Titlebook: Data Warehousing and Knowledge Discovery; 4th International Co Yahiko Kambayashi,Werner Winiwarter,Masatoshi Arik Conference proceedings 20

Prognosis

An Algorithm for Building User-Role Profiles in a Trust Environment1ole Based Access Control Methods (RBAC). RBAC architectures do not deal with each user separately, but with discrete roles that users can acquire in the system. The goal of this paper is to present a classification algorithm that during its training phase, classifies roles of the users in clusters.

nascent

Neural-Based Approaches for Improving the Accuracy of Decision Treesme. The dependencies among attributes are not considered in those algorithms. Unfortunately, in the real world, most datasets contain attributes, which are dependent. Generally, these dependencies are classified into two types: categorical- type and numerical-type dependencies. Thus, it is very impo

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indicate

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IRK

周興旺

Outlier Detection Using Replicator Neural Networksa mining to identify problems with the data itself, and to fraud detection where groups of outliers are often of particular interest. We use replicator neural networks (RNNs) to provide a measure of the outlyingness of data records. The performance of the RNNs is assessed using a ranked score measur

perjury

The Closed Keys Base of Frequent Itemsetse representations of frequent itemsets have been investigated. In this paper, we present yet another concise representation of frequent itemsets, called the closed keys representation, with the following characteristics: (i) it allows to determine if an itemset is frequent, and if so, the support of

nutrition

New Representation and Algorithm for Drawing RNA Structure with Pseudoknots*nd a possibly nonplanar graph) with inner cycles within a pseudoknot as well as possible outer cycles formed between a pseudoknot and other structural elements. Thus, drawing RNA pseudoknot structures is computationally more difficult than depicting RNA secondary structures. Although several algorit

PAD416