Mining class association rules is an important task for associative classification and plays a key role in rule-based decision support systems. Most of the existing methods try the best to mine rules with high reliability but ignore their capability for classifying potential objects. This paper defines a concept of -stronger relationship, and proposes a new method that integrates classification...

Simple patterns consisting of three spots (V and Gamma) have been recognized by dividing, shifting, and recombining beams onto bistable ZnS interference filters. This experiment demonstrates AND-gate operation, cascading, and a moderate amount of parallelism, but a laser power of several watts was required and the response times were several milliseconds. An associative memory for fingerprint i...

An experiment with the nonassociative algebra program Albert led to the discovery of the following surprising theorem. Let G be a groupoid satisfying the identity (xy)z = y(zx). Then for products in G involving at least ve elements, all factors commute and associate. A corollary is that any semiprime ring satisfying this identity must be commutative and associative, generalizing a known result ...

This paper describes information sharing in a community using associative representation. The associative representation links heterogeneous information without de ning the semantics strictly. We leave the interpretation of the semantics to human tacit knowledge. We have developed a system called CoMeMoCommunity which gathers community members' information automatically and helps the members wi...

When a data mining model is to be developed, one of the most important issues is preserving the privacy of the input data. In this paper, we address the problem of data transformation to preserve the privacy with regard to a data mining technique, associative classification, in an incremental-data scenario. We propose an incremental polynomialtime algorithm to transform the data to meet a priva...

Two studies of human contingency learning investigated the influence of stimulus salience on the cue competition effect of blocking. These studies demonstrated that blocking (defined as a difference in responding to blocked and control cues) was greater for target cues that had high "semantic salience" than those of lower salience. Moreover participants showed weaker responding to high salience...

Conflicting theories argue that recognition is achieved either by familiarity exclusively, or by a mixture of familiarity and recollection. We explore in three experiments the goodness of fit of both positions to experimental data in which context information is manipulated. In Experiments 1 and 2, we explore the availability of context information in recognition, testing the focus stimulus, it...

We report three masked associative priming experiments with the lexical decision task that explore whether the initial activation flow of a visually presented word activates the semantic representations of that word’s orthographic/phonological neighbors. The predictions of cascades and serial/modular models of lexical processing differ widely in this respect. Using a masked priming paradigm (SO...

Logical consistency and objectivity are cornerstones of science that distinguish it from cult and dogma. Scientists’ concern with objectivity has led to the dominance of associative statistics, which define the basic concept of independence on observations. The same concern with avoiding subjective beliefs has led many scientific journals to favor frequentist over Bayesian statistics. Our analy...

A reinforcement learning based associative memory structure (RLAM) is proposed. In this structure, a one-layer feed forward Palm [1] model is applied to the networks. Instead of batch training, an on-line learning method is used to construct the memory. The networks are trained interactively according to reinforcement learning, which is biologically plausible. The experiment results show that t...