scholarly journals An Improved Evaluation Methodology for Mining Association Rules

Axioms ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 17
Author(s):  
Fuguang Bao ◽  
Linghao Mao ◽  
Yiling Zhu ◽  
Cancan Xiao ◽  
Chonghuan Xu
Keyword(s):  
Risk Analysis ◽  
Association Rules ◽  
Evaluation Methodology ◽  
Personalized Recommendation ◽  
Practical Application ◽  
Chi Square ◽  
Objective Criterion ◽  
Interestingness Measure ◽  
Advantages And Disadvantages ◽  
Chi Square Analysis

At present, association rules have been widely used in prediction, personalized recommendation, risk analysis and other fields. However, it has been pointed out that the traditional framework to evaluate association rules, based on Support and Confidence as measures of importance and accuracy, has several drawbacks. Some papers presented several new evaluation methods; the most typical methods are Lift, Improvement, Validity, Conviction, Chi-square analysis, etc. Here, this paper first analyzes the advantages and disadvantages of common measurement indicators of association rules and then puts forward four new measure indicators (i.e., Bi-support, Bi-lift, Bi-improvement, and Bi-confidence) based on the analysis. At last, this paper proposes a novel Bi-directional interestingness measure framework to improve the traditional one. In conclusion, the bi-directional interestingness measure framework (Bi-support and Bi-confidence framework) is superior to the traditional ones in the aspects of the objective criterion, comprehensive definition, and practical application.

scholarly journals A novel interestingness measure based on fusion model for association rules mining

2021 ◽  
Vol 336 ◽  
pp. 05009
Author(s):  
Junrui Yang ◽  
Lin Xu
Keyword(s):  
Association Rules ◽  
Negative Association ◽  
Fusion Model ◽  
Interestingness Measures ◽  
Association Rules Mining ◽  
Interestingness Measure ◽  
Advantages And Disadvantages ◽  
Measure Model ◽  
Negative Association Rules ◽  
The Difference

Aiming at the shortcomings of the traditional "support-confidence" association rules mining framework and the problems of mining negative association rules, the concept of interestingness measure is introduced. Analyzed the advantages and disadvantages of some commonly used interestingness measures at present, and combined the cosine measure on the basis of the interestingness measure model based on the difference idea, and proposed a new interestingness measure model. The interestingness measure can effectively express the relationship between the antecedent and the subsequent part of the rule. According to this model, an association rules mining algorithm based on the interestingness measure fusion model is proposed to improve the accuracy of mining. Experiments show that the algorithm has better performance and can effectively help mining positive and negative association rules.

scholarly journals A Novel Method of Interestingness Measures for Association Rules Mining Based on Profit

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Chunhua Ju ◽  
Fuguang Bao ◽  
Chonghuan Xu ◽  
Xiaokang Fu
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Negative Relationship ◽  
Practical Application ◽  
Objective Criterion ◽  
Interestingness Measures ◽  
Association Rules Mining ◽  
New Methods ◽  
Measure Methods ◽  
Novel Method

Association rules mining is an important topic in the domain of data mining and knowledge discovering. Some papers have presented several interestingness measure methods; the most typical areSupport,Confidence,Lift,Improve, and so forth. But their limitations are obvious, like no objective criterion, lack of statistical base, disability of defining negative relationship, and so forth. This paper proposes three new methods,Bi-lift, Bi-improve, andBi-confidence, forLift, Improve, and Confidence, respectively. Then, on the basis of utility function and the executing cost of rules, we propose interestingness function based on profit (IFBP) considering subjective preferences and characteristics of specific application object. Finally, a novel measure framework is proposed to improve the traditional one through experimental analysis. In conclusion, the new methods and measure framework are prior to the traditional ones in the aspects of objective criterion, comprehensive definition, and practical application.

PERSEPSI PETERNAK PADA KEPEMIMPINAN PENDAMPING DAN HUBUNGANNYA DENGAN PRODUKTIVITAS USAHA TERNAK DI PAGUYUBAN AL-AWWALIYAH, PASIRWANGI, GARUT, JAWA BARAT

2019 ◽  
Vol 12 (1) ◽  
pp. 42-51
Author(s):  
Dwi Indah Sulistiani ◽  
Ujang Maman ◽  
Junaidi J
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Primary Data ◽  
Leadership Qualities ◽  
Chi Square ◽  
Education Experience ◽  
Spss Software ◽  
Chi Square Analysis ◽  
And Behavior ◽  
The Relationship

Objective of this research; 1) determine the perception of ranchers against the properties and behavior of the leadership of the companion in the Society of Al-Awwaliyah 2) analyze the relationship between productivity breeder with productivity of livestock in the Society of Al-Awwaliyah 3) identify the relationship perceptions of ranchers against the leadership companion with productivity of livestock in the Society of Al-Awwaliyah , The data used in this study are primary and secondary data. Primary data were obtained from questionnaires which stem from ranchers while secondary data sourced from literature in the form of books and articles. Data processing was performed using Chi-square analysis using SPSS software version 21. One of the factors relating to the productivity of ranchers is the perception of ranchers against the leadership of their companion. Leadership companion views of the nature and behavior of which is owned by a companion. Productivity ranchers indirectly related to the productivity of the cattle business. Characteristics breeder visits of age, years of education, experience ranchers, and businesses in addition to ranchers. The results of data analysis showed that there is a significant relationship between business other than ranchers with ranchers productivity. The relationship between the perception of the nature of the companion breeder with productivity ranchers produce Pearson Chi-Square value is 9.751 and Asymp. Sig. (2-sided) of 0.002. This is due to interest ranchers against leadership qualities possessed by a companion who produce prolific ranchers. Ranchers consider that a companion of his leadership qualities are ideal as a companion.

The Effect of Sanctions on Cooperative Behavior: A Study on Medium Trust Individuals in the Context of Corruption

2018 ◽  
Vol 34 (1) ◽  
Author(s):  
Dewi Rosiana ◽  
Achmad Djunaidi ◽  
Indun Lestari Setyono ◽  
Wilis Srisayekti
Keyword(s):  
Logistic Regression ◽  
Public Interest ◽  
Logistic Regression Model ◽  
Cooperative Behavior ◽  
Research Subjects ◽  
Chi Square ◽  
Public Interests ◽  
The Public ◽  
Chi Square Analysis ◽  
Personal Interests

This study aims to describe the effect of sanctions (individual sanctions, collective sanctions, and absence of sanctions) on cooperative behavior of individuals with medium trust in the context of corruption. Both collective sanctions and individual sanctions, are systemic, which means sanctioning behavior is exercised not by each individual but by the system. Cooperative behavior in this context means choosing to obey rules, to reject acts of corruption and to prioritize public interests rather than the personal interests. Conversely, corruption is an uncooperative behavior to the rules, and ignores the public interest and prioritizes personal interests. Research subjects were 62 students. The Chi-Square Analysis was used to see the association between the variables and the logistic regression model was applied to describe the structure of this association. Individual sanction is recommended as punishment to medium trust individuals to promote cooperative behavior in the context of corruption. The results showed that individuals with medium trust had more cooperative behavior.

Evaluation of a New Clinical Test of Fusion Status: A Pilot Study

2019 ◽  
pp. 113-118
Keyword(s):  
Pilot Study ◽  
Ohio State University ◽  
Background Suppression ◽  
Clinical Test ◽  
State University ◽  
Chi Square ◽  
Central Fusion ◽  
Eye Examination ◽  
The Ohio State University ◽  
Chi Square Analysis

Background Suppression is associated with binocular vision conditions such as amblyopia and strabismus. Commercial methods of testing fusion often only measure central fusion or suppression at near. The purpose of this pilot study was to assess a new iPad picture fusion test that assesses foveal and central fusion at near. Methods Participants aged 5 years and older presenting for eye examination at The Ohio State University College of Optometry were enrolled. Results from visual acuity, dry and wet refraction/retinoscopy, stereopsis and cover testing were recorded from the patient chart. The iPad picture fusion test, Worth four-dot, Worth type test with foveal letter targets, and Polarized four-dot were performed by one examiner in a randomized order at 40 cm. Testing was repeated with the anaglyphic filters reversed. Crosstabulation and McNemar chi-square analysis were used to compare the results between fusion testing devices. Results Of the fifty participants (mean age = 17.5), twelve reported suppression and one reported diplopia. Testability was excellent for all tests (98% to 100%). There were no significant differences between tests in reported results (P ≥ 0.22 for all comparisons). No difference in reported fusion or suppression status was observed with change in orientation of the anaglyphic filters. Six participants reported foveal suppression alone at near which was not identified with Worth four-dot at near. Conclusion The iPad picture fusion test provided excellent testability and agreement with commonly used tests of fusion and allowed testing of both central and foveal fusion at near. Nearly half (46%) of participants with suppression reported foveal suppression, supporting the importance of testing for foveal suppression.

PENGARUH PEMBERIAN PELAYANAN INFORMASI OBAT DAN KONSELING TERHADAP TINGKAT KEPATUHAN MINUM OBAT PADA PASIEN DIABETES MELITUS DENGAN HIPERTENSI DI RUMAH SAKIT DAERAH IDAMAN BANJARBARU

2020 ◽  
Vol 5 (2) ◽  
pp. 240-249
Author(s):  
Satrio Wibowo Rahmatullah ◽  
◽  
Ika Maulida Nurrahma ◽  
Adnan Syahrizal
Keyword(s):  
Drug Information ◽  
Treatment Success ◽  
Information Service ◽  
Regional Hospital ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Quasi Experimental ◽  
High Level ◽  
Chi Square Analysis

Compliance to achieve treatment success can be improved by providing drug information services (PIO) and counseling to improve understanding of treatment instructions. The general objective of this study was to determine the effect of drug information service and counseling on the level of medication adherence in patients with diabetes mellitus (DM) with hypertension in the Banjarbaru Regional Hospital. This study uses a quasi experimental method with a cross sectional approach and takes patient data prospectively. The results of this study indicate that the group given PIO and counseling showed a high level of adherence as many as 20 respondents (100%). Whereas in the group that was not given PIO and the counseling level of adherence was low, there were 4 respondents (20%). Based on the mann-whitney analysis p-value = 0,000 (<α = 0.05) so that there are differences in the group with PIO and counseling with groups without PIO and counseling, while the chi square analysis p-value = 0.004 (<α = 0 , 05) so that PIO and counseling have a significant effect on the level of adherence to taking medication in patients with DM with hypertension at the Banjarbaru Regional Hospital.

Trends in the incidence and mortality of oral cancer in Nevada (Preprint)

2020 ◽  
Author(s):  
Kevin Foote ◽  
Karl Kingsley
Keyword(s):  
Public Health ◽  
Oral Cancer ◽  
Cancer Incidence ◽  
Cancer Control ◽  
Cancer Registries ◽  
Public Health Research ◽  
Chi Square ◽  
Incidence And Mortality ◽  
The Us ◽  
Chi Square Analysis

BACKGROUND Reviews of national and state-specific cancer registries have revealed differences in rates of oral cancer incidence and mortality that have implications for public health research and policy. Many significant associations between head and neck (oral) cancers and major risk factors, such as cigarette usage, may be influenced by public health policy such as smoking restrictions and bans – including the Nevada Clean Indoor Act of 2006 (and subsequent modification in 2011). OBJECTIVE Although evaluation of general and regional advances in public policy have been previously evaluated, no recent studies have focused specifically on the changes to the epidemiology of oral cancer incidence and mortality in Nevada. METHODS Cancer incidence and mortality rate data were obtained from the National Cancer Institute (NCI) Division of Cancer Control and Population Sciences (DCCPS) Surveillance, Epidemiology and End Results (SEER) program. Most recently available rate changes in cancer incidence and mortality for Nevada included the years 2012 – 2016 and are age-adjusted to the year 2000 standard US population. Comparisons of any differences between Nevada and the overall US population were evaluated using Chi square analysis. RESULTS This analysis revealed that the overall rates of incidence and mortality from oral cancer in Nevada differs from that observed in the overall US population. For example, although the incidence of oral cancer among Caucasians is increasing in Nevada and the US overall, it is increasing at nearly twice that rate in Nevada, P=0.0002. In addition, although oral cancer incidence among Minorities in the US is declining, it is increasing in Nevada , P=0.0001. Analysis of reported mortality causes revealed that mortality from oral cancer increased in the US overall but declined in Nevada during the same period (2012-2016). More specifically, mortality among both Males and Females in the US is increasing, but is declining in Nevada, P=0.0027. CONCLUSIONS Analysis of the epidemiologic data from Nevada compared with the overall US revealed significant differences in rates of oral cancer incidence and mortality. More specifically, oral cancer incidence increased in Nevada between 2012-2016 among all groups analyzed (Males, Females, White, Minority), while decreases were observed nationally among Females and Minorities. Although mortality in Nevada decreased over this same time period (in contrast to the national trends), the lag time between diagnosis (incidence) and mortality suggests that these trends will change in the near future. CLINICALTRIAL Not applicable

scholarly journals 1136. Trends in Speaker Representation at the Infectious Diseases Society of America (IDSA) IDWeek Conference, 2013-2019

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S597-S597
Author(s):  
Jasmine R Marcelin ◽  
Rohan Khazanchi ◽  
Elizabeth Lyden ◽  
Kelly Cawcutt ◽  
Ravina Kullar ◽  
...  
Keyword(s):  
Gender Equity ◽  
Linear Increase ◽  
Program Committee ◽  
Chi Square ◽  
Poster Sessions ◽  
Professional Degree ◽  
Race Ethnicity ◽  
Chi Square Analysis ◽  
Changes Over Time ◽  
Over Time

Abstract Background Over the last decade, there have been sustained efforts to diversify the healthcare workforce. In 2016, the IDWeek Program Committee was charged to ensure gender equity in speaker sessions. Whether this intervention also resulted in more opportunities for underrepresented speakers has not been determined. Methods This project was supported by IDSA, who provided demographic information on IDWeek speakers (excluding poster sessions) from 2013-2019. Data were summarized using descriptive statistics, and chi-square analysis evaluated changes over time. Each speaker slot was considered an independent event. Data was combined for 2013-2016 (≤2016) and 2017-2019 (&gt;2016). IDSA membership demographics were available from 2014 for gender, race/ethnicity, from 2016 for age, and from 2018 for professional degree. Results A total of 3640 speaker slots were filled by 2504 individuals from 2013-2019. A larger proportion of speaker slots were filled by women &gt;2016 (51%) vs ≤ 2016 (43%), with a linear increase from 38.6% in 2013 to 52.1% in 2019 (p&lt; 0.001). Averaged across 2013-2019, IDSA membership was 67.5% White, 20.6% Asian, 7.7% Latinx, 3.9% Black, and 0.4% Other. IDWeek Speakers during that timeframe were 77.7% White, 13.9% Asian, 4.7% Latinx, 2.7% Black, and 1.0% Other; a larger proportion of slots were filled by Asian speakers &gt;2016 (16.3%) vs ≤ 2016 (12.8%) (p=0.005). The proportion of pharmacist speakers increased over time; 5.1% of speakers in 2019 reflected IDSA pharmacist membership (5.4%). The proportion of individuals invited to speak more than once differed by age (19% in &lt; 40yo, 28% 40-49yo, 32% 50-59yo, and 22% &gt;60yo; p&lt; 0.001), and professional degree (28% physicians, 18% pharmacists, 9% other doctorates, and 7% non-doctorate speakers; p&lt; 0.001). Figure 1: Trends in Gender Distribution of IDWeek Speakers and IDSA Members, 2013-2019 Figure 2: Trends in Race/Ethnicity Distribution of IDWeek Speakers and IDSA Members, 2013-2019 Conclusion Intentional consideration of gender equity by the Program Committee significantly improved equitable gender representation of invited speakers at IDWeek. This effort has not resulted in increased diversity of invited speakers from groups underrepresented in IDSA membership. To ensure that invited speakers represent the membership of IDSA/IDWeek partner organizations and more importantly, the communities we serve, we call for continued application of the principles of Inclusion, Diversity, Access, and Equity at IDWeek. Disclosures All Authors: No reported disclosures

scholarly journals Model-independent calibrations of gamma-ray bursts using machine learning

2021 ◽  
Vol 503 (3) ◽  
pp. 4581-4600
Author(s):  
Orlando Luongo ◽  
Marco Muccino
Keyword(s):  
Machine Learning ◽  
Dark Energy ◽  
Gamma Ray ◽  
Gamma Ray Bursts ◽  
Bayesian Regression ◽  
Machine Learning Techniques ◽  
Acoustic Oscillations ◽  
Chi Square ◽  
Model Independent ◽  
Chi Square Analysis

ABSTRACT We alleviate the circularity problem, whereby gamma-ray bursts are not perfect distance indicators, by means of a new model-independent technique based on Bézier polynomials. We use the well consolidate Amati and Combo correlations. We consider improved calibrated catalogues of mock data from differential Hubble rate points. To get our mock data, we use those machine learning scenarios that well adapt to gamma-ray bursts, discussing in detail how we handle small amounts of data from our machine learning techniques. We explore only three machine learning treatments, i.e. linear regression, neural network, and random forest, emphasizing quantitative statistical motivations behind these choices. Our calibration strategy consists in taking Hubble’s data, creating the mock compilation using machine learning and calibrating the aforementioned correlations through Bézier polynomials with a standard chi-square analysis first and then by means of a hierarchical Bayesian regression procedure. The corresponding catalogues, built up from the two correlations, have been used to constrain dark energy scenarios. We thus employ Markov chain Monte Carlo numerical analyses based on the most recent Pantheon supernova data, baryonic acoustic oscillations, and our gamma-ray burst data. We test the standard ΛCDM model and the Chevallier–Polarski–Linder parametrization. We discuss the recent H0 tension in view of our results. Moreover, we highlight a further severe tension over Ωm and we conclude that a slight evolving dark energy model is possible.

scholarly journals 264 Effects of Water Quality on Nursery Pig Performance and Health

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 89-89
Author(s):  
Brigit Lozinski ◽  
Brent Frederick ◽  
Adrienne Hilbrands ◽  
Yuzhi Li ◽  
Milena Saqui-Salces ◽  
...  
Keyword(s):  
Water Quality ◽  
Experimental Unit ◽  
Respiratory Syndrome Virus ◽  
Chi Square ◽  
Wide Range ◽  
Mycoplasma Pneumonia ◽  
Quality Water ◽  
Pig Performance ◽  
Chi Square Analysis ◽  
Water Treatments

Abstract Newly-weaned pigs (n = 450; age = 20 d) were used in a 40-d experiment to determine the effects of water quality on pig performance and health. Pigs were sourced from a single commercial sow farm that was negative for both Porcine Reproductive and Respiratory Syndrome virus and Mycoplasma Pneumonia. Pigs were allotted randomly to 45 pens (10 pigs/pen) and pens were assigned to 1 of 3 water treatments that provided water of differing quality. Waters were selected to represent a wide range of perceived water quality. Water quality was determined based on concentration of analytes including sulfates (1,120; 617; 2 ppm), iron (5.4; 5.2; 1.3 ppm), Total Dissolved Solids (TDS; 1,500; 1,050; 348 ppm), hardness (1,410; 909; 235 mg Eq CaCO3/L), magnesium (171; 91; 21 ppm) and sodium (64; 37; 29 ppm) for waters A, B, and C, respectively. Pigs were housed in an environmentally controlled, power ventilated, confinement nursery barn and were allowed ad libitum access to a common three-phase diet and water across all water treatments. Weekly ADG, ADFI, and G:F were measured and subjective scour score (1=solid feces to 4=liquid feces) was recorded daily through day 7. Data for pig growth performance were analyzed using PROC GLIMMIX with water quality as a fixed effect and pen served as the experimental unit. There were no differences among treatments in ADG, ADFI, and G:F (Table 1). Number of pigs treated with antibiotics throughout the experiment did not differ among treatments as determined by Chi-Square analysis. Average subjective scour score on day 7 of the experiment also did not differ among treatments. In conclusion, performance and health of nursery pigs as measured in this experiment were not influenced by the differing water qualities studied.

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