427 research outputs found

    A survey of the application of soft computing to investment and financial trading

    Get PDF

    KEER2022

    Get PDF
    AvanttĂ­tol: KEER2022. DiversitiesDescripciĂł del recurs: 25 juliol 202

    Automatically assessing and improving code readability and understandability

    Get PDF

    Communication Management

    Get PDF
    Communication Management is an edited volume of chapters written by scholars researching various areas of marketing and management sciences. It presents several issues of marketing management within the limits of marketing communication. Starting from the issue of communication channels and basic sensory apparatus for processing information and stimuli, the book continues with a description of the issue of social media in the time of accelerated digitization. The last chapter introduces the reader to the issue of marketing communication in a sharply non-standard environment. The topic itself creates the opportunity to seek qualitative knowledge for future in-depth research into the impact of the COVID-19 pandemic on both national and transnational economies

    Understanding consumers’ emotions and sensory experience for beauty care products

    Get PDF
    Doctor of PhilosophyDepartment of Food, Nutrition, Dietetics and HealthMartin TalaveraUnderstanding consumer experience related to hedonic, sensory, and emotional aspects of products is the key to driving consumer-centric product design for the beauty care category. This dissertation conducted three independent studies aiming to explore consumer experience of beauty care products from two perspectives: liking and beyond liking (emotions), based on conventional sensory and consumer data and online product reviews. The objective of Chapter 2 was to develop an emotion lexicon that could be used to profile consumers’ emotional responses to beauty care products in sensory and consumer tests. The lexicon was developed in four main steps: sourcing terms from online product reviews, term identification and categorization, term refinement, and term validation. The final emotion lexicon consists of 37 positive emotions and 2 negative emotions. Recommendations on the application of this lexicon to each of the three categories of beauty care (skincare, hair care and makeup) were provided. The validated emotion lexicon from this study is readily applicable to other emotion research for skincare, hair care and makeup. Chapter 3 explored sensory drivers of liking and emotional associations for beauty care products. Hand creams were used as testing samples to be evaluated for sensory characteristics and consumer perception. First, the sensory space (aroma, appearance, texture & skinfeel) of twelve hand creams was profiled by a highly trained descriptive panel using a modified flavor/texture profile approach. Then, seven hand creams selected from the descriptive sensory space were rated for overall liking, emotions using the lexicon developed from Chapter 2, and consumer characterization using check-all-that-apply (CATA) in a home use test (HUT) with a hundred female consumers from the Kansas City area. Cluster analysis and external preference mapping identified three consumer clusters with different liking patterns: the thick & waxy-texture likers, mild scent & low-medium-thickness likers, and strong-scent likers. Consumers with different liking patterns differed in their emotional associations with sensory characteristics of hand creams. However, high intensities of certain aroma attributes seemed to elicit high-arousal emotions for all groups. The findings of this study could guide the development of new hand cream products targeting different consumer segments. Chapter 4 explored consumer experience for hand cream products from the “voice of consumers”-online product reviews. A total of 17, 581 reviews representing 46 hand creams of different brands, price points, and sensory attributes were collected from Amazon and Ulta Beauty using a scraping software. Topic modeling using Latent Dirichlet allocation (LDA) identified five major topics consumers mentioned in these online reviews: greasiness & residue of the product, scent/fragrances of the product, skin feel & efficacy of the product, consumers’ skin issues, and occasions when to apply the product. Term frequency–inverse document frequency (tf-idf) calculated for each rating group suggested that unpleasant scent and overall dissatisfied quality were the main reasons why consumers gave a rating lower than 4 stars. High efficacy and desirable skinfeel were the drivers for 5 stars. These findings highlighted the importance of sensory experience and perception of efficacy in consumers’ whole product experience

    Semantic discovery and reuse of business process patterns

    Get PDF
    Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

    Front Matter - Soft Computing for Data Mining Applications

    Get PDF
    Efficient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the capability of computers to search huge amounts of data in a fast and effective manner. However, the data to be analyzed is imprecise and afflicted with uncertainty. In the case of heterogeneous data sources such as text, audio and video, the data might moreover be ambiguous and partly conflicting. Besides, patterns and relationships of interest are usually vague and approximate. Thus, in order to make the information mining process more robust or say, human-like methods for searching and learning it requires tolerance towards imprecision, uncertainty and exceptions. Thus, they have approximate reasoning capabilities and are capable of handling partial truth. Properties of the aforementioned kind are typical soft computing. Soft computing techniques like Genetic

    Combining SOA and BPM Technologies for Cross-System Process Automation

    Get PDF
    This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation
    • …
    corecore