scholarly journals Globular Gaussian Essential Part in Meager Bayesian Knowledge Structure for Nonlinear Deterioration

2021 ◽  
pp. 60-67
Author(s):  
Arun J ◽  
Gokulakrishnan V
Keyword(s):  
Line Segment ◽  
Sampling Method ◽  
Local Density ◽  
Knowledge Structure ◽  
Sampling Techniques ◽  
Trajectory Similarity ◽  
Object Databases ◽  
Similarity Information ◽  
Moving Object Databases ◽  
Trajectory Segmentation

Moving Object Databases (MOD), although ubiquitous, still call for methods that will be able to understand, search, analyze, and browse their spatiotemporal content. In this paper, we propose a method for trajectory segmentation and sampling based on the representativeness of the (sub) trajectories in the MOD. In order to find the most representative sub trajectories, the following methodology is proposed. First, a novel global voting algorithm is performed, based on local density and trajectory similarity information. This method is applied for each segment of the trajectory, forming a local trajectory descriptor that represents line segment representativeness. The sequence of this descriptor over a trajectory gives the voting signal of the trajectory, where high values correspond to the most representative parts. Then, a novel segmentation algorithm is applied on this signal that automatically estimates the number of partitions and the partition borders, identifying homogenous partitions concerning their representativeness. Finally, a sampling method over the resulting segments yields the most representative sub trajectories in the MOD. Our experimental results in synthetic and real MOD verify the effectiveness of the proposed scheme, also in comparison with other sampling techniques.

scholarly journals A generic trajectory similarity operator in moving object databases

2017 ◽  
Vol 18 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Nehal Magdy ◽  
Mahmoud A. Sakr ◽  
Khaled El-Bahnasy
Keyword(s):  
Moving Object ◽  
Trajectory Similarity ◽  
Object Databases ◽  
Moving Object Databases

PENGARUH FAKTOR INTERNAL TERHADAP MINAT BERWIRAUSAHA MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS JAMBI

2019 ◽  
Vol 8 (1) ◽  
pp. 1-12
Author(s):  
Winda Syafitri ◽  
Dahmiri Dahmiri
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Sampling Method ◽  
Descriptive Analysis ◽  
Research Use ◽  
Sampling Techniques ◽  
Student Interest ◽  
Business Faculty ◽  
Internal Factors ◽  
Convenience Sampling

ABSTRAK The purpose of this research is to explain the effect of Internal Factors toward student interest in entrepreneurship on Economics and Business Faculty of Jambi University. Sampling techniques used on is Non-Probability Sampling with Convenience Sampling Method. The number of respondents is 100 consumers. Technique analysis for this research use descriptive analysis to describe the research variables and multiple regression analysis to find the effect between research variables using SPSS 20.0. This research revealed the significant effect of Internal Factors on Student Interest in entrepreneurship on Economics and business Faculty of Jambi University.   Keywords: Internal Factors, Interest in Entrepreneurship

Analysis and Evaluation of a Framework for Sampling Database in Recommenders

2018 ◽  
Vol 26 (1) ◽  
pp. 41-57 ◽  
Author(s):  
Hodjat Hamidi ◽  
Reza Mousavi
Keyword(s):  
Association Rules ◽  
Relational Database ◽  
Input Data ◽  
Sampling Method ◽  
Data Integrity ◽  
Sampling Techniques ◽  
System Efficiency ◽  
Production Environment ◽  
Analysis And Evaluation

In this paper the authors proposed a database sampling framework that aims to minimize the time necessary to produce a sample database. They argue that the performance of current relational database sampling techniques that maintain the data integrity of the sample database is low and a faster strategy needs to be devised. The sampling method targets the production environment of a system under development that generally consists of large amounts of data computationally costly to analyze. The results have been improved due to the fact that the authors have selected the users that they had more information about them and they have made the data table denser. Therefore, by increasing the data and making the rating more comprehensive for all the users they can help to produce the more and better association rules. The obtained results were not that much suitable for Jester dataset but with their proposed methods the authors have tried to improve the quantity and quality of the rules. These results indicate that the effectiveness of the system greatly depends on the input data and the applied dataset. In addition, if the user rates more number of the items the system efficiency will be more increased.

scholarly journals Pengaruh Harga Dan Kualitas Produk Terhadap Kepuasan Konsumen T-Mart Express Indonesia

2020 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Elizabeth Rahayu
Keyword(s):  
Customer Satisfaction ◽  
Product Quality ◽  
Quantitative Research ◽  
Sampling Method ◽  
Sampling Techniques ◽  
Probability Sampling ◽  
Purposive Sampling

Abstract The purpose of this research is to understand the influence of price and product quality of T-Mart Express Indonesia’s customer satisfaction. This research is a quantitative research by using the SPSS Statistic 22 with 112 respondent of the sample which is T-Mart Express Indonesia consumers in North  Jakarta who have bought the product three times or more by using non-probability sampling method and purposive sampling techniques. The measurement used was a questionnaire that was distributed through Google Form to the respondent. The result of hypothesis analysis shows that price and product quality significantly affect customer satisfaction. Implications and suggestions are explained in the article. Abstrak Tujuan dari penelitian ini adalah untuk memahami pengaruh harga dan kualitas produk terhadap kepuasan pelanggan T-Mart Express Indonesia. Penelitian ini adalah penelitian kuantitatif dengan menggunakan SPSS Statistic 22 dengan sampel sebanyak 112 responden yaitu konsumen T-Mart Express Indonesia di Jakarta Utara yang telah membeli produk tiga kali atau lebih dengan menggunakan metode non probability sampling dan teknik purposive sampling. Pengukuran yang digunakan adalah kuesioner yang dibagikan melalui Google Form kepada responden. Hasil analisis hipotesis menunjukkan bahwa harga dan kualitas produk berpengaruh signifikan terhadap kepuasan pelanggan. Implikasi dan saran dijelaskan pada artikel    

A Survey of Spatio-Temporal Data Warehousing

2010 ◽  
pp. 949-977
Author(s):  
Leticia Gómez ◽  
Bart Kuijpers ◽  
Bart Moelans ◽  
Alejandro Vaisman
Keyword(s):  
Moving Objects ◽  
Route Planning ◽  
Geographic Information ◽  
Moving Object ◽  
Attribute Data ◽  
Object Databases ◽  
Spatio Temporal ◽  
Eu Project ◽  
The University ◽  
Moving Object Databases

Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GIS-based Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as attribute data, but also in maps. Thus, vendors are increasingly integrating their products, leading to the concept of SOLAP (Spatial OLAP). Also, in the last years, and motivated by the explosive growth in the use of PDA devices, the field of moving object data has been receiving attention from the GIS community. However, not much has been done in providing moving object databases with OLAP functionality. In the first part of this article we survey the SOLAP literature. We then move to Spatio-Temporal OLAP, in particular addressing the problem of trajectory analysis. We finally provide an in-depth comparative analysis between two proposals introduced in the context of the GeoPKDD EU project: the Hermes-MDC system, and Piet, a proposal for SOLAP and moving objects, developed at the University of Buenos Aires, Argentina.

scholarly journals Pengaruh Profitabilitas, Capital Intensity, dan Ukuran Perusahaan Pada Tax Aggressive

2019 ◽  
pp. 594
Author(s):  
Ni Kadek Ari Adnyani ◽  
Ida Bagus Putra Astika
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Sampling Method ◽  
Capital Intensity ◽  
Sampling Techniques ◽  
Company Size ◽  
Tax Aggressiveness ◽  
Analysis Technique ◽  
Net Profit ◽  
Positive Effect

Tax aggressiveness in this study is proxied by Net Profit Margin (NPM) Index. The purpose of this study is to obtain empirical evidence regarding the effect of profitability, capital intensity, and firm size on tax aggressive. This research was conducted on property and real estate companies listed on the IDX for the period 2015-2017. Sampling uses non probability sampling techniques with purposive sampling method. 35 companies were selected as samples. The data analysis technique used is multiple linear regression. Based on the results of data analysis, it shows that the variables of profitability, capital intensity, and company size have a positive effect on tax aggressive

Comparison of three methods of sampling for endometrial cytology in the mare

2011 ◽  
Vol 39 (03) ◽  
pp. 171-175 ◽  
Author(s):  
D. Vaillancourt ◽  
F. Grand ◽  
M. Defontis
Keyword(s):  
Sampling Method ◽  
Practical Method ◽  
Sampling Techniques ◽  
Cotton Swab ◽  
Endometrial Cells ◽  
Ringer’S Solution ◽  
Significant Difference ◽  
Lactated Ringer's Solution ◽  
Low Volume ◽  
Endometrial Cytology

Summary Objective: This prospective study aims to compare three different sampling techniques for the collection of endometrial cytological specimens in the mare: the guarded culture swab, the uterine cytobrush and the low volume uterine flush. Material and methods: The study po - pulation consisted of six healthy Standardbred mares in dioestrus. In each mare an acute endometritis was induced by performing a lowvolume uterine flush 6 days after ovulation using a sterile isotonic solution (lactated Ringer's solution or ViGro™ Complete Flush Solution). Two days after initiating inflammation, samples were collected from each mare using the three compared techniques: the double guarded cotton swab, the uterine cytobrush and the low volume uterine flush. The cytological evaluation of the samples was based on following criteria: the quality and cellularity of the samples and the number of neu - trophils recovered. Results: The uterine cytobrush yielded slides of significantly (p = 0.02) better quality than the low volume uterine flush. There was no significant difference between the cytobrush and the double guarded swab technique for the quality. There was no difference between techniques in the number of endometrial cells (p = 0.55) and neutrophils recovered (p = 0.28). Conclusion and clinical relevance: Endometrial cytology is a practical method for the diagnosis of acute endometrial inflammation in the mare. Since no difference in the number of neutrophils was found between the three techniques, the choice of the sampling method should be based on other factors such as practicability, costs and disadvantages of each technique.

ASSIGNMENT QUERY AND ITS IMPLEMENTATION IN MOVING OBJECT DATABASES

2010 ◽  
Vol 09 (03) ◽  
pp. 349-372 ◽  
Author(s):  
ALİ R. KONAN ◽  
TAFLAN İ. GÜNDEM ◽  
MURAT E. KAYA
Keyword(s):  
Nearest Neighbor ◽  
Perfect Match ◽  
Moving Object ◽  
Location Based Services ◽  
Matching Problem ◽  
Total Cost ◽  
Wide Range ◽  
Weighted Bipartite Graph ◽  
Object Databases ◽  
Moving Object Databases

Moving object databases (MOD) are being used in a wide range of location-based services that are of growing interest in many application areas. In the literature, several query types such as nearest neighbor, reverse nearest neighbor, k-nearest neighbor, and proximity queries have been considered in MOD. In this paper, we propose a novel operator called the assignment operator as a query type for MOD. The assignment operator is an operator used in a query to solve the assignment problem (also known as the weighted bipartite graph-matching problem). Assignment operator finds a perfect match between two sets of objects in a manner that minimizes a total cost. For instance, a set of moving objects such as taxi cabs are assigned to a set of customers in a manner that minimizes the total cost of traveling for the taxis. A possible implementation of the assignment operator in MOD and its performance evaluation are given.

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