الصفحة 1
الصفحة 1
Web Information Systems Engineering - WISE 2008; 9th International Conference, Auckland, New Zealand, September 1-3, 2008. Proceedings
This book is organized in topical sections on grid computing and peer-to-peer systems; Web mining; rich Web user interfaces; semantic Web; Web information retrieval; Web data integration; queries and peer-to-peer systems; and Web services.
Web Information Systems Engineering - WISE 2008 Workshops ; WISE 2008 International Workshops, Auckland, New Zealand, September 1-4, 2008. Proceedings
The First International Workshop on Web Information Systems Engineering for Electronic Businesses and Governments (E-BAG 2008), The Second International Workshop on Web Usability and Accessibility (IWWUA 2008), and The First International Workshop on Mashups, Enterprise Mashups and Lightweight Composition on theWeb (MEM and LCW 2008).
Web Information Systems and Technologies ; 3rd International Conference, WEBIST 2007, Barcelona, Spain, March 3-6, 2007, Revised Selected Papers
Covers topics on internet technology; Web interfaces and applications ; society, e-business and e-government; and e-learning.
Visual Data Mining : Theory, Techniques and Tools for Visual Analytics
The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.
Trust in Agent Societies ; 11th International Workshop, TRUST 2008, Estoril, Portugal, May 12 -13, 2008. Revised Selected and Invited Papers
Organized in ternary topical sections on theoretical and applicative aspects of trust (from a engineering, cognitive, computational, sociological point of view), on formal models in the field of applied logic and applied mathematics, and finally on models of reputation systems, theory-driven and empirically backed-up guidelines for designing reputation technologies, and analysis and discussion of existing reputation systems.
Troubleshooting Oracle Performance
What do you do when your database application isn't running fast enough? You troubleshoot, of course. Finding the slow part of an application is often the easy part of the battle. It's finding a solution that's difficult. Troubleshooting Oracle Performance helps by providing a systematic approach to addressing the underlying causes of poor database application performance. Written for developers by an application developer who has learned by doing Gives a systematic approach to solving database application performance problems. Helps you plan for performance as you would for any other application requirement
Transactions on Rough Sets VIII
This volume of TRS presents papers that introduce a number of new - vances in the foundations and applications of arti?cial intelligence, engineering, logic, mathematics, and science. These advances have signi?cant implications in a number of researchareas.In addition, it is evident from the papers included in this volume that roughset theoryand its application forma veryactiveresearch area worldwide.
The Web Resource Space Model
Classifying objects into categories at different granularity levels, establishing links between known objects, and discovering clues between known and unknown objects are essential for new-generation semantic data models. This book introduces the Resource Space Model (RSM), which effectively organizes and correctly manages resources by normalizing classification semantics.
The Relational Database Dictionary ; Extended ed.
Chris Date, one of the founders of the relational model, has updated and expanded his relational database dictionary to include more than 900 terms.
The Institutional Compass : Method, Use and Scope
Presents a new generation multi-criteria, multi-stake holder, decision aide, called an "institutional compass". Based on hard data, the compass tells us what quality-direction we are heading in as an institution, region, system or organisation. The quality is not chosen from the usual scalar qualities of: good, neutral and bad. Instead, it is a quality chosen between: harmony, discipline and excitement. None is good in and of itself. We need some of each.
Stream Data Management
Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data.
SQL Server 2008 Transact-SQL Recipes : A Problem-Solution Approach
SQL Server 2008 Transact–SQL Recipes: A Problem–Solution Approach is an example–based guide to the Transact–SQL language that is at the core of SQL Server 2008. Learn to create databases, insert and update data, generate reports, secure your data, and more. Author Joseph Sack takes common Transact–SQL tasks and breaks them down into a problem/solution format that is quick and easy to read so that you can get the job done fast when the pressure is on.
Software Technologies for Embedded and Ubiquitous Systems ; 6th IFIP WG 10.2 International Workshop, SEUS 2008, Anacarpi, Capri Island, Italy, October 1-3, 2008 Proceedings
This book includes model-driven development; middleware; real time; quality of service and performance; applications; pervasive and mobile systems: wireless embedded systems; synthesis, verification and protection.
Software and Data Technologies ; 1st International Conference, ICSOFT 2006, Setúbal, Portugal, September 11-14, 2006, Revised Selected Papers
This book is organized in topical sections on programming languages, software engineering, distributed and parallel systems, information systems and data management, as well as knowledge engineering.
Soft Computing for Knowledge Discovery and Data Mining
The first three parts of this book are devoted to the principal constituents of soft computing: neural networks, evolutionary algorithms and fuzzy logic. The last part compiles the recent advances in soft computing for data mining, such as swarm intelligence, diffusion process and agent technology. This book provides investigators in the fields of information systems, engineering, computer science, operations research, bio-informatics, statistics and management with a profound source for the role of soft computing in data mining.
SOFSEM 2008: Theory and Practice of Computer Science ; 34th Conference on Current Trends in Theory and Practice of Computer Science, Nový Smokovec, Slovakia, January 19-25, 2008. Proceedings
This book is segmented into four topical sections on foundations of computer science; computing by nature; networks, security, and cryptography; and Web technologies.
SOFSEM 2007 : Theory and Practice of Computer Science ; 33rd Conference on Current Trends in Theory and Practice of Computer Science, Harrachov, Czech Republic, January 20-26, 2007, Proceedings
Contains the invited and the contributed papers selected for presentation at SOFSEM 2007, the 33rd Conference on Current Trends in Theory and Practice of Computer Science, held January 20–26, 2007 in Hotel Skl´aˇr, Harrachov, in the Czech Republic. SOFSEM (originally SOFtware SEMinar) aims to foster cooperation among professionals from academia and industry working in all modern areas of computer science.
SOFSEM 2006 : Theory and Practice of Computer Science ; 32nd Conference on Current Trends in Theory and Practice of Computer Science, Merin, Czech Republic, January 21-27, 2006, Proceedings
Presents the proceedings of the 32nd Conference on Current Trends in Theory and Practice of Computer Science, held in Merin, Czech Republic. The 45 revised full papers, presented together with 10 invited contributions were carefully reviewed and selected from 157 submissions. The papers were organized in four topical tracks on computer science foundations, wireless, mobile, ad hoc and sensor networks, database technologies, and semantic Web technologies
Snowflake Essentials : Getting Started with Big Data in the Cloud
Understand the essentials of the Snowflake Database and the overall Snowflake Data Cloud. This book covers how Snowflake’s architecture is different from prior on-premises and cloud databases. The authors also discuss, from an insider perspective, how Snowflake grew so fast to become the largest software IPO of all time. You will learn : Run analytics in the Snowflake Data Cloud / Create users and roles in Snowflake / Set up security in Snowflake / Set up resource monitors in Snowflake / Set up and optimize Snowflake Compute / Load, unload, and query structured and unstructured data (JSON, XML) within Snowflake / Use Snowflake Data Sharing to share data / Set up a Snowflake Data Exchange / Use the Snowflake Data Marketplace
Simplifying data engineering and analytics with delta : Create analytics-ready data that fuels artificial intelligence and business intelligence
Data engineers, data scientists, ML practitioners, BI analysts, or anyone in the data domain working with big data will be able to put their knowledge to work with this practical guide to executing pipelines and supporting diverse use cases using the Delta protocol. Basic knowledge of SQL, Python programming, and Spark is required to get the most out of this book.
