Depth first rule heneration for text categorization

Classification methods are usually used to categorize text documents, such as, Rocchio method, Naïve bayes based method, and SVM based text classification method. These methods learn labeled text documents and then construct classifiers. The generated classifiers can predict which category is located for a new coming text document. The keywords in the document are often used to form rules to categorize text documents, for example “kw = computer” can be a rule for the IT documents category. However, the number of keywords is very large. To select keywords from the large number of keywords is a challenging work. Recently, a rule generation method based on enumeration of all possible keywords combinations has been proposed [2]. In this method, there remains a crucial problem: how to prune irrelevant combinations at the early stages of the rule generation procedure. In this paper, we propose a method than can effectively prune irrelative keywords at an early stage.

Keyword extraction for text categorization

Text categorization (TC) is one of the main applications of machine learning. Many methods have been proposed, such as Rocchio method, Naive bayes based method, and SVM based text classification method. These methods learn labeled text documents and then construct a classifier. A new coming text document's category can be predicted. However, these methods do not give the description of each category. In the machine learning field, there are many concept learning algorithms, such as, ID3 and CN2. This paper proposes a more robust algorithm to induce concepts from training examples, which is based on enumeration of all possible keywords combinations. Experimental results show that the rules produced by our approach have more precision and simplicity than that of other methods.

Who is responsible for the protection of children? Implicit and explicit interpretations of marketing messages

In this paper, we examine ethical issues related to advertising to children in light of evidence that people can hold ‘implicit’ as well as ‘explicit’ consumer attitudes. From a review of the important features of implicit versus explicit attitudes, we hypothesise three important features of implicit consumer attitudes in children. First, we suggest they are likely to be acquired automatically from, in part, exposure to marketing messages. Second, we predict that these attitudes will be resistant to change through reflection or reason by the child or other person. Third, we hypothesise that children’s implicit consumer attitudes will be powerful predictors of their consumer choices in many situations. We discuss the implications for the ethics of marketing to children, and propose a research framework to begin investigating this important issue.

Email categorization using multi-stage classification technique

This paper presents an innovative email categorization using a serialized multi-stage classification ensembles technique. Many approaches are used in practice for email categorization to control the menace of spam emails in different ways. Content-based email categorization employs filtering techniques using classification algorithms to learn to predict spam e-mails given a corpus of training e-mails. This process achieves a substantial performance with some amount of FP tradeoffs. It has been studied and investigated with different classification algorithms and found that the outputs of the classifiers vary from one classifier to another with same email corpora. In this paper we have proposed a multi-stage classification technique using different popular learning algorithms with an analyser which reduces the FP (false positive) problems substantially and increases classification accuracy compared to similar existing techniques.

Dissociations between implicit and explicit memory in children : the role of strategic processing and the knowledge base

A review of the literature shows that explicit memory develops substantially from three years of age to adulthood, while implicit memory remains stable across this age range. Previously, this developmental dissociation has been attributed to different memory systems, or to confounds with perceptual vs. conceptual processing. Prompted by an alternative developmental framework, the experiments reported here provide evidence against both interpretations. Instead, it will be argued that (a) the implicit - explicit developmental dissociation reflects differences in strategic processing (strategy use and metamemory) across childhood and (b) that implicit memory can show development if a child's knowledge base in the tested domain is developing with age.

Do young children get the message? The effects of repeated video viewing on explicit and implicit information

The aim of this study was to explore the effects of repeat viewing on comprehension of explicitly and implicitly presented information in an animated movie. Seventy-three pre-school children watched an animated film and were tested for comprehension after either their single or fifth viewing. Only children’s comprehension of explicitly presented information was facilitated by repeat viewing. However, post hoc analyses revealed that children’s explicit and implicit comprehension of a central character Thunderbolt significantly increased across viewing conditions, whereas, repeat viewing only facilitated children’s explicit comprehension of the central character Patch. The theoretical and practical implications of these findings are discussed.

Email categorization using (2+1)-tier classification algorithms

In this paper we have proposed a spam filtering technique using (2+1)-tier classification approach. The main focus of this paper is to reduce the false positive (FP) rate which is considered as an important research issue in spam filtering. In our approach, firstly the email message will classify using first two tier classifiers and the outputs will appear to the analyzer. The analyzer will check the labeling of the output emails and send to the corresponding mailboxes based on labeling, for the case of identical prediction. If there are any misclassifications occurred by first two tier classifiers then tier-3 classifier will invoked by the analyzer and the tier-3 will take final decision. This technique reduced the analyzing complexity of our previous work. It has also been shown that the proposed technique gives better performance in terms of reducing false positive as well as better accuracy.

Familiarity-based word-frequency effects in recognition memory and implicit priming

Provides evidence that familiarity as well as recollection contributes to the recognition advantage for low-frequency words. The importance for explanations of the low-frequency word advantage to account for the influence of both explicit and implicit memory processes is discussed with emphasis given to developing the dual-process model.

Identification of implicit technical relationships in overlapping networks

Overlapping network techniques to expand the single sequential finish-to-start relationship between preceding and succeeding activities in scheduling construction projects have been developed for decades. The hidden logic relationships between activities and two virtual activities, Start and Finish, however limit the applications of these techniques in practice as they may lead to incorrect time parameters of some activities. In this research, a novel approach has been developed to identify those concealed relationships in a structured procedure by a two-dimensional nested diagram. An empirical study was carried out to demonstrate the network modification approach.

Trade-offs and implicit preferences in human mate selection

Two novel to domain research methods - choice modelling and the implicit Association Test (IAT) - were applied to measure trade-offs and implicit preferences in human mate preferences. Collectively, findings from four experiments supported the explanatory superiority of Sexual Strategies Theory as a model of between sex and within sex variability in mate preferences.

Implicit theories and personality patterns in child-victim sex offenders

Research has suggested that child sex offenders hold thematically distinct cognitive distortions, which Ward and Keenan (1999) call Implicit Theories. The aim of this preliminary study was to investigate the relationship between offenders’ Implicit Theories and their personality related cognitions. The variables were measured using the Implicit Theory Questionnaire and Millon’s (1990) MCMI-III personality scales. Subjects were 28 male sex offenders against children serving a custodial sentence in New Zealand, who elected to participate in a treatment program. A majority of participants had personality scale scores that reached the clinical threshold. Results found that dependant, depressive and schizoidal personality patterns significantly correlated with Implicit Theories. Clinical and theoretical implications are discussed.