scholarly journals SURVEY SURFER: A WEB BASED DATA GATHERING AND ANALYSIS APPLICATION

Author(s):  
Dhanamma Jagli ◽  
Krutika Tawde ◽  
Pratima Musale ◽  
Swathi Muthukumar
1999 ◽  
Vol 6 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Arja Häggman-Laitila

This article is based on the assumption that the researcher cannot detach from his or her own view in phenomenological research. The researcher is assumed to be able to understand the experiences of an individual only through the points of departure created by the researcher's own view. The goal of this article is to describe practical aspects and their theoretical grounds that are of crucial importance in overcoming a researcher's views in data gathering and analysis. Its purpose is to clarify the authenticity and ethical standards concerning the views of the researcher in phenomenological research.


1993 ◽  
Vol 27 (1) ◽  
pp. 35-50
Author(s):  
Luce Des Aulniers

This article is based on data from a doctoral thesis about the “anthropology of life-threatening, death and time.” [1] The interpretation is made from twelve life reviews set at homes of people who suffered a serious, but not necessarily fatal illness. Two-cultural configurations are chosen along the axis of rural-urban polarity. It focuses on three types of solidarity, facing the awareness of death: 1) the ethnographic position, in data gathering and analysis. Specific propositions are given concerning the subject and intersubjectivity, cultural generalization of personal experiences, and scientific criteria; 2) what helps cope with illness. Pre-death practices are structured on the basic concept of resistance to illness and preparation for death practices rely on a coherence “test.” The genealogy of practices emerge in six situational and seven historical factors; 3) the conditions of a new type of rite before death and its functions, beside the institutionalization of illness and death.


2019 ◽  
Vol 26 (5) ◽  
pp. 507-513
Author(s):  
Kristidel McGregor

Can phenomenological approaches to experience allow me to attend to not just the human experience but also the material discursive forces that are a part of the shifting, moving network of agents at work in a phenomenon? Focusing on the material structures of experience means not asking what materiality is, but rather asking what it is doing in the context of an intra-active phenomena. In this article, I consider what possibilities for data gathering and analysis are opened if I think the Husserlian concept of encounters with the world within a feminist new materialist framework, and find the tensions provocative.


2010 ◽  
Vol 49 (8) ◽  
pp. 27-34 ◽  
Author(s):  
Christin Lundberg ◽  
Jennifer L. Elderman ◽  
Patricia Ferrell ◽  
Leslie Harper

Author(s):  
Indriyani Indriyani ◽  
M. Ihsan Alfani Putera

A database can consist of numerical and non-numerical attributes. However, several data processing algorithms, such as K-means clustering, can be used only in a dataset with numerical attributes. Data generalization by using Naïve Bayes and K-means clustering methods is usually employed WEKA (Waikato environment for knowledge analysis) application. Although the strength of WEKA lies in increasingly complete and sophisticated algorithms, the success of data mining still lies in the knowledge factor of the human implementer. The task of collecting high-quality data and knowledge of modeling and the use of appropriate algorithms is needed to guarantee the accuracy of the expected formulations. In this paper, we propose a simple web-based application that can be used like WEKA. The methodology used in this study includes several stages. The first stage is the preparation of data, which is the tic-tac-toe game dataset that is converted to CSV (comma-separated values) format. The next stage is the process of modifying data from non-numeric to numeric, specifically for clustering with the K-means algorithm. Afterward, the calculation of the distance between data is conducted and followed by data clustering. The final stage is the summary of these processes and results. From the experimental results, it was found that clustering can be done on categorical attributes that are transformed first into the numerical form using web-based applications.


Eos ◽  
2016 ◽  
Vol 97 ◽  
Author(s):  
Puneet Kollipara

The recently unveiled planned shift from basic climate research toward responses to a transformed climate could cost research jobs, hamper climate studies, and limit data gathering and analysis.


Author(s):  
Peter O’Donoghue ◽  
Lucy Holmes ◽  
Gemma Robinson

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