Techncial Committee on Data Engineering
The TC on Data Engineering (TCDE) is concerned with the role of data in the design, development, management, and utilization of information systems. Issues of interest include database design; knowledge of the data and its processing; languages to describe data, define access, and manipulate databases; strategies and mechanisms for data access, security, and integrity control; and engineering services and distributed systems. The TC sponsors the Data Engineering Conference and cosponsors the International Conference on Very Large Data Bases. It is involved with other conferences, symposia, and workshops, and publishes a quarterly newsletter.
International Conference on Semantics, Knowledge and Grid (SKG) 29 - 31 October 2007, Xi'an, China. The International Conference on Semantics, Knowledge and Grid (SKG) is a cross-area international forum on semantic computing, knowledge networking, and grid computing. SKG promotes cross-area research and pushes the development of relevant areas. SKG2007 will be held in Xi'an, a city with 3100 years' history.
8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'07) 16 - 19 December 2007, Birmingham, United Kingdom. IDEAL is an annual conference dedicated to emerging and challenging topics in intelligent data analysis and engineering and their associated learning paradigms. After successful recent events in Burgos (2006), Brisbane (2005), Exeter (2004), Hong Kong (2003), and Manchester (2002), IDEAL 07 will be held in the well-established, vibrant midland city of England, Birmingham, the second largest city in the UK.
The 24th International Conference on Data Engineering (ICDE 2008) 7 - 12 April 2008, Cancun, Mexico. Data Engineering deals with the use of engineering techniques and methodologies in the design, development and assessment of information systems for different computing platforms and application environments. The 24th IEEE International Conference on Data Engineering will continue in its tradition of being a premier forum for presentation of research results and advanced data-intensive applications and discussion of issues on data and knowledge engineering. The mission of the conference is to share research solutions to problems of today's information society and to identify new issues and directions for future research and development work.
Data Mining: Concepts, Models, Methods, and Algorithms - Mehmed Kantardzic - Describes the often complex and sophisticated tools used in automatic data analysis such as analyzing a customer?s previous buying habits
- Emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning
- 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 mine
Knowledge Structures for Communications in Human-Computer Systems: General Automata-Based - Eldo C. Koenig A comprehensive look at General automata and how it can be used to establish the fundamentals for communication in human-computer systems.
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The IEEE Transactions on Knowledge and Data Engineering is an archival journal published monthly. The information published in this Transactions is designed to inform researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area. We are interested in well-defined theoretical results and empirical studies that have potential impact on the acquisition, management, storage, and graceful degeneration of knowledge and data, as well as in provision of knowledge and data services. Specific topics include, but are not limited to: a) artificial intelligence techniques, including speech, voice, graphics, images, and documents; b) knowledge and data engineering tools and techniques; c) parallel and distributed processing; d) real-time distributed; e) system architectures, integration, and modeling; f) database design, modeling and management; g) query design and implementation languages; h) distributed database control; j) algorithms for data and knowledge management; k) performance evaluation of algorithms and systems; l) data communications aspects; m) system applications and experience; n) knowledge-based and expert systems; and, o) integrity, security, and fault tolerance.
Data & Knowledge Engineering - elsevier
Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest.
Knowledge engineering - Wikipedia, the free encyclopedia
In this view, the assumption is to apply conventional knowledge engineering techniques to transfer human knowledge into artificial intelligent systems.
Data Mining Techniques
Data Mining is an analytic process designed to explore data (usually large amounts of data - typically business or market related) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data.
Statistical Data Mining Tutorials
The following links point to a set of tutorials on many aspects of statistical data mining, including the foundations of probability, the foundations of statistical data analysis, and most of the classic machine learning and data mining algorithms.
Oracle Data Mining
Oracle Data Mining (ODM) an option to Oracle Database 10g Enterprise Edition enables you to produce actionable predictive information and build integrated business intelligence applications.
Interactive Software and Game Techniques to Enhance Teaching and Learning
The Intelligent Information Systems Research (aka. Quest) group designs information systems that enable the preservation of the privacy and ownership of data while not impeding the flow of information.
Library of Free Data Models from DatabaseAnswers.org
We provide a Library of free Data Models and Database designs.
DeZign for Databases Database Modeling Tool
Database design and modeling tool - DeZign for Databases. Features: visual database design, modeling ER Diagrams (ERD), Reverse Engineering, ...
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