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Identifying User Profiles from Statistical Grouping Methods
2018
Journal of Information Systems Engineering & Management
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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
2016
Proceedings of the First Workshop on NLP and Computational Social Science
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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]
2018
arXiv
pre-print
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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
2006
Proceedings of the second international workshop on Multi-hop ad hoc networks: from theory to reality - REALMAN '06
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., 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
2021
NAR Genomics and Bioinformatics
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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]
2006
Lecture Notes in Computer Science
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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
2018
PLoS ONE
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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
2007
Cold Spring Harbor Symposia on Quantitative Biology
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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
2015
Environment Technology Resources Proceedings of the International Scientific and Practical Conference
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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
2020
Applied Sciences
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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
2014
2014 22nd International Conference on Pattern Recognition
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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
2018
Procedia Computer Science
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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
2000
Communications of the Association for Information Systems
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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]
2009
Lecture Notes in Computer Science
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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
2007
Physiological Genomics
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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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