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XML and Java: Developing Web Applications
A Fully Integrated Study System for OCP Exam 1Z0-050
Prepare for the Oracle Certified Professional Oracle Database 11g New Features for Administrators exam with help from this exclusive Oracle Press guide. In each chapter, you'll find challenging exercises, practice questions, a two-minute drill, and a chapter summary to highlight what you've learned. This authoritative guide will help you pass the test, and serve as your essential on-the-job reference. Get complete coverage of all OCP objectives for exam 1Z0-050, including:
On the CD-ROM:
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes.
Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques.
This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions.
Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.
Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book. Being one of the discoverers of DNA, he would be amazed at how his work has been applied to mankind's most important invention, the computer. DNA contains the genetic instructions for the biological development of cellular life forms or viruses. DNA computing uses DNA as a substrate for storing information, while molecular biological operations are used to manipulate this information.
DNA Computing Models begins with a comprehensive introduction to the field of DNA computing. This book emphasizes computational methods to tackle central problems of DNA computing, such as controlling living cells, building patterns, and generating nanomachines. DNA Computing Models presents laboratory-scale human-operated models of computation, including a description of the first experiment of DNA computation conducted by Adleman in 1994. It provides molecular-scale autonomous models of computation and addresses the design of computational devices working in living cells. It also addresses the important problem of proper word design for DNA computing.
DNA Computing Models is designed for researchers and advanced-level students in computers science, bioengineering and molecular biology as a reference or secondary text book. This book is also suitable for practitioners in industry.