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Identifying User Profiles from Statistical Grouping Methods

Francisco Kelsen de Oliveira, Max Brandão de Oliveira, Alex Sandro Gomes, Leandro Marques Queiros
2018 Journal of Information Systems Engineering & Management  
The statistical methods of grouping were performed and showed the possibilities of groupings of the users.  ...  for grouping with 92% similarity in the formation of groups of users with skill with technology and the other with little skill, confirming the accuracy of the techniques of discrimination against individuals  ...  The objective of this investigation was to identify statistical methods able to survey individuals group into subgroups with similar features on their skills with technology.  ... 
doi:10.20897/jisem.201806 fatcat:2jtnrub5yjcjrlmmw2cdjbrsa4

The Effects of Data Collection Methods in Twitter

Sunghwan Mac Kim, Stephen Wan, Cecile Paris, Jin Brian, Bella Robinson
2016 Proceedings of the First Workshop on NLP and Computational Social Science  
We present a comparative analysis of the four data acquisition methods in the context of estimating occupation statistics for Australia.  ...  In this paper, we compare four different Twitter data acquisition methods and explore their effects on the prediction of one particular demographic characteristic: occupation (or profession).  ...  Finally, we assembled the subsets of the Twitter user profiles, where occupations were identified using the KWS method.  ... 
doi:10.18653/v1/w16-5611 dblp:conf/acl-nlpcss/KimWPJR16 fatcat:3yqxo44vefcznidqwvro7z5b6q

From the User to the Medium: Neural Profiling Across Web Communities [article]

Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara
2018 arXiv   pre-print
As these groups and topics often arise organically, identifying the types of topics discussed is necessary to understand their needs.  ...  Thus here we develop an approach, NeuroCom, that optimally finds dense groups of users as communities in a latent space inferred by neural representation of published contents of users.  ...  Related Work Methods for identifying relevant groups is an active area of research; a great deal of work is on graph-based data such as social or information networks.  ... 
arXiv:1812.00912v1 fatcat:nz5fupfokvhdhkbkyp7nksc5pu

On profiling mobility and predicting locations of wireless users

Joy Ghosh, Matthew J. Beal, Hung Q. Ngo, Chunming Qiao
2006 Proceedings of the second international workshop on Multi-hop ad hoc networks: from theory to reality - REALMAN '06  
., a week), a user may repeatedly follow a mixture of mobility profiles with certain probabilities associated with each of the profiles.  ...  In particular, we show that such profile based location predictions are more precise than common statistical approaches based on observed hub visitation frequencies alone.  ...  In particular, as seen in the cases for the users from groups G2, G3, G4 and G6 our predictions would be completely accurate, whereas those from the statistical method are far from correct.  ... 
doi:10.1145/1132983.1132993 dblp:conf/mobihoc/GhoshB0Q06 fatcat:zisoqfjn2ncyxly6k5dv3h4a4e

ResistoXplorer: a web-based tool for visual, statistical and exploratory data analysis of resistome data

Achal Dhariwal, Roger Junges, Tsute Chen, Fernanda C Petersen
2021 NAR Genomics and Bioinformatics  
Despite the progress, there are no easy-to-use tools for comprehensive visual, statistical and functional analysis of resistome data.  ...  ResistoXplorer contains three modules—the 'Antimicrobial Resistance Gene Table' module offers various options for composition profiling, functional profiling and comparative analysis of resistome data;  ...  This section enables users to perform statistical testing to identify features that are significantly different in abundance across sample groups.  ... 
doi:10.1093/nargab/lqab018 pmid:33796850 pmcid:PMC7991225 fatcat:hxcqeewwqjhfng6ya4jkdbl6lu

Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm [chapter]

C. Rubio-Escudero, R. Romero-Záliz, O. Cordón, O. Harari, C. del Val, I. Zwir
2006 Lecture Notes in Computer Science  
The rapid development of methods that select over/under expressed genes from microarray experiments have not yet matched the need for tools that identify informational profiles that differentiate between  ...  Consequently, we propose a procedure that, given certain user-defined preferences, generates an optimal suite of statistical methods.  ...  We have shown herein how commonly used statistical methods yield different results for the same data input: each statistical method applied neither identifies all observable differential profiles, nor  ... 
doi:10.1007/11732242_16 fatcat:vldg3h6f6betxkiwlp4pj4hqwe

shinyGISPA: A web application for characterizing phenotype by gene sets using multiple omics data combinations

Bhakti Dwivedi, Jeanne Kowalski, Marinus F. W. te Pas
2018 PLoS ONE  
While many methods exist for integrating multi-  ...  Special thanks to Kenneth Buck for his assistance with building and configuring the server for hosting shinyGISPA.  ...  Acknowledgments We would like to thank the Cancer Informatics Core of the Winship Cancer Institute of Emory University for supporting the CentOS server.  ... 
doi:10.1371/journal.pone.0192563 pmid:29415010 pmcid:PMC5802933 fatcat:l2cxxyndbvb7vob2brpttpnew4

The Diurnal Project: Diurnal and Circadian Expression Profiling, Model-based Pattern Matching, and Promoter Analysis

T. C. Mockler, T. P. Michael, H. D. Priest, R. Shen, C. M. Sullivan, S. A. Givan, C. McEntee, S. A. Kay, J. Chory
2007 Cold Spring Harbor Symposia on Quantitative Biology  
The DIURNAL project (http://diurnal.cgrb.oregonstate.edu/) provides a graphical interface for mining and viewing diurnal and circadian microarray data for Arabidopsis thaliana, poplar, and rice.  ...  The database is searchable and provides access to several user-friendly Web-based data-mining tools with easy-to-understand output. The associated tools include HAYSTACK  ...  The goal of the ELEMENT program is to provide a user-friendly Web-based tool that uses the enumerative method to identify statistically overrepresented 3-8 mer DNA words in a group of coexpressed genes  ... 
doi:10.1101/sqb.2007.72.006 pmid:18419293 fatcat:mdyymm5wdnfhxk63tj34eilrci

Instrument of determination and prediction of public opinion using IPTV statistic data

Vjačeslavs Dubovskis
2015 Environment Technology Resources Proceedings of the International Scientific and Practical Conference  
formed, identifying and previse the adoption of the reported information.  ...  There is a need for a new instrument of determination and prediction of public opinion.  ...  Identify and display statistics of popular TV channels. 2. Identify and display statistics of popularity of individual programs. 3. Show general statistics data for TV viewing. 4.  ... 
doi:10.17770/etr2015vol3.181 fatcat:fpzrcbkbababnlif7pp6k3vf6a

Secure Learning Management System Based on User Behavior

Alin Zamfiroiu, Diana Constantinescu, Mădălina Zurini, Cristian Toma
2020 Applied Sciences  
These systems have been used also for traditional forms of learning and not only for online learning.  ...  In this paper, we propose a secure learning management system that uses the student's behavior to identify if they are an authentic student or not.  ...  Sci. 2020, 10, x FOR PEER REVIEW 12 of Unauthorized users identified. Figure 2 . 2 Unauthorized users identified. Table 1 . 1 Static methods for authentication.  ... 
doi:10.3390/app10217730 fatcat:sf3xvvfkkffuplswis6v73dlpe

Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency

Sangmin Oh, Megha Pandey, Ilseo Kim, Anthony Hoogs, Jeff Baumes
2014 2014 22nd International Conference on Pattern Recognition  
In addition, we introduce a statistical approach to identify users with salient profiles, which can be useful for social multimedia services for blocking users with undesirable behavior or viral content  ...  To characterize user profiles in these two behavioral modes, we propose an approach to characterize users' supply and consumption profiles based on the image content types with which they engage.  ...  It can be observed that users with salient profiles identified by the proposed method appear mostly at the boundary as expected 1 . B.  ... 
doi:10.1109/icpr.2014.351 dblp:conf/icpr/OhPKHB14 fatcat:7nwkm2kf4vbuxme642pre5fnmm

Abnormal Detection of Electric Management System based on Spatial-temporal User Profile

Bingfeng Cui, Hongbin Zhu
2018 Procedia Computer Science  
Finally, we detect the abnormal behavior by comparing the user profile with the profile of the group that user belongs to.  ...  Abnormal detection of user behavior is essential for Electric Management Information System to ensure its stable operations.  ...  According to the experiment results, the proposed method can identify the semantic tag from the user log file and generate the user profile for abnormal detection.  ... 
doi:10.1016/j.procs.2018.10.267 fatcat:to6d4aijxnebtjg7b5jixqei6y

User Profiles as a Basis for an Electronic Statistical Consulting System

Ayelet Berg, Israel Spiegler
2000 Communications of the Association for Information Systems  
Profiles As A Basis for an Electronic Statistical Consulting System By A.  ...  Based on the findings, design guidelines are presented for an electronic consulting system which can bridge the gap between the user and the wide range of statistical methods available in commercial packages  ...  Nearly a third (32%) of the users let consultants perform the analysis for them. Such a profile is an essential consideration for designing an electronic consulting system. Statistical Methods.  ... 
doi:10.17705/1cais.00312 fatcat:cqyxuryckfg4jasqsbolwfkrja

Characterizing User Groups in Online Social Networks [chapter]

László Gyarmati, Tuan Anh Trinh
2009 Lecture Notes in Computer Science  
We used more than 200 PlanetLab [1] nodes for our measurement, monitored more than 3000 users for three weeks by downloading repeatedly their profile pages; more than 100 million pages were processed in  ...  Finally, we illustrate the wide applicability of our datasets by predicting the sign out method of the OSN users.  ...  Sign Out Methods The focus of our measurement method is the characterisation of user groups at different online social networks based on user activity.  ... 
doi:10.1007/978-3-642-03700-9_7 fatcat:5i4nqle4cjdn7fd7k2v6z5clv4

PADGE: analysis of heterogeneous patterns of differential gene expression

Li Li, Amitabha Chaudhuri, John Chant, Zhijun Tang
2007 Physiological Genomics  
ACKNOWLEDGMENTS We thank Tom Wu for insightful discussion, Xiaolong Yu for suggestions and help with statistical analysis, Kenneth Jung for implementation of CyberT, and William Wood and Zemin Zhang for  ...  Users can define a series of percentile cutoffs to stratify sample groups for subset statistical tests. A minimal sample size of 5 is required for subset statistical tests.  ...  Recently, two methods, cancer outlier profile analysis (COPA) (12) and profile analysis using clustering and kurtosis (PACK) (11) , were developed to identify cancer markers within tumor subclasses  ... 
doi:10.1152/physiolgenomics.00259.2006 pmid:17925482 fatcat:oh7ak2w6h5hl7kluk5ctmiroge
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