Non-redundant rare itemset generation

Rare itemsets are likely to be of great interest because they often relate to high-impact transactions which may give rise to rules of great practical signi cance. Research into the rare association rule mining problem has gained momentum in the recent past. In this paper, we propose a novel approach that captures such rare rules while ensuring that redundant rules are eliminated. Extensive testing on real-world datasets from the UCI repository con rm that our approach outperforms both the Apriori-Inverse(Koh et al. 2006) and Relative Support (Yun et al. 2003) algorithms

Mining Fuzzy Coherent Rules from Quantitative Transactions Without Minimum Support Threshold

[[abstract]]Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from the give quantitative transactions. However, some comment problems of those approaches are that (1) a minimum support should be predefined, and it is hard to set the appropriate one, and (2) the derived rules usually expose common-sense knowledge which may not be interested in business point of view. In this paper, we thus proposed an algorithm for mining fuzzy coherent rules to overcome those problems with the properties of propositional logic. It first transforms quantitative transactions into fuzzy sets. Then, those generated fuzzy sets are collected to generate candidate fuzzy coherent rules. Finally, contingency tables are calculated and used for checking those candidate fuzzy coherent rules satisfy four criteria or not. Experiments on the foodmart dataset are also made to show the effectiveness of the proposed algorithm.[[incitationindex]]EI[[conferencetype]]國際[[conferencedate]]20120610~20120615[[iscallforpapers]]Y[[conferencelocation]]Brisbane, Australi

Comparison of deposition methods of ZnO thin film on flexible substrate

This paper reports the effect of the different deposition methods towards the ZnO nanostructure crystal quality and film thickness on the polyimide substrate. The ZnO film has been deposited by using the spray pyrolysis technique, sol-gel and RF Sputtering. Different methods give a different nanostructure of the ZnO thin film. Sol gel methods, results of nanoflowers ZnO thin film with the thickness of thin film is 600nm. It also produces the best of the piezoelectric effect in term of electrical performance, which is 5.0 V and 12 MHz of frequency which is higher than other frequency obtained by spray pyrolysis and RF sputtering

Big Data and Climate Change

open access articleClimate science as a data-intensive subject has overwhelmingly affected by the era of big data and relevant technological revolutions. The big successes of big data analytics in diverse areas over the past decade have also prompted the expectation of big data and its efficacy on the big problem—climate change. As an emerging topic, climate change has been at the forefront of the big climate data analytics implementations and exhaustive research have been carried out covering a variety of topics. This paper aims to present an outlook of big data in climate change studies over the recent years by investigating and summarising the current status of big data applications in climate change related studies. It is also expected to serve as a one-stop reference directory for researchers and stakeholders with an overview of this trending subject at a glance, which can be useful in guiding future research and improvements in the exploitation of big climate data

Universal Design Rules from Product Pairs and Association Rule Based Learning

A product pair is two products with similar functionality that satisfy the same high level need but are different by design. The goal of this research is to apply association rule-based learning to product pairs and develop universal design rules to be used during the conceptual design phase. The Apriori algorithm produced 1,023 association rules with input parameters of 70% minimum confidence and 0.5% minimum support levels. These rules were down-selected based on the prescribed rule format of: (Function, Typical User Activity) ? (Change, Universal User Activity). In other words, for a given product function and user activity, the rules suggest a design change and new user activity for a more universal product. This research presents 29 universal design rules to be used during the conceptual design stage. These universal design rules suggest a parametric, morphological, functional, or no design change is needed for a given user activity and product function. No design change rules confirm our intuition and also prevent inefficient design efforts. A parametric design change is suggested for actionfunction elements involving find hand use to manipulate a product. Morphological design changes are proposed to solve actionfunction elements in a slightly more complex manner without adding or subtracting overall functionality. For example, converting human energy to mechanical energy with the upper body opposed to the lower body or actuating fluid flow with motion sensors instead of manual knobs. The majority of the recommended functional changes involve automating a product to make it more universal which might not be apparently obvious to designers during conceptual design

Adapting ADA Architectural Design Knowledge to Product Design: Groundwork for a Function Based Approach

Disability is seen as a result of an interaction between a person and that person's contextual factors. Viewing disability in the context of the built environment, a better design of this environment helps to reduce the disability faced by an individual. In spite of significant research in Universal Design (UD), the existing methods provide insufficient guidance for designers: designers demand more specific examples of, and methods for, good universal design. Within the overarching goal of improving universal product design, the specific goal of this research is to determine if the ADA guidelines for architectural design can be adapted to product design. A methodology that foresees the accessibility issues while designing a product would be constructive. The new technique should be built on the pre-existing principles and guidelines. A user activity and product function framework is proposed for this translation using actionfunction diagrams. Specific goals include determining if the function-based approach is able to anticipate a functional change that improves product accessibility. Further, generate user activity and product function association rules that can be applied to the universal design of products. Proposed research activities are to identify thirty existing universal products and compare with its typical version to identify the function that introduces an accessibility feature. Next, categorize the observed changes in a product function systematically and extract trends from accessible architectural systems to generate rules for universal design of consumer products. For validation, the task is to select around fifteen consumer product pairs for validation of the generated rules to determine if the ADA guidelines can be adapted for universal product design using the proposed framework. The results of this research show promise in using the International Classification of Functioning, Disability and Health (ICF) lexicon to model user limitation. The actionfunction diagram provides a structured way to approach a problem in the early stage of design. The rules generated in this research translate to products having similar user-product interface