Titlebook: Knowledge Discovery in Databases: PKDD 2003; 7th European Confere Nada Lavra?,Dragan Gamberger,Hendrik Blockeel Conference proceedings 2003

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ARENA

Two-Eyed Algorithms and Problemshe algorithm is processing. The main example I discuss is RF/tools, a collection of algorithms for classification, regression and multiple dependent outputs. The last algorithm is a preliminary version and further progress depends on solving some fascinating questions of the characterization of depe

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Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditionatribution of a company’s customers in geographical space? How long should we expect a nearest-neighbor search to take, when there are 100 attributes per patient or customer record? The traditional assumptions (uniformity, independence, Poisson arrivals, Gaussian distributions), often fail miserably.

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Efficient Statistical Pruning of Association Rulesg of hundreds to millions of patterns, of which few are likely of interest. In this paper we present a probabilistic metric to filter association rules that can help highlight the important structure in the data. The proposed filtering technique can be combined with maximal association mining algori

commensurate

Majority Classification by Means of Association Rulessignment of the class label on a single classification rule. In this work we propose the assignment of the class label based on simple majority voting among a group of rules matching the test case..We propose a new algorithm,., which is based on previously proposed algorithm ... ... performed a redu

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