Quantitative CBA is a postprocessing algorithm for association rule classification algorithm CBA (Liu et al, 1998). QCBA uses original, undiscretized numerical attributes to optimize the discovered association rules, refining the boundaries of literals in the antecedent of the rules produced by CBA. Some rules as well as literals from the rules can consequently be removed, which makes the resul...

A common problem in KDD (Knowledge Discovery in Databases) is the presence of noise in the data being mined. Neural networks are robust and have a good tolerance to noise, which makes them suitable for mining very noisy data. However, they have the wellknown disadvantage of not discovering any high-level rule that can be used as a support for human decision making. In this work we present a met...

The paper proposes a novel trajectory based method which optimizes problems via explicit decomposition. The method is able to learn and deliver the problem structure in a comprehensible form to human researchers.

A novel ultra-high compliance, low power, very accurate and high output impedance current output stage (COS) with extremely high output current drive capability is proposed in this paper. The principle of operation of this unique structure is discussed, its most important formulas are derived and its outstanding performance is verified by HSPICE simulation in TSMC 0.18µm CMOS, BSIM3, and Level4...

This study attempts to test aspects of the input hypothesis (Krashen, 1980, 1983, 1985) and Long's modification of it (Long, 1980, 1983a, 1985). Specifically, it experimentally tests the hypothesis that both input and interactional modifications facilitate second language acquisition, using Japanese as the target language. Three experimental groups were differentiated in terms of input and inte...

Machine learning techniques have been recognized as powerful tools for the analysis of gene expression data. However, most learning techniques used in class prediction in gene expression analysis during the past years generate black-box models. Although the prediction accuracy of these models could be very well, they provide little insight into the biological facts. This paper holds the recogni...

A novel formalizable speciication paradigm is proposed which makes it possible to solve a lot of speciication problems in software. The roots of the idea are in mathematical category theory; following its terminology we call our speciications sketches. Among the principal advantages of sketches are the following. Nice amalgamation of logical rigor and graphical evidence. Sketches are graph-base...

A range of varistors, in terms of break down voltage, is required to protect integrated circuits, automotive systems and other modern electronics against transient over-voltages. There is a progressing need for the development and advancement of rugged and reliable varistor capable and proficient of working in harsh and callous environment like automotive industry where greater than before use ...

Designing notations that business stakeholders can understand is one of the most difficult practical problems and greatest research challenges in the IS field. The success of IS development depends critically on effective communication between developers and end users, yet empirical studies show that business stakeholders understand IS models very poorly. This paper proposes a radical new appro...