Flexible and efficient information handling

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InhaltsverzeichnisInvited Papers. The Lixto Project explores new frontiers in web data extraction. An overview of SD-SQL Server presents a scalable distributed database system. Data modeling, architectures, and transaction management are discussed, alongside using UML’s sequence diagrams for representing execution models related to triggers. The experimental use of the TransrelationalTM model for data warehousing is examined, along with methods to reduce sub-transaction aborts and blocking time within atomic commit protocols. Data integration, interoperability, and information retrieval are key topics, including query translation for distributed heterogeneous databases and evaluation with partial relevance judgment. Sources of incompleteness in grid publishing and query processing optimization are also addressed. Privacy preservation is emphasized through extended generalized partial indices. Optimal ordering of maps, selections, and joins under factorization is explored, as well as an I/O optimal skyline query algorithm. Data mining techniques include a novel clustering method based on spatial operations and an FP-tree-based method for inverse frequent set mining. An efficient system for detecting outliers in financial time series is presented. Data warehousing and decision-support systems cover efficient updates with generalized referential integrity differential files, while data streaming discusses scheduling strategies in