings in development costs. But what about the unique needs of your industry?
Data Model Patterns: Conventions of Thought
Analyzes data structures common to many types of businesses in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents, for analysts who have learned the basics of data modeling (or entity/relationship modeling) but who need more insight to prepare a model of a real business. Includes b&w diagrams, and a set of ready-to-use models for typical applications in many industries.
Modern Database Systems: The Object Model, Interoperability, and Beyond
Essays illustrate technical issues involved in the transition to new database technologies and interoperability between database systems and file systems. They survey emerging technologies, focusing on post- relational technologies such as object- oriented database systems and functional extensions, and multidatabase systems offering interoperability worldwide. They describe working multidatabase system and their requirements, and discuss components of next-generation database systems.
The Database Relational Model: A Retrospective Review and Analysis
A consultant specializing in relational databases, Date reviews the relational model that E. F. Codd loosed on the world in a series of paper from 1969 to 1979. He says that though the concept was revolutionary at the time and has changed databases entirely, many in the community seem to consider it passe and no longer relevant. Among other things, he clarifies some of the obscurity of the original papers.
Information Modeling and Relational Databases: From Conceptual Analysis to Logical Design
The information revolution is in motion, and sound database design will drive the ease of data handling and, in turn, improve the results of business practices. A timely topic, then, is Object-Role Modeling (ORM), a way to design and query databases via an application written in lay terms. Halpin expertly explains ORM as well as other solid database design practices so that even seasoned pros will learn something new. Designers, programmers, systems analysts, and managers will discover everything they need to know about database design. Complete with a companion web site, this is highly recommended for libraries serving techies.
Advances in Database Technologies
This book presents the thoroughly refereed joint post- proceedings of three workshops held during the 17th International Conference on Conceptual Modeling, ER '98, in Singapore in November 1998. The 50 revised papers presented have gone through two rounds of reviewing and revision. The book is divided in sections on knowledge discovery, data mining, data and web warehousing, multidimensional databases, data warehouse design, caching, data dissemination, replication, mobile networks, mobile platforms, tracking and monitoring, collaborative work support, temporal data modelling, moving objects and spatial indexing, spatio-temporal databases, and video database contents.
Data Modeling
Focusing on fundamental data modeling concepts, this text prepares readers to design, build, and implement systems of higher organizational value.
Data Modeling for Everyone
Data modeling is about gathering, documenting, and communicating the elements and structure of business information. What begins as a conceptual interplay of logical data units, through the application of relational theory, becomes the basis for creating a physical database design. Data modeling is a core skill for data professionals, and is a full time job for a small but growing number of IT practitioners. It is a crucial stage prior to good quality relational database design.
Business Intelligence: The Savvy Manager's Guide
Business Intelligence describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality, data warehousing, and data mining. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. The book contains a quick reference guide for business intelligence terminology. Business Intelligence is part of Morgan Kaufmann's Savvy Manager's Guide series.
Managing Reference Data in Enterprise Databases
This book describes the different aspects of managing reference data. It is the only book available on this topic and provides both a conceptual foundation and practical advice. It is oriented to a general audience and can be read by both IT professionals and anyone with an interest in how an enterprise should manage its information. Some data modeling notations are used, but these are explained at the beginning of the book. Reference data concepts are introduced and their importance is explored. The management consequences of the unique characteristics of reference data are then described, along with techniques for managing reference data.
An Introduction to Database Systems, Eighth Edition
Amazon.com
The newest edition of the classic An Introduction to Database Systems incorporates the latest developments in relational databases, including semantic modeling, decision support, and temporal modeling. There's better information on distributed databases, security, and the mathematics of relational databases too. With the same strong coverage of fundamental theory that made its predecessors stand out, this book ranks as the definitive textbook for those studying database systems.
This is an extraordinarily academic book. In his preface, C.J. Date goes so far as to lament having to use Structured Query Language (SQL) in some of his examples because it's "so far from being a true embodiment of relational principles." What's more, he writes in a very academic style, peppering his heavily footnoted prose with mathematical expressions and words like relevar and tuple. The academic style and highbrow language isn't a b
The Functional Approach to Data Management: Modeling, Analyzing, and Integrating Heterogeneous Data
People working in a database-driven intranet or Web-based systems often face the problem how to uniformly access data from heterogeneous local and remote sources. This book combines the functional style of programming with a view of data that is not confined to the well known array and record structures. Programs are written in a style that is independent of data storage representation and thus it becomes easier to compute with a mix of data that comes from different kinds of databases: object oriented to triple store or semi-structured or relational. Readers will learn how the high level of abstraction will enable them to recompile their programs for different storage schemas thus avoiding many of the problems of legacy software.
Data Model Patterns: A Metadata Map
In recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the importance to integrate the data that has traditionally only been available from disparate sources.
An important component of this integration is the management of the metadata that describe, catalogue, and provide access to the various forms of underlying business data. The metadata repository is essential keeping track both of the various physical components of these systems, but also their semantics. What do we mean by customer? Where can we find information about our customers?
After years of building enterprise models for the oil, pharmaceutical, banking, and other industries, Dave Hay has here not only developed a conceptual
Foundations of Multidimensional and Metric Data Structures
The field of multidimensional data structures is large and growing very
quickly. Here, for the first time, is a thorough treatment of
multidimensional point data, object and image-based representations,
intervals and small rectangles, and high-dimensional datasets.
The
book includes a thorough introduction; a comprehensive survey to
spatial and multidimensional data structures and algorithms; and
implementation details for the most useful data structures. Along with
the hundreds of worked exercises and hundreds of illustrations, the
result is an excellent and valuable reference tool for professionals in
many areas, including computer graphics, databases, geographic
information systems (GIS), game programming, image processing, pattern
recognition, solid modeling, similarity retrieval, and VLSI design.
Data Modeling Made Simple
Ever have a bad data day? If you're a business user, architect, analyst, designer or developer, then you've probably had some bad data days. It comes with the territory. Overcoming these problems is much easier if you have an in-depth understanding of the actual data. That's where a data model comes in handy. It's a diagram that uses text and symbols to represent groupings of data, giving you a clear picture of your business and application environment. Data Modeling Made Simple provides the tools you need to read, create and validate models of your business and applications.
Data Modeling Theory and Practice
This book is for practitioners and academics who have learned the conventions and rules of data modeling and are looking for a deeper understanding of the discipline. The coverage of theory includes a detailed review of the extensive literature on data modeling and logical database design, referencing nearly 500 publications, with a strong focus on their relevance to practice. The practice component incorporates the largest-ever study of data modeling practitioners, involving over 450 participants in interviews, surveys and data modeling tasks. The results challenge many longstanding held assumptions about data modeling and will be of interest to academics and practitioners alike.
Data Modeling Fundamentals: A Practical Guide for IT Professionals
A ONE-STOP, DEFINITIVE GUIDE TO DATA MODELING FOR IT PROFESSIONALS
Data Modeling Fundamentals is a comprehensive guide to the foundation and principles behind data modeling and its essential role in successful database design.
The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.
Arc Marine: GIS for a Blue Planet
Authors of the book Arc Marine discuss results of a successful effort to create and define a data model for academic, government, military, and private oceanographers, resource managers, conservationists, geographers, nautical archaeologists, and analysts and managers of marine applications. Arc Marine is the perfect starting point for the intermediate marine student as well as a resource for the marine GIS expert. At a time when health of our oceans is seen as crucial to our existence, marine researchers have developed a data model that supports sea floor mapping, fisheries management, marine mammal tracking, monitoring shoreline change, and water temperature analysis. This book enables marine professionals to do better work.
Information Modeling and Relational Databases
Information Modeling and Relational Databases, second edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design.
