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A Comparative Analysis and Discussion of Email Spam Classification Methods Using Machine Learning Techniques
Published in Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan, Applied Machine Learning for Smart Data Analysis, 2019
Aakash Atul Alurkar, Sourabh Bharat Ranade, Shreeya Vijay Joshi, Siddhesh Sanjay Ranade, Gitanjali R. Shinde, Piyush A. Sonewar, Parikshit N. Mahalle
Email spam classification is the most researched issue among all the problems regarding emails. In a survey by Awed and ELseoufi, most studies on email classification are conducted to classify emails into either spam or ham. Among the 98 articles, 49 are related to “spam email classification.” Binary classifiers that classify emails into spam or ham were developed in the studies. The second highest number of articles is on the “multi-folder categorization of emails” (20 published articles), in which researchers developed a multiclass classifier that categorizes emails into various user-defined email directories. The third highest number of articles is related to “phishing email classification” (nine published articles), in which researchers developed binary classifiers that categorize emails into phishing or ham [15]. Spam filtering, however, does make things easier for the users. Thus, an email system that gives better outcomes consistently needs to be developed. This study develops a system that can be customized and tweaked for each user based on their individual preferences.
Progress in Using the Universal Remote Console Standard to Create User-Customized Interfaces for Future Medical Devices
Published in Jack M. Winters, Molly Follette Story, Medical Instrumentation, 2006
R. Sarma Danturthi, Pawan Shroff, Jack M. Winters
There is a need for interfaces, including those to be used within a home environment, that make medical instrumentation more usable and accessible [1]. One approach for addressing this need is to strive to design interfaces that are based more on the principles of universal design, as discussed in many other chapters in this book (Chapter 6, Chapter 8, and Chapter 18). An alternative is to create personalized interfaces, in which the form of the interface is based on the preferences and abilities of a specific user. With an appropriate infrastructure, a preferred interface that is small enough can then move with the person, functioning as a sort of assistive technology that interfaces with the target device or service to which the user desires access. This especially makes sense as a viable strategy for medical instrumentation with a clear display-control type of interface and not too many signals to display, such as home health care monitors or controls for exam chairs. However, for such a strategy to work, there must be agreed-to specifications — standards — to enable this mapping between a personalized console and the product to which access is desired. Imagine a world in which this personalized device could be used to wirelessly access a multitude of devices at home or work, including medical devices; an approach to meeting such a vision is the topic of this chapter.
Special Needs and Enabling Technologies
Published in Constantine Stephanidis, User Interfaces for All, 2000
Recently, the concept of user interfaces for all (Stephanidis, 1995) has been proposed, applying the concept of design for all in the domain of human–computer interaction (HCI), as the vehicle to efficiently and effectively address the numerous and diverse accessibility problems, adopting a proactive approach. The underlying principle of such approach is to ensure accessibility at design time and to meet the individual needs, abilities, and preferences of the user population at large, including disabled and elderly people.
A decision-making method for complex system design in a heterogeneous language information environment
Published in Journal of Engineering Design, 2021
Guan Wang, Lingjiu Wu, Yusheng Liu, Xiaoping Ye
In the process of marketisation, the concept of ‘user-centric design’ is becoming increasingly important. Especially for electromechanical products, subjective preferences such as engineering performance requirements and consumer requirements must be considered. However, existing system design methods that play important roles in electromechanical product design and redesign rarely consider these subjective preferences. Even the consideration of these preferences, they do not address the ambiguity and uncertainty of subjective preferences, which lead to design failures. For example, the ambiguous (uncertain) preferences of engineers may prevent the decision makers from understanding the true wishes of engineers, and this may in turn lead to conflicts between system design alternatives and the wishes of engineers. If the ambiguous preferences are not handled properly, the design results will not meet engineers’ quality demands. Therefore, dealing with the uncertainty of subjective preferences during the system design process is very important for the success of the designed product.
User preference enabled intelligent 3D product evolutionary design
Published in Journal of Industrial and Production Engineering, 2019
Cheng Yang, Yuliang Zhou, Shiqiang Yu, Chunyang Yu
User preferences reflect user expectations for product appearance and functionality, and play an important role in guiding product design. Various measures have been used to evaluate user preferences. Trappey et al. [5] used hierarchical clustering to group customers based on their menu selections, demographic attributes, and historical sales data. According to the results, the restaurant is able to develop more appropriate promotional strategies for each customer. Tseng et al. [6] applied conjoint analysis to capture user preferences for bicycle-related clothing design. Wang and Wu [7] also took use of conjoint analysis and combined it with Kano model to identify user preferences for smart phones, improving the decision-making process of product configuration. Furthermore, psychophysiological methods, such as heart rate, skin temperature, skin conductance, and eye gaze data, were used to capture the semi-elderly and elderly users’ preference for mental commitment robots [8].
Why did you pick that? A study on smartwatch design qualities and people’s preferences
Published in Behaviour & Information Technology, 2022
Dimitrios Raptis, Eleftherios Papachristos, Anders Bruun, Jesper Kjeldskov
In this paper, we make two contributions to the field of HCI. Firstly, we identified which smartwatch design qualities (perceived, descriptive and physical) are relevant in product choice situations. Secondly, we demonstrated how these design qualities shape people’s preferences by analysing the collected data using the statistical technique of Preference Mapping. Our findings showed that among young potential smartwatch users, there are four distinct groups in which different combinations of design qualities shape their preferences. Some of the participants are influenced by the idle screen of a smartwatch, most by how premium it is perceived, while many from its physical form (resemblance, or not to a typical round wristwatch).