analytic processing
Recently Published Documents


TOTAL DOCUMENTS

80
(FIVE YEARS 10)

H-INDEX

17
(FIVE YEARS 0)

Author(s):  
Nadjla Elong ◽  
Sidi Ahmed Rahal

For a deeper and richer analytic processing of medical datasets, feature selection aims to eliminate redundant and irrelevant features from the data. While filter has been touted as one of the simplest methods for feature selection, its applications have generally failed to identify and deal with embedded similarities among features. In this research, a hybrid approach for feature selection based on combining the filter method with the hierarchical agglomerative clustering method is proposed to eliminate irrelevant and redundant features in four medical datasets. A formal evaluation of the proposed approach unveils major improvements in the classification accuracy when results are compared to those obtained via only the applications of the filter methods and/or more classical-based feature selection approaches.


2021 ◽  
Vol 251 ◽  
pp. 02026
Author(s):  
Jingchun Feng ◽  
Daisong Hu ◽  
Yue Zhang ◽  
Lingli Dong

Through the sub-network construction and the application of critical path method, this paper analyzes the impact of work schedule delay on the schedule of contracted project itself, the success or contracted projects, other follow-up contracted projects, and the program on the basis of double-code network and related lemmas. Based on this, a penalty model of work schedule delay is constructed and a case study is carried out. The research results show that the penalty model of work schedule delay can effectively deal with the impact of work schedule delay on the whole program under the condition of multiple stakeholders. The research results of this paper are conducive to the real-time control of the schedule of various kinds of work, contracted projects, and the program, and lay a foundation for the improvement of FIDIC penalty conditions (8.7) of contract, the definition of responsibility division within and among contractors, and the analytic processing of claims for contracted projects.


Author(s):  
Michael Shreeves ◽  
Leo Gugerty ◽  
DeWayne Moore

Abstract Background Research on causal reasoning often uses group-level data analyses that downplay individual differences and simple reasoning problems that are unrepresentative of everyday reasoning. In three empirical studies, we used an individual differences approach to investigate the cognitive processes people used in fault diagnosis, which is a complex diagnostic reasoning task. After first showing how high-level fault diagnosis strategies can be composed of simpler causal inferences, we discussed how two of these strategies—elimination and inference to the best explanation (IBE)—allow normative performance, which minimizes the number of diagnostic tests, whereas backtracking strategies are less efficient. We then investigated whether the use of normative strategies was infrequent and associated with greater fluid intelligence and positive thinking dispositions and whether normative strategies used slow, analytic processing while non-normative strategies used fast, heuristic processing. Results Across three studies and 279 participants, uses of elimination and IBE were infrequent, and most participants used inefficient backtracking strategies. Fluid intelligence positively predicted elimination and IBE use but not backtracking use. Positive thinking dispositions predicted avoidance of backtracking. After classifying participants into groups that consistently used elimination, IBE, and backtracking, we found that participants who used elimination and IBE made fewer, but slower, diagnostic tests compared to backtracking users. Conclusions Participants’ fault diagnosis performance showed wide individual differences. Use of normative strategies was predicted by greater fluid intelligence and more open-minded and engaged thinking dispositions. Elimination and IBE users made the slow, efficient responses typical of analytic processing. Backtracking users made the fast, inefficient responses suggestive of heuristic processing.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Patrick Susini ◽  
Sarah Jibodh Jiaouan ◽  
Elena Brunet ◽  
Olivier Houix ◽  
Emmanuel Ponsot

Abstract The way the visual system processes different scales of spatial information has been widely studied, highlighting the dominant role of global over local processing. Recent studies addressing how the auditory system deals with local–global temporal information suggest a comparable processing scheme, but little is known about how this organization is modulated by long-term musical training, in particular regarding musical sequences. Here, we investigate how non-musicians and expert musicians detect local and global pitch changes in short hierarchical tone sequences structured across temporally-segregated triplets made of musical intervals (local scale) forming a melodic contour (global scale) varying either in one direction (monotonic) or both (non-monotonic). Our data reveal a clearly distinct organization between both groups. Non-musicians show global advantage (enhanced performance to detect global over local modifications) and global-to-local interference effects (interference of global over local processing) only for monotonic sequences, while musicians exhibit the reversed pattern for non-monotonic sequences. These results suggest that the local–global processing scheme depends on the complexity of the melodic contour, and that long-term musical training induces a prominent perceptual reorganization that reshapes its initial global dominance to favour local information processing. This latter result supports the theory of “analytic” processing acquisition in musicians.


2020 ◽  
Author(s):  
Tom Heyman ◽  
wolf vanpaemel

Most empirical papers in psychology involve statistical analyses performed on a new or existing dataset. Sometimes the robustness of a finding is demonstrated via data-analytical triangulation (e.g., obtaining comparable outcomes across different operationalizations of the dependent variable), but systematically considering the plethora of alternative analysis pathways is a rarity. In contrast, researchers conducting a multiverse analysis precisely aim to assess the robustness of a finding by methodically examining the seemingly-arbitrary choices pertaining to data processing and/or model building. In the present paper, we describe how the multiverse approach can be successfully implemented in student research projects within psychology programs, drawing on personal experience as instructors. Embedding a multiverse project in students’ curricula addresses an important scientific need, as studies examining the robustness or fragility of phenomena are largely lacking in psychology. More importantly, it offers students an ideal opportunity to put various statistical methods into practice, thereby also raising awareness about the abundance and consequences of arbitrary decisions in data-analytic processing. An attractive practical feature is that one can reuse existing datasets, which proves especially useful when resources are limited, or when circumstances such as the COVID-19 lockdown measures restrict data collection possibilities.


2020 ◽  
Author(s):  
Patrick Susini ◽  
Sarah Jibodh Jiaouan ◽  
Elena Brunet ◽  
Olivier Houix ◽  
Emmanuel Ponsot

The way the visual system processes different scales of spatial information has been widely studied, highlighting the dominant role of global over local processing. Recent studies addressing how the auditory system deals with local-global temporal information suggest a comparable processing scheme, but little is known about how this organization is modulated by long-term musical training, in particular regarding musical sequences. Here, we investigate how non-musicians and expert musicians detect local and global pitch changes in short hierarchical tone sequences structured across temporally-segregated triplets made of musical intervals (local scale) forming a melodic contour (global scale) varying either in one direction (monotonic) or both (non-monotonic). Our data reveal a clearly distinct organization between both groups. Non-musicians show global advantage (enhanced performance to detect global over local modifications) and global-to-local interference effects (interference of global over local processing) only for monotonic sequences, while musicians exhibit the reversed pattern for non-monotonic sequences. These results suggest that the local-global processing scheme depends on the complexity of the melodic contour, and that long-term musical training induces a prominent perceptual reorganization that reshapes its initial global dominance to favour local information processing. This latter result supports the theory of “analytic” processing acquisition in musicians.


2020 ◽  
Vol 13 (4) ◽  
pp. 72-87
Author(s):  
G.Ya. Menshikova ◽  
A.O. Pichugina

In modern literature, the question of holistic and analytic processing of facial perception and facial expressions is actively debated. Various experimental paradigms have been developed for their study, one of which was based on the face inversion effect. In a number of works to study the role of eye movements in holistic and analytic processing, the procedure of presenting upright and inverted faces was followed by recording eye movements. The results were contradictory: some works revealed significant changes in the characteristics of eye movements in the inversion effect, but the others have not found the changes. The aim of our work was to study individual eye movement strategies in the task of assessing the attractiveness of upright and inverted faces. The participants were 57 students. The results showed that a decrease in the role of holistic processing in the face inversion effect led to a significant change in fixation durations and saccade amplitudes, as well as to a change in the distribution of the dwell time on four areas of interest (eyes, nose, nose bridge and mouth). Two groups of participants with individual types of eye movement strategies (static and dynamic) were identified. Comparing eye movement strategies for upright and inverted faces showed that the dwell time distribution on areas of interest varied significantly depending on the group. These data showed the importance of incorporating the individual eye movement strategies when studying holistic and analytic face processing.


Sign in / Sign up

Export Citation Format

Share Document