Efficient Analysis of Pattern and Association Rule Mining Approaches

The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules. Numerous efficient algorithms have been proposed to do the above processes. Frequent pattern mining has been a focused topic in data mining research with a good number of references in literature and for that reason an important progress has been made, varying from performant algorithms for frequent itemset mining in transaction databases to complex algorithms, such as sequential pattern mining, structured pattern mining, correlation mining. Association Rule mining (ARM) is one of the utmost current data mining techniques designed to group objects together from large databases aiming to extract the interesting correlation and relation among huge amount of data. In this article, we provide a brief review and analysis of the current status of frequent pattern mining and discuss some promising research directions. Additionally, this paper includes a comparative study between the performance of the described approaches.Comment: 14 pages, 3 figures. arXiv admin note: text overlap with arXiv:1312.4800; and with arXiv:1109.2427 by other author

The effects of positive affective priming on Māori mothers' attributions for children's misbehaviours and appropriate methods of discipline : a thesis submitted in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University, Wellington, New Zealand

This study is a test-retest experimental design which sets out to determine if Māori mothers, exposure to emotive (positive) photographs of Māori people (children interacting with adults) would influence their attributions and disciplinary responses for child misbehaviour in a positive direction. I also hypothesised that the exposure to Māori visual icons or objects might have a similar but lesser affect. The participants were a group of 48 mothers of Māori descent living in the Porirua and Wellington areas. I recruited by approaching the principal from a local primary school and my previous employer, by attending a parent group, and by using a snowballing strategy. Cultural identity was assessed using a "Lifestyle Questionnaire" and results showed that the majority of participants were well integrated into both Māori and mainstream New Zealand culture. Participants were randomly divided into four equal groups of 12 participants. Each group was shown different sets of photographs that served as the emotional primes (i.e., Māori people. non-Māori people, Māori objects and non-Māori objects). The two experiment groups viewed the Māori people or Māori objects photographs. Conversely, the two control groups viewed the non-Māori people or non-Māori objects photographs. The participants undertook a pre-testing exercise prior to viewing the photographs, followed by a post-testing exercise. The pre-testing and post-testing exercises consisted of parent-child scenarios based on child misbehaviours where the child could be blamed for the misbehaviour, and ambiguous behaviours where the child could not be clearly blamed for the misbehaviour. Participants used 4-point Likert scales to rate their causal attributions for the parent-child scenarios and their likely disciplinary responses. The data were statistically analysed using a mixed between-within subjects analysis of variance (ANOVA). Most of the results were not statistically significant, apart from two of the positive causal attributions. Child misbehaviour scenarios showed a significant main effect for pre-test and post-test scores, with all groups being more forgiving or excusing the child when clearly the child was to blame. Ambiguous behaviour scenarios showed a significant interaction between Māori and non-Māori groups' pre-test and post-test scores (i.e., Māori groups were more forgiving or excusing the child and non-Māori groups were less forgiving or excusing the child). The majority of participants' scores showed their disciplinary responses were less harsh at pre-test and post-test. The most likely responses were talking to their child, followed by child apologises and then telling off. The least likely responses were smacking; next in order were doing nothing and ignoring. This study provided some insight into Māori mothers' causal attributions and disciplinary responses. Recommendations for future research, limitations and positive features are presented

Sources of real exchange rate volatility and international financial integration: A dynamic GMM panel data approach

The aim of this paper is to provide some new empirical evidence on the determinants of volatility of real exchange rates in emerging countries, focusing on the role of international financial integration in particular. A reduced-form model is estimated using the GMM method for dynamic panels over the period 1979-2004 for a sample of 39 developing countries grouped into three regions (Latin America, Asia and MENA). Our findings suggest that different types of shocks (external, real and monetary) can account for volatility of real exchange rates in emerging economies, with international financial integration being a major driving force. Therefore, financial liberalisation and integration should be pursued only gradually in emerging countries

International financial integration and real exchange rate long-run dynamics in emerging countries: Some panel evidence

The aim of this paper is to provide new empirical evidence on the impact of international financial integration on the long-run Real Exchange Rate (RER) in 39 developing countries belonging to three different geographical regions (Latin America, Asia and MENA). It covers the period 1979-2004, and carries out “second-generation” tests for non-stationary panels. Several factors, including international financial integration, are shown to drive the long-run RER in emerging countries. It is found that the new financial environment characterised by international financial integration leads to a depreciation of the RER in the long run. Further, RER misalignments take the form of an under-valuation in most MENA countries and an over-valuation in most Latin American and Asian countries

Deep Predictive Models for Collision Risk Assessment in Autonomous Driving

In this paper, we investigate a predictive approach for collision risk assessment in autonomous and assisted driving. A deep predictive model is trained to anticipate imminent accidents from traditional video streams. In particular, the model learns to identify cues in RGB images that are predictive of hazardous upcoming situations. In contrast to previous work, our approach incorporates (a) temporal information during decision making, (b) multi-modal information about the environment, as well as the proprioceptive state and steering actions of the controlled vehicle, and (c) information about the uncertainty inherent to the task. To this end, we discuss Deep Predictive Models and present an implementation using a Bayesian Convolutional LSTM. Experiments in a simple simulation environment show that the approach can learn to predict impending accidents with reasonable accuracy, especially when multiple cameras are used as input sources.Comment: 8 pages, 4 figure

International Financial Integration and Real Exchange Rate Long-Run Dynamics in Emerging Countries

The aim of this paper is to provide new empirical evidence on the impact of international financial integration on the long-run Real Exchange Rate (RER) in 39 developing countries belonging to three different geographical regions (Latin America, Asia and MENA). It covers the period 1979-2004, and carries out "second-generation" tests for non-stationary panels. Several factors, including international financial integration, are shown to drive the long-run RER in emerging countries. It is found that the new financial environment characterised by international financial integration leads to a depreciation of the RER in the long run. Further, RER misalignments take the form of an under-valuation in most MENA countries and an over-valuation in most Latin American and Asian countrieshttp://deepblue.lib.umich.edu/bitstream/2027.42/64383/1/wp970.pd