scholarly journals Differentially private partition selection

2021 ◽  
Vol 2022 (1) ◽  
pp. 339-352
Author(s):  
Damien Desfontaines ◽  
James Voss ◽  
Bryant Gipson ◽  
Chinmoy Mandayam
Keyword(s):  
Data Analysis ◽  
The Common ◽  
Area Of Study

Abstract Many data analysis operations can be expressed as a GROUP BY query on an unbounded set of partitions, followed by a per-partition aggregation. To make such a query differentially private, adding noise to each aggregation is not enough: we also need to make sure that the set of partitions released is also differentially private. This problem is not new, and it was recently formally introduced as differentially private set union [14]. In this work, we continue this area of study, and focus on the common setting where each user is associated with a single partition. In this setting, we propose a simple, optimal differentially private mechanism that maximizes the number of released partitions. We discuss implementation considerations, as well as the possible extension of this approach to the setting where each user contributes to a fixed, small number of partitions.

scholarly journals AN ERROR ANALYSIS OF ARGUMENTATIVE ESSAY (CASE STUDY AT UNIVERSITY MUHAMMADIYAH OF METRO)

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Fenny - Thresia
Keyword(s):  
Data Analysis ◽  
Error Analysis ◽  
English Writing ◽  
The Third ◽  
The Subject ◽  
The Common ◽  
Learner Language

The purpose of this study was study analyze the students’ error in writing argumentative essay. The researcher focuses on errors of verb, concord and learner language. This study took 20 students as the subject of research from the third semester. The data took from observation and documentation. Based on the result of the data analysis there are some errors still found on the student’s argumentative essay in English writing? The common errors which repeatedly appear are verb. The second is concord, and learner languages are the smallest error. From 20 samples that took, the frequency the errors of verb are 12 items (60%), concord are 8 items (40%), learner languages are 7 items (35%). As a result, verb has the biggest number of common errors.

scholarly journals E-commerce Network Credibility Modelling Using Block-chain

2021 ◽  
Vol 10 (2) ◽  
pp. 1489-1494
Keyword(s):  
Data Analysis ◽  
Source Code ◽  
Digital Marketing ◽  
Agent Technology ◽  
The Internet ◽  
Storage Space ◽  
Common Code ◽  
Online Transactions ◽  
Block Chain ◽  
The Common

Agent technology has developed into a sturdy instrument for e-commerce approach in recent years. The use of agent technology in e-commerce systems may address traditional e-commerce weaknesses, respond to the intelligence and individual needs of users, and significantly improve the efficiency of online transactions. There are some weaknesses in the system designed in this paper. The system will be less efficient in order to complete decentralization of the system. Every decentralized node needs to redundantly preserve a huge volume of information that not only takes up a lot of storage space however, it also makes cross-requesting and detail verification ineffective. This writing presents the evaluation of integrity of the e-commerce systems using block-chain and large amounts of data analysis. The fast growth of the Internet, in particular in the well-developed field of e-commerce, has advanced to digital marketing. In order to understand the common code generating conventional file to identify the associated event configuration, we will analyze Improved Practical Byzantine IPBF source code algorithms. The simulation shows the efficiency of the model.

Big Data Analysis for Cardiovascular Diseases

2018 ◽  
pp. 102-119
Author(s):  
Miguel A. Sánchez-Acevedo ◽  
Zaydi A. Acosta-Chí ◽  
Beatriz A. Sabino-Moxo ◽  
José A. Márquez-Domínguez ◽  
Rosa M. Canton-Croda
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Medical Devices ◽  
Clinical Analysis ◽  
Big Data Analysis ◽  
Health Issues ◽  
Research Papers ◽  
Healthcare Data ◽  
Common Risk Factors ◽  
The Common

In the healthcare field, plenty of clinical data is generated every day from patient records, surveys, research papers, medical devices, among others sources. These data can be exploited to discover new insights about health issues. For helping decision makers and healthcare data managers, a survey of research works and tools covering the process of handling big data in the healthcare field is included. A methodology for CVD prevention, detection and management through the use of tools for big data analysis is proposed. Also, it is important to maintain privacy of patients when handling healthcare data; therefore, a list of recommendations for maintaining privacy when handling healthcare data is presented. Specific clinical analysis are recommended on those regions where the incidence rate of CVD is high, but a weak relation with the common risk factors is observed according to historical data. Finally, challenges which need to be addressed are presented.

On the Use of Probit-Based Models for Ranking Data Analysis

2019 ◽  
Vol 2673 (4) ◽  
pp. 229-240 ◽  
Author(s):  
Gopindra S. Nair ◽  
Chandra R. Bhat ◽  
Ram M. Pendyala ◽  
Becky P. Y. Loo ◽  
William H. K. Lam
Keyword(s):  
Data Analysis ◽  
Preference Elicitation ◽  
Ordered Probit ◽  
Common Method ◽  
Ordered Logit ◽  
Ranking Data ◽  
Consumer Surveys ◽  
Ranking Of Alternatives ◽  
The Common

In consumer surveys, more information per response regarding preferences of alternatives may be obtained if individuals are asked to rank alternatives instead of being asked to select only the most-preferred alternative. However, the latter method continues to be the common method of preference elicitation. This is because of the belief that ranking of alternatives is cognitively burdensome. In addition, the limited research on modeling ranking data has been based on the rank ordered logit (ROL) model. In this paper, we show that a rank ordered probit (ROP) model can better utilize ranking data information, and that the prevalent view of ranking data as not being reliable (because of the attenuation of model coefficients with rank depth) may be traced to the use of a misspecified ROL model rather than to any cognitive burden considerations.

scholarly journals The Diurnal and Semidiurnal Patterns of Rainfall and its Correlation to the Stream Flow Characteristic in the Ciliwung Watershed, West Java, Indonesia

2018 ◽  
Vol 147 ◽  
pp. 03013
Author(s):  
Edi Riawan ◽  
Tri Wahyu Hadi ◽  
Hadi Kardhana ◽  
Dadang K. Mihardja ◽  
Benyamin Sapiie
Keyword(s):  
Data Analysis ◽  
River Basin ◽  
Stream Flow ◽  
Hydrological Model ◽  
Flow Characteristic ◽  
Diurnal Pattern ◽  
Model Simulations ◽  
Flood Duration ◽  
The Common ◽  
Downstream Area

Based on the data analysis of 16 years of TMPA dataset, the common patterns of rainfall over the Ciliwung River Basin are diurnal and semidiurnal. Those patterns can be associated by a stationary or moving rainstorm with different magnitude and direction. Based on hydrological model simulations, both the pattern and movement have a significant role to the discharge. At the downstream area, the discharge that triggered by semidiurnal pattern of rainfall can produces higher peak discharge and longer flood duration than diurnal pattern. This result open possibility to improve our prediction on design discharge.

Looking Forward in Records of Youth Abused as Children: Risks for Homicidal, Violent, and Delinquent Offenses

2009 ◽  
Vol 104 (1) ◽  
pp. 77-101 ◽  
Author(s):  
John Russell Hughes ◽  
Kenneth G. Busch ◽  
Robert John Zagar ◽  
William M. Grove ◽  
Jack Arbit
Keyword(s):  
Logistic Regression ◽  
Executive Function ◽  
Data Analysis ◽  
Area Under Curve ◽  
Odds Ratios ◽  
Abused Children ◽  
Logistic Regressions ◽  
The Common

To study risks of abuse, violence, and homicide, 181 Abused Children ( M age= 12.85 yr., SD = 2.14; 58 girls, 123 boys) were matched with 181 clinic-referred Controls. Data analysis was Shao's bootstrapped logistic regression with area under curve ( AUC) and odds ratios ( OR). Predictors of abused status were court contacts ( OR = 2.04e+22) and poorer executive function ( OR = .81; AUC=.99; 95% CI = .91−.99). Groups were tracked forward in records for 9 years ( M=8.78 yr., SD =1.41). Looking forward, youth ( M age = 21.63 yr., SD = 2.07) were classified into Abused Children Later Homicidal (5%, n = 10), Abused Children Later Violent (23%, n = 41), Abused Children Later Delinquent (28%, n = 50), Abused Children Later Nondeliquent (44%, n = 80), and Controls ( n = 181). Data were analyzed with two more logistic regressions. Predictors of Abused Children Later Homicidal compared with Controls were number of court contacts ( OR =50,398.78) and poorer executive function ( OR = 79.72; AUC =.91; 95% CI= .80−.95). The predictor of Abused Children Later Homicidal contrasted with Abused Children Later Nondelinquent was court contacts ( OR = 2,077,089,352; AUC=.87; 95% CI =.65−.95). The common predictor for Abused Children and Abused Children Later Homicidal groups was court contacts.

scholarly journals COMMON GRAMMATICAL ERRORS IN THE USE OF ENGLISH AS A FOREIGN LANGUAGE: A CASE IN STUDENTS’ UNDERGRADUATE THESES

LITERA ◽  
2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Bambang Sugeng
Keyword(s):  
Data Analysis ◽  
Foreign Language ◽  
Common Core ◽  
Potential Solution ◽  
Passive Voice ◽  
Grammatical Errors ◽  
The Common ◽  
Thesis Writing ◽  
Undergraduate Thesis

This study aims to find out the multitude of students’ grammatical errors in their undergraduate theses and the learning materials needed to counter this problem. Thestudy was a survey involving 228 undergraduate theses from 28 English study programsfrom 17 out of the 34 provinces in Indonesia. Data analysis included grouping, counting,and ranking the data. The findings show that errors rank as follows: verb groups, finiteverbs, subject-verb concords, predicates, concords of nouns, concords of numbers, clauses,passive voice, and word choices. The common-core grammar materials, which containinter-lingual implications, are recommended to be used as a potential solution to improve the quality of undergraduate thesis writing for students of the English study program.Keywords: inter-language, grammatical errors, common-core grammar

scholarly journals Lexical Errors Found in Subtitling Projects of EFL Learners of University of Lancang Kuning

2019 ◽  
Vol 10 (2) ◽  
pp. 155-166
Author(s):  
Destina Kasriyati ◽  
Siti Rafiah ◽  
Herdi Herdi ◽  
M. Fadhly Farhy Abbas
Keyword(s):  
Data Analysis ◽  
English Education ◽  
Education Department ◽  
Efl Learners ◽  
The World ◽  
The Common ◽  
Word Translation ◽  
Translation Machine ◽  
Lexical Errors ◽  
Tube Channel

The phenomenon of the study is some students wrongly order the word in a sentence as the result of word by word translation and they translate it using translation machine like Google translate so that it is still has an errors in sentence or word. By doing the project uploaded as subtitle in form of video and music in students’ You Tube channel, so around the world see it and become evaluation to the next translator become a good translator. The research aimed to find out the common lexical errors in subtitling projects at the eighth semester students of English Education Department. The research design was descriptive quantitative. Subject the research was 20 students. The instrument was documentation. From the data analysis by rater’s one, it was found that students made lexical error was 136 cases included in semantic confusion was 44 cases with percentages 32.35% was the common lexical error. From the rater’s two was 109 lexical errors still with semantic confusion was 40 cases with percentage 36.69%. It means that the students had enough English vocabulary but they do not know the usage of words in sentences when translate it. Also, it means that students need more practice in translation because of some errors still happen.

scholarly journals sr ALIGNING THE TOEFL PREDICTION SCORES TO THE COMMON EUROPEAN FRAMEWORK OF REFERENCE FOR LANGUAGES (CEFR) LEVEL

2020 ◽  
Vol 5 (01) ◽  
pp. 33-42
Author(s):  
Sri Supeni ◽  
Anna Fauziah
Keyword(s):  
Data Analysis ◽  
Language Proficiency ◽  
Language Ability ◽  
Descriptive Statistics ◽  
Analysis Technique ◽  
Study Programs ◽  
Prediction Test ◽  
The Common ◽  
The Mean ◽  
English Competence

TOEFL as a kind of English test is used to measure students’ language proficiency. Binawan University applies TOEFL Prediction test to predict students’ English competence. The TOEFL score then is aligned and mapped to CEFR to indicate the level of language ability and qualification.    This study was conducted to analyze TOEFL score of Binawan students at CEFR level. The sample was 169 students from several study programs at Binawan University. The research instrument used a package of PBT TOEFL test. Descriptive statistics was used as data analysis technique, mean and percentage. The calculation shows that the mean of the TOEFL prediction score reached by all participants is 413 and the median is 397. Based on CEFR, the students’ competence in English is in level A2 (Basic User). Individually, the number of students who is in level A1 (Basic User) is 78 or 46.2 %, level A2 (Basic User) is 35 or 20.7 %, level B1 (Independent User) is 43 or 25.4 %, level B2 (independent User) is 12 or 7.1 %, and the last is level C1 which is occupied by 1 student only that is in level C1 (0.6 %). To conclude almost 50 % of the students were at low level or A2 (Basic User) at CEFR.

scholarly journals MELASMA SHOW UP IN CONTRACEPTIVE PILLS ACCEPTORS

2021 ◽  
Vol 10 (1) ◽  
pp. 74-77
Author(s):  
Cahya Novenita Azzahra ◽  
Widyawati Widyawati ◽  
Liza Afriliana ◽  
Julian Dewantiningrum
Keyword(s):  
Data Analysis ◽  
Oral Contraceptive ◽  
Oral Contraceptives ◽  
Chi Square ◽  
Cross Sectional ◽  
Contraceptive Pills ◽  
Chi Square Test ◽  
Physical Examinations ◽  
The Common ◽  
Cross Sectional Design

AbstractIntroduction : Melasma is one of the most common hyperpigmentation disorders among womans, the common hyperpigmentation patches which commonly found on face especially on sunlight exposured area. One of the factors causing melasma is the use of oral contraceptives which cause the buildup of the hormones estrogen and progesterone on the skin.Objectives : Thus, the aim of the study is to analyze the association between duration of contraceptive pills use and melasma.Methods : This study used a cross-sectional design. The research was conducted in May-July 2020. The subjects were 36 womans aged 30-55 years old and oral contraceptive acceptors that qualify inclussion criteria and not eligible exclussion criteria. The data was collected primarily using questionnaires. Physical examinations were done through observation with a photo of the respondents. Data analysis using the Chi Square test with a significance value p <0,05.Results : Based on the results of this study, the significance of 0.017 less than 0.05 which indicates a relationship between variables duration of contraceptive pills use and melasma. Conclusions : This study shows a association between duration of contraceptive pills use and melasmaKeywords : melasma, contraceptive pills.

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