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Mining qualitative data on human information behaviour from the Web

Huvila Isto
2020 Zenodo  
This paper discusses an approach of collecting qualitative data on human information behaviour that is based on mining web data using search engines.  ...  methods can be used to gather data for qualitative data analysis on human information behaviour.  ...  Conclusions Mining web data using search engines APIs provides a novel approach for collecting data for qualitative information behaviour research.  ... 
doi:10.5281/zenodo.4134612 fatcat:cpavk7ee3nd43fcsjdbvjrnvty

Spatially Integrated Social Sciences with Qualitative GIS to Support Impact Assessment in Mining Communities

Alex Lechner, John Owen, Michelle Ang, Deanna Kemp
2019 Resources  
It includes qualitative GIS approaches, such as geo-ethnology and geo-narratives, which combine qualitative social data with GIS and represent an emerging approach with significant potential for facilitating  ...  In this paper we describe the potential for spatially integrated social science using qualitative GIS to understand the social impacts of mining.  ...  For example, MacNell (2018) assesses shopping motivation and strategies by comparing respondents' qualitative assessments with spatial data describing the nearest and most frequented supermarket, where  ... 
doi:10.3390/resources8010047 fatcat:ag6qs6dnbvb3phzz2tu2hyqabm

Financial Statement Fraud Detection using Text Mining

Rajan, Nasib Singh
2012 International Journal of Advanced Computer Science and Applications  
In this study we propose a text mining approach for detecting financial statement fraud by analyzing the hidden clues in the qualitative information (text) present in financial statements.  ...  Data mining techniques have been used enormously by the researchers' community in detecting financial statement fraud.  ...  In order to detect hidden valuable knowledge from textual financial data, we propose a text mining approach in this study because traditional mining techniques are insufficient in detecting fraud from  ... 
doi:10.14569/ijacsa.2012.031230 fatcat:7wccaohunzgedj42i7hi3ggmky

The Survey of Sentiment and Opinion Mining for Behavior Analysis of Social Media

Saqib Iqbal, Ali Zulqurnain, Yaqoob Wani, Khalid Hussain
2015 International Journal of Computer Science & Engineering Survey  
Besides, social media has allowed us to reduce the gaps of physical distance, it also generates and preserves huge amount of data.  ...  This comparison will provide a detailed information, pros and cons in the domain of sentiment and opinion mining.  ...  Qualitative approach is used for cope analysis. Qualitative approach is much hard and time consuming to analyze large dataset. Author selected limited data after cleansing for better results.  ... 
doi:10.5121/ijcses.2015.6502 fatcat:wo2ulnwlwjhbrdvx2xn22a6zci

A Novel Operational Partition between Neural Network Classifiers on Vulnerability to Data Mining Bias

Charles Wong
2014 Journal of Software Engineering and Applications  
vs static and prescient data mining biased laboratory data.  ...  This paper further proposes a novel approach towards qualitatively and quantitatively demonstrating their significant differences based on how they alternatively approach dynamic and raw real world data  ...  The next section discusses a hands-on demonstration comparing a PDL and RDL model on real world data with respect to data mining complexity and bias. Comparing Permanent Data Learning vs.  ... 
doi:10.4236/jsea.2014.74027 fatcat:nyma6fa4wrcdnk7x6cb23fexmi

Empirical Evaluation of Big Data Analytics using Design of Experiment: Case Studies on Telecommunication Data

Samneet Singh, Yan Liu, Wayne Ding, Zheng Li
2016 Services Transactions on Big Data  
We apply this method to evaluate data mining tools and machine learning algorithms towards building big data analytics for telecommunication monitoring data.  ...  Data analytics involves the process of data collection, data analysis, and report generation. Data mining workflow tools usually orchestrate this process.  ...  Our purpose is not to compare any data mining tools or outlier detection approach in an absolute measurement.  ... 
doi:10.29268/stbd.2016.3.2.1 fatcat:kgv2koygkjcfbpg3ps4z45uvbm

Water and health in mining settings in sub-Saharan Africa: A mixed methods geospatial visualization

Andrea Leuenberger, Dominik Dietler, Isaac Lyatuu, Andrea Farnham, Fadhila Kihwele, Fritz Brugger, Mirko S. Winkler
2021 Geospatial Health  
In this paper, we combined macro-level quantitative and micro-level qualitative data to show how mining projects affect water infrastructures and ultimately the health of affected communities.  ...  While mining projects can have positive impacts on the development of local water infrastructure, improved management of negative impacts of mining projects is needed for promoting 'Good health and well-being  ...  However, the planned interventions to mitigate these impacts around the Buzwagi mine were more comprehensive compared to the Bulyanhulu mining project.  ... 
doi:10.4081/gh.2021.965 pmid:34000794 fatcat:dzzx53tggzdn5amrzr4kmjet2u

A Qualitative Method for Mining Open Source Software Repositories [chapter]

John Noll, Dominik Seichter, Sarah Beecham
2012 IFIP Advances in Information and Communication Technology  
The study demonstrates that the qualitative repository mining method can be employed to derive useful results quickly yet accurately.  ...  This paper introduces a qualitative analysis method that is transparent and repeatable, leads to objective findings when dealing with qualitative data, and is efficient enough to be applied to large archives  ...  This work was supported, in part, by Science Foundation Ireland grant 03/CE2/I303 1 to Lero -the Irish Software Engineering Research Centre (  ... 
doi:10.1007/978-3-642-33442-9_18 fatcat:lfhusptt4zf25o3s2fnqenwmmy

A conceptual framework for analyzing students' feedback

Swapna Gottipati, Venky Shankararaman, Sandy Gan
2017 2017 IEEE Frontiers in Education Conference (FIE)  
Capturing and analysing the qualitative feedback data, at the individual course, school and university-level, can provide valuable insights on teaching practices and curriculum.  ...  However, the qualitative comments given by the students are not fully tapped.  ...  Techniques for mining qualitative data The traditional approach of processing text information involves human actions in information gathering, analysis, and dissemination.  ... 
doi:10.1109/fie.2017.8190703 dblp:conf/fie/GottipatiSG17 fatcat:osxlnour5fhyfdqgcwmmf5q22y

Qualitative Data Mining and Its Applications

Ivan Bratko, Dorian �uc
2003 Journal of Computing and Information Technology  
We present one approach to qualitative data mining, in which the target concepts are expressed as qualitative decision trees.  ...  In contrast to this, we consider qualitative data mining which aims at finding qualitative patterns, or qualitative relationships in numerical data.  ...  of an optimisation problem in the Q2Q transformation 2 . 2 The QUIN Approach to Qualitative Data Mining soning.  ... 
doi:10.2498/cit.2003.03.01 fatcat:ubihfonesjgddgbwzwfm6pyiti

Mixed methods study into social impacts of work-related heat stress on Ghanaian mining workers: A pragmatic research approach

Victor Fannam Nunfam
2021 Heliyon  
The merged quantitative and qualitative results also showed adequate corroboration and complementarity between both data, to illustrate the social impacts of work-related heat stress on mining workers  ...  The convergent mixed methods analysis comprising 320 surveys and two focus group interviews were used to evaluate the social impacts of occupational heat stress on Ghanaian mineworkers to enlighten policy  ...  Weaving, as a dynamic approach to narrative integration, was then used to present results theme-by-theme consisting of both the quantitative and qualitative data (Fetters and Freshwater, 2015) .  ... 
doi:10.1016/j.heliyon.2021.e06918 pmid:34013081 pmcid:PMC8113709 fatcat:iy7odl5eijfjhorz4nhwi4rb3a


2002 Computational Intelligent Systems for Applied Research  
However, many data sets contain a mixture of quantitative and qualitative data. W e are considering how to best group records containing multiple kinds of data. It is difficult to do this.  ...  They are useful for small data sets but not suitable for large data sets. There are two types of hierarchical approaches to clustering: agglomerative and divisive.  ...  Data mining discouvers interesting information from a data set. Mining incorporates different methods and considers different kinds of information. Granulation is an important task of mining.  ... 
doi:10.1142/9789812777102_0018 fatcat:kdegcvly5zd6rc3kovmi3f4k7i

Integration of fuzzy reasoning approach (FRA) and fuzzy analytic hierarchy process (FAHP) for risk assessment in mining industry

Shikha Verma, Sharad Chaudhri
2014 Journal of Industrial Engineering and Management  
To serve the said purpose, present work demonstrates a robust hybrid risk assessment approach for mining industry.  ...  Design/Methodology: Accident data from 1995 to 2012 is reviewed to identify hazards contributed to negative outcomes.  ...  The traditional approach adopted for risk assessment in the mining industry relies upon availability and accuracy of data. Traditional technique is not sufficient enough to deal with uncertain data.  ... 
doi:10.3926/jiem.948 fatcat:u3azybvjizbdzfj4bmgsw5yzdi

Quantitative risk assessment and safety databases in Romanian coal mining: preliminary systematic approach

Gabriel - Victor Vasilescu, Roland Iosif Moraru, Gabriel Bujor Bǎbuţ, G.A. Găman
2022 MATEC Web of Conferences  
Risk assessment, approached quantitatively, requires a factual database to define the likelihood of adverse health effects of workplace-related injuries and exposures, and it attempts to balance scientific  ...  Practical guidance should be provided for Romanian coal mining companies to make progress in risk assessment process.  ...  Constantly applied quantitative analysis offers, compared to a qualitative approach, the unique advantage by which system safety and operational performance of engineering systems can be objectively and  ... 
doi:10.1051/matecconf/202235400002 fatcat:lziyrtbnknbknpxdoboyv4u6ra

On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining

Zhiqiang Zheng, Balaji Padmanabhan, Steven O. Kimbrough
2003 INFORMS journal on computing  
T he literature on web-usage mining is replete with data preprocessing techniques, which correspond to many closely related problem formulations.  ...  The results demonstrate that the three approaches result in radically different conclusions and provide initial evidence that a data preprocessing bias exists, the effect of which can be significant.  ...  The quantitative comparison is based on comparing lift curves, being standard in the data-mining literature for comparing classification models.  ... 
doi:10.1287/ijoc. fatcat:hqtvfj4rcnd2jdwxkwcasgw6yi
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