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  1. No Access

    Living Reference Work Entry In depth

    Klassisches maschinelles Lernen

    Maschinelles Lernen ist ein aus der Informatik stammender Zweig der Datenanalyse, in dem es primär um die Konstruktion möglichst guter Prognosemaschinen geht, d. h. Modelle, die für neue Daten die Zielvariable...

    Ursula Laa, Friedrich Leisch in Moderne Verfahren der Angewandten Statistik

  2. Article

    Open Access

    The role of unpaid domestic work in explaining the gender gap in the (monetary) value of leisure

    The value of travel time savings (VTTS) representing the willingness to pay to reduce travel time, consists of two components: the value of liberating time [equal to the value of leisure (VoL)] and the value o...

    Simona Jokubauskaitė, Reinhard Hössinger, Sergio Jara-Díaz, Stefanie Peer in Transportation (2022)

  3. Article

    Open Access

    Reducing overall herbicide use may reduce risks to humans but increase toxic loads to honeybees, earthworms and birds

    Pesticide use has been associated with risks for human health and an overall decline in biodiversity. Although herbicides are the most commonly used pesticides worldwide, they have received less attention in t...

    Ramona M. Cech, Suzanne Jovanovic, Susan Kegley in Environmental Sciences Europe (2022)

  4. Article

    Open Access

    Effects of glyphosate-based herbicides and their active ingredients on earthworms, water infiltration and glyphosate leaching are influenced by soil properties

    Glyphosate-based herbicides (GBHs) are among the most often used pesticides. The hundreds of GBHs used worldwide consist of the active ingredient (AI) glyphosate in form of different salts, possibly other AIs,...

    Johann G. Zaller, Maureen Weber, Michael Maderthaner in Environmental Sciences Europe (2021)

  5. No Access

    Article

    Effects of Resampling in Determining the Number of Clusters in a Data Set

    Using cluster validation indices is a widely applied method in order to detect the number of groups in a data set and as such a crucial step in the model validation process in clustering. The study presented i...

    Rainer Dangl, Friedrich Leisch in Journal of Classification (2020)

  6. Article

    Open Access

    Contamination of wounds with fecal bacteria in immuno-suppressed mice

    Immunocompromised patients are predisposed to chronically infected wounds. Especially ulcers in the dorsal region often experience secondary polymicrobial infections. However, current wound infection models mo...

    Lisa Karner, Susanne Drechsler, Magdalena Metzger, Paul Slezak in Scientific Reports (2020)

  7. Article

    Open Access

    Commercial glyphosate-based herbicides effects on springtails (Collembola) differ from those of their respective active ingredients and vary with soil organic matter content

    Glyphosate-based herbicides (GBH) are currently the most widely used agrochemicals for weed control. Environmental risk assessments (ERA) on nontarget organisms mostly consider the active ingredients (AIs) of ...

    Michael Maderthaner, Maureen Weber in Environmental Science and Pollution Resear… (2020)

  8. Book

    Market Segmentation Analysis

    Understanding It, Doing It, and Making It Useful

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Management for Professionals (2018)

  9. Chapter

    Step 8: Selecting the Target Segment(s)

    In Step the big decisions are made. Informed by all the insights gained during the entire market segmentation analysis, the time has come to commit. Of the many available market segments, one or a small number...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  10. Chapter

    Step 10: Evaluation and Monitoring

    Market segmentation is a strategic process and implies a long-term commitment to catering best possibly to the needs of a subset of the market. Because of its long-term nature, it is critical to evaluate the e...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  11. Chapter

    Market Segmentation Analysis

    This chapter defines market segmentation analysis, offers a few alternative segmentation approaches, and introduces the ten step process of market segmentation analysis. This chapter also introduces natural, r...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  12. Chapter

    Step 2: Specifying the Ideal Target Segment

    Market segmentation analysis is driven primarily by the desire of an organisation to better cater to a part of the market and, in so doing, secure a competitive advantage. At the end of the segmentation analys...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  13. Chapter

    Step 6: Profiling Segments

    Segment extraction leads to one or more segmentation solutions. They may have been pre-selected on the basis of statistical criteria. But statistical criteria are no substitute for user assessment. The profili...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  14. Chapter

    Step 9: Customising the Marketing Mix

    This chapter discusses strategic marketing areas that need to be integrated with the target segment decision (positioning and competition), and the tactical marketing decisions that follow from all of those st...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  15. Chapter

    Market Segmentation

    This chapter explains the purpose of marketing and marketing planning, clarifies the difference between strategic marketing and tactical marketing, highlights the asymmetry between the two areas, and outlines ...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  16. Chapter

    Step 1: Deciding (not) to Segment

    Market segmentation is a long-term strategic commitment. It is critical, therefore, for any organisation that intends to adopt a segmentation strategy, to be aware of the consequences, and to make an informed ...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  17. Chapter

    Step 4: Exploring Data

    Market segmentation analysis, irrespective of the algorithm used to extract segment, is exploratory in nature. Before performing the actual extraction, it is useful to gain preliminary insight into the data. T...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  18. Chapter

    Step 3: Collecting Data

    The outcome of a market segmentation analysis is only as good as the data upon which it is based. This chapter discusses a range of alternative sources of data that can serve as input for extracting market seg...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  19. Chapter

    Step 5: Extracting Segments

    This chapter focuses on the task of grou** consumers and, in so doing, revealing naturally existing or creating artificial market segments. The chapter covers algorithms falling into three categories: distan...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

  20. Chapter

    Step 7: Describing Segments

    Once a small number of market segments has been selected on the basis of their segment profiles, these segments need to be described in detail using additional information. The detailed description of market s...

    Sara Dolnicar, Bettina Grün, Friedrich Leisch in Market Segmentation Analysis (2018)

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