A thorough presentation of query processing techniques in a broad range of database systems for advanced applications. Provides the most effective query processing techniques and ways to optimize the information retrieval process. Intended for database systems designers creating advanced applications.
Almost all pathologists face legal issues when dealing with the specimens they work with on a day-to-day basis, whether it involves quality control and assurance in handling the specimens, facing the possibility of malpractice suits, or serving as an expert witness in a trial. Written in an easy to read, conversational tone, with a dose of good humor, this book fills the need for a handbook that discusses the full spectrum of legal issues that many pathologists face, written from a pathologist's point of view. Organized in 12 user-friendly chapters, the book begins with a comparison of Law and Medicine and explains the basics of the American Legal System. It continues with discussions of the impact of law on the practice of pathology, including such topics as specimens with potential legal implications, the controversy of saving organs for teaching, procuring and saving specimens for toxicology testing and DNA confirmation in identity testing. A must-have section on malpractice suits covers reasons why patients sue, what to do if sued, and reducing the chance of being sued. The author addresses expert witness testimony, including how to be an expert witness, conflicts of interest, conduct in a courtroom, what to say and what not to say. Quality control and assurance as it applies to the pathologist is also discussed. Legal implications for the information age, including the use of internet and e-mail with regard to patient confidentiality is discussed in detail. Case samples are scattered throughout the text to illustrate the principles discussed. Every term is defined in the glossary.
The 9th International Conference on Database Systems for Advanced Applications (DASFAA 2004) was held during March 17-19, 2004 on the beautiful Jeju island of Korea. The DASFAA conference provides an international forum for technical discussions among researchers, developers, and users of database - stems from academia, business, and industry. The main focus of DASFAA is on research in database theory, development of advanced DBMS technologies, and their advanced applications. A premier database conference in the Asia/Pacific region, DASFAA has been held every two years, and in many countries in the region. To promote the area further and to answer the needs of many participants, the steering committee decided to hold the conference annually. DASFAA 2004 was the first such annual conference. The conference was organized by the Special Interest Group on Databases (SIGDB) of the Korea Information Science Society and the Advanced Information Technology Research Center (AITrc) at KAIST - an engineering research center of excellence (ERC) supported by the Korea Science and Engineering Foundation (KOSEF). We had a number of sponsors who made generous contributions to make the conference successful. They are Oracle Korea, Samsung SDS, Korea Telecom Data, Inc., the United States Air Force Office of Scientific Research, the Asian Office of Aerospace Research & Development, the Army Research Office-Far East, and the Korea Advanced Institute of Science and Technology (KAIST).
This guide documents SQL: 1999Us advanced features in the same practical, "programmercentric" way that the first volume documented the language's basic features. This is no mere representation of the standard, but rather authoritative guidance on making an application conform to it, both formally and effectively.
This book constitutes the refereed proceedings of the First International Conference on High-Performance Computing and Communications, HPCC 2005, held in Sorrento, Italy in September 2005. The 76 revised full papers and 44 revised short papers presented were carefully reviewed and selected from 273 submissions. The papers are organized in topical sections on network protocols, routing, and algorithms; languages and compilers for HPC; parallel and distributed system architectures; embedded systems; parallel and distributed algorithms, wireless and mobile computing, Web services and Internet computing; peer-to-peer computing, grid and cluster computing, reliability, fault-tolerance, and security; performance evaluation and measurement; tools and environments for software development; distributed systems and applications; high performance scientific and engineering computing; database applications and data mining; HPSRF; pervasive computing and communications; and LMS.
SQL: 1999 is the best way to make the leap from SQL-92 to SQL:1999, but it is much more than just a simple bridge between the two. The latest from celebrated SQL experts Jim Melton and Alan Simon, SQL:1999 is a comprehensive, eminently practical account of SQL's latest incarnation and a potent distillation of the details required to put it to work. Written to accommodate both novice and experienced SQL users, SQL:1999 focuses on the language's capabilities, from the basic to the advanced, and the ways that real applications take advantage of them. Throughout, the authors illustrate features and techniques with clear and often entertaining references to their own custom database. Gives authoritative coverage from an expert team that includes the editor of the SQL-92 and SQL:1999 standards. Provides a general introduction to SQL that helps you understand its constituent parts, history, and place in the realm of computer languages. Explains SQL:1999's more sophisticated features, including advanced value expressions, predicates, advanced SQL query expressions, and support for active databases. Explores key issues for programmers linking applications to SQL databases. Provides guidance on troubleshooting, internationalization, and changes anticipated in the next version of SQL. Contains appendices devoted to database design, a complete SQL:1999 example, the standardization process, and more.
Annotation With the growth of Java and the rise of database-powered Web applications, the need to use Java with SQL is clear. Until now, authoritative coverage of the techniques available to meet these challenges and reap their benefits-both programming and career benefits-didn't exist. Understanding SQL and Java Together examines all the standards for combining SQL and Java. It shows you exactly how to use their features to write efficient and effective code supporting Java access to SQL data in a variety of ways. You'll gain a thorough understanding of the relationship between SQL and Java, which will allow you to write static and dynamic SQL programs in Java, merge Java code with SQL databases and SQL code, and use other data management techniques wherever appropriate. * Covers all the technologies for using SQL and Java together, including JDBC, Java Blend, and SQLJ Parts 0, 1, and 2 * Explains how to embed SQL code in Java and take advantage of Java's ability to compile that code for aspecific DBMS * Explains how to store and invoke Java routines in an SQL database-and how to store Java objects in an SQL database for seamless interchange among application layers * Covers dynamic SQL access techniques using JDBC and advantageous ways to combine static and dynamic SQL * Comes with a CD-ROM containing Oracle's JDeveloper, Sybase's Adaptive Server Anywhere, Informix's Cloudscape, the complete database schema, and the complete text of most of the examples.
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. - Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods - Performance improvement techniques that work by transforming the input or output