Titlebook: Knowledge Discovery in Inductive Databases; 4th International Wo Francesco Bonchi,Jean-Fran?ois Boulicaut Conference proceedings 2006 Sprin

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FLOUR

Data Mining in Inductive Databasesly, such an inductive database is a database in which models and patterns are first class citizens..In the extensive literature on inductive databases there is at least one consequence of this operational definition that is conspicuously missing. That is the question: if we have models and patterns

PALMY

Mining Databases and Data Streams with Query Languages and Rulestical importance and the complexity of the research problems that must be solved before the vision of Inductive DBMS can become a reality. In this paper, we first discuss technical developments that have occurred since the very notion of Inductive DBMS emerged as a result of the seminal papers autho

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Memory-Aware Frequent ,-Itemset Miningto the problem of finding iceberg queries from a stream of queries suitably constructed from the original dataset. Hence, algorithms for computing frequent .-itemsets can be obtained by adapting algorithms for computing iceberg queries. In the paper we show that, for sparse datasets, this can be don

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Experiment Databases: A Novel Methodology for Experimental Researching how they behave when run on datasets. However, such experiments are often not as extensive and systematic as they ideally would be, and therefore the experimental results must be interpreted with caution. In this paper we present a new experimental methodology that is based on the concept of “ex

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Towards Mining Frequent Queries in Star Schemeslem under reasonable restrictions on the database, namely: (.) the database scheme is a star scheme; (.) the data in the database satisfies a set of functional dependencies and a set of referential constraints..We note that star schemes are considered to be the most appropriate schemes for data ware

一窩小鳥

Inductive Databases in the Relational Model: The Data as the Bridgetending SQL, with the goal of supporting the whole knowledge discovery process, from pre-processing via data mining to post-processing. A prototype system supporting the query language was developed in the SINDBAD (structured inductive database development) project. Setting aside models and focusing

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Transaction Databases, Frequent Itemsets, and Their Condensed Representations comprehend. This problem has been attacked by condensed representations of frequent itemsets that are subcollections of frequent itemsets containing only the frequent itemsets that cannot be deduced from other frequent itemsets in the subcollection, using some deduction rules. In this paper we revi