Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard.
The book discusses and illustrates how to solve real problems using the JDM API. The authors provide you with:
* Data mining introduction an overview of data mining and the problems it can address across industries; JDM s place in strategic solutions to data mining-related problems;
* JDM essentials concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects;
* JDM in practice the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API.
* Free, downloadable KJDM source code referenced in the book available here
* Data mining introduction an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems;
* JDM essentials concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects;
* JDM in practice the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API.
* Free, downloadable KJDM source code referenced in the book available here"

Relational Database Systems provides a timely introduction to the type of systems that are the current mainstay of the database management field. This book serves as a text for advanced undergraduate and graduate students, as well as an informative reference for researchers and professionals in all database aspects of computer science. It presents important querying systems including SQL and QUEL, and covers their respective theoretical foundations in relational algebra, tuple calculus, and domain calculus.
The presentation of SQL adheres to the ANSI standard; however, the book discusses the most popular SQL dialects; a separate chapter covers imbedded SQL. The text also contains references to many significant relational database products, including INGRES, ORACLE, DB2, PARADOX, and SYBASE.
Relational Database Systems concentrates on those issues that are most relevant to database design and application development. Exercises that constitute important extensions of the material are provided at the end of each chapter. The book assumes a knowledge of programming languages and datastructures, and some mathematical induction.
Key Features
* Includes coverage of embedded SQL, the most important existing application development tool
* Presents query systems within their theoretical context
* Discusses supporting mathematical theory
* Offers a comparison of SQL dialects
* Provides supplemental exercises for each chapter
* Contains references to significant relational database products, including INGRES, ORACLE, DB2, PARADOX, and SYBASE

Information science is the study of information phenomena, including the acquisition, storage, and manipulation of data, information, and knowledge. It is by nature an interdisciplinary field. Researchers, managers, system users, and students need access to tools, terms, and techniques that are spread out over a large literature in a number of different disciplines: information retrieval, database management, office information systems, information technology, communication and networking, relevant computer hardware, and artificial intelligence.
This work facilitates the cross-use terms from the various contributing sub-areas of information science. With definitions of one-thousand terms, in alphabetical order, the volume provides a unified, integrated, and concise guide to the field. Each term is annotated by one or more references to the literature. Where possible, the first reference directs the user to a basic or seminal discussion of the term and subsequent references show its usage in an information science-related application. This work will be an indispensable reference for students, researchers, and professionals.
Key Features
* Contains one-thousand entries and more than 100 illustrations and tables
* Many entries include enough information (examples, diagrams, and formulas) to allow the reader to make use of the term, model, or algorithm in his or her own application
* An extensive bibliography (more than 300 references) guides the reader to the details of concepts described in the guide--nearly every entry is annotated by one or more references, both to seminal or basic discussions of the concept and to works that demonstrate its usage in an information science-related application
* Each term is followed by a number "key" into the detailed subject outlines at the back of the book, so that each item is given a context within a subject area
* Entries focus on fundamental concepts, rather that specific technologies

This book gives a theoretical base and a perspective for the analysis, design, and operation of information systems, particularly their information storage and retrieval (ISAR) component, whether mechanized or manual. Information systems deal with many types of entities: events, persons, documents, business transactions, museum objects, research projects, and technical parts, to name a few. Among the purposes the serve are to inform the public, to support managers, researchers, and engineers, and to provide a knowledge base for an artificial intelligence program. The principles discussed in this book apply to all these contexts. The book achieves this generality by drawing on ideas from two conceptually overlapping areas-data base management and the organization and use of knowledge in libraries-and by integrating these ideas into a coherent framework. The principles discussed apply to the design of new systems and, more importantly, to the analysis of existing systems in order to exploit their capabilities better, to circumvent their shortcomings, and to introduce modifications where feasible.

"Data Modeling Essentials, Third Edition" provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management.
The third edition of this popular book retains its distinctive hallmarks of readability and usefulness, but has been given significantly expanded coverage and reorganized for greater reader comprehension. Authored by two leaders in the field, "Data Modeling Essentials, Third Edition" is the ideal reference for professionals and students looking for a real-world perspective.
- Thorough coverage of the fundamentals and relevant theory.
- Recognition and support for the creative side of the process.
- Expanded coverage of applied data modeling includes new chapters on logical and physical database design.
- New material describing a powerful technique for model verification.
- Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.
- Extensive online component including course notes and other teaching aids (www.mkp.com).
UML diagrams now available! Visit the companion site for more details.
Click here to view a book review by Steve Hoberman!