Transactions on Large-Scale Data- and Knowledge-Centered Systems II

This special issue of TLDKS contains two kinds of papers. First, it contains a sel- th tion of the best papers from the 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009), which was held from August 31 to S- tember 2, 2009 in Linz, Austria. Second, it contains a special section of papers on a particularly challenging domain in information retrieval, namely patent retrieval. Over the last decade, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has established itself as one of the most important international scientific events within data warehousing and knowledge discovery. DaWaK brings together a wide range of researchers and practitioners working on these topics. The DaWaK conference series thus serves as a leading forum for discu- th ing novel research results and experiences within the field. The 11 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009) cont- ued the tradition by disseminating and discussing innovative models, methods, al- rithms, and solutions to the challenges faced by data warehousing and knowledge discovery technologies.

Contains in-depth, up-to-date papers on data warehousing and knowledge discovery Addresses specific challenges faced by retrieval engines in highly specialized domains of large volume data Includes a detailed preface by the Guest Editors, introducing the topics discussed in the papers

Autorentext
Roland Wagner, Kunsthistoriker und Germanist, ist Stipendiat der Fazit-Stiftung und Spezialist für den Einfluss der Philosophie Friedrich Nietzsches auf die Kunst.

Klappentext

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind applicational development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolvement of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the second issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, consists of journal versions of selected papers from the 11th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2009). In addition, it contains a special section focusing on the challenging domain of patent retrieval.

Inhalt
Data Warehousing and Knowledge Discovery.- Discovery of Frequent Patterns in Transactional Data Streams.- Fast Loads and Queries.- Efficient Online Aggregates in Dense-Region-Based Data Cube Representations.- Information Retrieval.- Improving Access to Large Patent Corpora.- Improving Retrievability and Recall by Automatic Corpus Partitioning.