scholarly journals Plithogenic set for multi-variable data analysis

2020 ◽  
pp. 81-89
Author(s):  
Prem Kumar Singh ◽  
Keyword(s):  
Data Analysis ◽  
Mathematical Analysis ◽  
Current Paper ◽  
Data Sets ◽  
Research Communities ◽  
Variable Data ◽  
Precise Representation ◽  
The Given ◽  
Sports Data

The m-polar and multi-dimensional data sets given a platform to deal with multi--valued attributes. In this case, a problem addressed that sometimes the attributes may contain many types of opposites, non--opposites and neutrals values as for example Rainbow. One of the best examples is sports data sets where each time the value of an attribute changes several time towards the given team, the opposition of the given team as well as draw conditions. The precise representation of these types of data sets and their mathematical analysis are crucial tasks for the research communities. The current paper tried to develop new mathematical set theories for precise representation and analysis of sports data via plithogenic set and its mathematical algebra.

Anti-Geometry and NeutroGeometry Characterization of Non-Euclidean Data

2021 ◽  
pp. 24-33
Author(s):  
Prem Kumar Singh ◽  
Keyword(s):  
Euclidean Geometry ◽  
Current Paper ◽  
Data Sets ◽  
Knowledge Processing ◽  
Non Euclidean Geometry ◽  
Precise Representation

Recently, a problem is addressed while dealing with fourth dimensional or non-Euclidean data sets. These are the data sets does not follow one of the postulates established by Euclid specially the parallel postulates. In this case, the precise representation of these data sets is major issues for knowledge processing tasks. Hence, the current paper tried to introduce some non-Euclidean geometry or Anti-Geometry methods and its examples for various applications.

Dark data analysis using Intuitionistic Plithogenic graphs

2021 ◽  
pp. 80-100
Author(s):  
Prem Kumar Singh ◽  
Keyword(s):  
Data Analysis ◽  
Decision Process ◽  
Mathematical Representation ◽  
Data Sets ◽  
Current Time ◽  
Graphical Visualization ◽  
Precise Analysis ◽  
Sports Data

The precise analysis of uncertainty in given data sets and its mathematical representation is considered as one of the major issues at current time. The problem become more complex when the data sets contains several mutliattributes and its non-opposite sides. One of the suitable examples is cricket or sports data sets which create conflict among the experts in case of multi-decision process. The problem arises when the expert want to chategorize the performance of players based on its acceptation and rejection regions considering the contradiction. To deal with these types of data which contains human intuition in true and false regions intuitionistic Plithogenic set and its graphical visualization is introduced in this paper with an illustrative examples.

DTI data analysis: application of fiber tracking to group averaged data sets

2010 ◽  
Vol 41 (01) ◽  
Author(s):  
HP Müller ◽  
A Unrath ◽  
A Riecker ◽  
AC Ludolph ◽  
J Kassubek
Keyword(s):  
Data Analysis ◽  
Fiber Tracking ◽  
Data Sets ◽  
Analysis Application

scholarly journals A novel optimal multi-pattern matching method with wildcards for DNA sequence

2021 ◽  
Vol 29 ◽  
pp. 115-124
Author(s):  
Xinlu Wang ◽  
Ahmed A.F. Saif ◽  
Dayou Liu ◽  
Yungang Zhu ◽  
Jon Atli Benediktsson
Keyword(s):  
Dna Sequence ◽  
Pattern Matching ◽  
Health Informatics ◽  
State Of The Art ◽  
Machine Language ◽  
Data Sets ◽  
Fundamental Issue ◽  
Matching Method ◽  
Dna Sequence Alignment ◽  
The Given

BACKGROUND: DNA sequence alignment is one of the most fundamental and important operation to identify which gene family may contain this sequence, pattern matching for DNA sequence has been a fundamental issue in biomedical engineering, biotechnology and health informatics. OBJECTIVE: To solve this problem, this study proposes an optimal multi pattern matching with wildcards for DNA sequence. METHODS: This proposed method packs the patterns and a sliding window of texts, and the window slides along the given packed text, matching against stored packed patterns. RESULTS: Three data sets are used to test the performance of the proposed algorithm, and the algorithm was seen to be more efficient than the competitors because its operation is close to machine language. CONCLUSIONS: Theoretical analysis and experimental results both demonstrate that the proposed method outperforms the state-of-the-art methods and is especially effective for the DNA sequence.

scholarly journals A multilevel approach to big data analysis using analytic tools and actor network theory

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Tiko Iyamu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Network Theory ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Actor Network Theory ◽  
Big Data Analysis ◽  
Data Sets ◽  
Multilevel Approach ◽  
Actor Network

Background: Over the years, big data analytics has been statically carried out in a programmed way, which does not allow for translation of data sets from a subjective perspective. This approach affects an understanding of why and how data sets manifest themselves into various forms in the way that they do. This has a negative impact on the accuracy, redundancy and usefulness of data sets, which in turn affects the value of operations and the competitive effectiveness of an organisation. Also, the current single approach lacks a detailed examination of data sets, which big data deserve in order to improve purposefulness and usefulness.Objective: The purpose of this study was to propose a multilevel approach to big data analysis. This includes examining how a sociotechnical theory, the actor network theory (ANT), can be complementarily used with analytic tools for big data analysis.Method: In the study, the qualitative methods were employed from the interpretivist approach perspective.Results: From the findings, a framework that offers big data analytics at two levels, micro- (strategic) and macro- (operational) levels, was developed. Based on the framework, a model was developed, which can be used to guide the analysis of heterogeneous data sets that exist within networks.Conclusion: The multilevel approach ensures a fully detailed analysis, which is intended to increase accuracy, reduce redundancy and put the manipulation and manifestation of data sets into perspectives for improved organisations’ competitiveness.

scholarly journals ReactomeFIViz: the Reactome FI Cytoscape app for pathway and network-based data analysis

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 146 ◽  
Author(s):  
Guanming Wu ◽  
Eric Dawson ◽  
Adrian Duong ◽  
Robin Haw ◽  
Lincoln Stein
Keyword(s):  
Experimental Data ◽  
Data Analysis ◽  
Graphical Models ◽  
High Throughput ◽  
Interaction Network ◽  
Large Data ◽  
Relevant Information ◽  
Data Sets ◽  
Data Types ◽  
Biological Studies

High-throughput experiments are routinely performed in modern biological studies. However, extracting meaningful results from massive experimental data sets is a challenging task for biologists. Projecting data onto pathway and network contexts is a powerful way to unravel patterns embedded in seemingly scattered large data sets and assist knowledge discovery related to cancer and other complex diseases. We have developed a Cytoscape app called “ReactomeFIViz”, which utilizes a highly reliable gene functional interaction network and human curated pathways from Reactome and other pathway databases. This app provides a suite of features to assist biologists in performing pathway- and network-based data analysis in a biologically intuitive and user-friendly way. Biologists can use this app to uncover network and pathway patterns related to their studies, search for gene signatures from gene expression data sets, reveal pathways significantly enriched by genes in a list, and integrate multiple genomic data types into a pathway context using probabilistic graphical models. We believe our app will give researchers substantial power to analyze intrinsically noisy high-throughput experimental data to find biologically relevant information.

scholarly journals Pengaruh Pemberian Buah Pisang Mas Terhadap Peningkatan Kadar Hb Pada Ibu Hamil Trimester III

2019 ◽  
Vol 5 (2) ◽  
pp. 50-54
Author(s):  
Elsa Kumala Safitri ◽  
Miftahul Mualimah ◽  
Herliana Riska
Keyword(s):  
Data Analysis ◽  
Pregnant Women ◽  
Blood Cells ◽  
Research Method ◽  
Observation Data ◽  
Banana Fruit ◽  
Signed Rank ◽  
Before And After ◽  
Protein Rich ◽  
The Given

Hemoglobin is a protein-rich substance bezi, Have affinity (power team) against oxygen and with oxygen it forms a oxihemoglobin in red blood cells. The goal in this research is to know the influence of banana fruit mas to increased hemoglobin on pregnant women trimester III in BPM Ny "B" Ngasem Regency Kediri Year 2017. In this research method using alphabets experiment and approach Pre alphabets experiment with Purposive Sampling. This research was conducted in BPM Ny "B" Ngasem Regency Kediri Year 2017. Instruments in use are sheets of observation, data analysis with the iji Wlcoxon Signed Rank. Results of research of banana fruit mas on pregnant women this trimester III that the magnitude of the value of ρ is less than the value of 0.000 α = 0.05 (0.000 < 0.05) so that H0 is rejected and the H1 is accepted means there is influence of hemoglobin levels before and after the given bananas mas against peningktan the levels of haemoglobin in pregnant women Trimester III in BPM Ny. " B “ Ngasem Regency Kediri year 2017. With this expected to consume fruit banana mas on pregnant women may help lower III trimester anemia with practical.

scholarly journals QUALITY OF LIFE DITINJAU DARI SPIRITUAL WELL-BEING PADA MAHASISWA KEPENDETAAN DI SEKOLAH TINGGI THEOLOGIA INJILI INDONESIA MEDAN-SUMATERA UTARA

2019 ◽  
Vol 6 (1) ◽  
pp. 21-27
Author(s):  
Delviana Buulolo
Keyword(s):  
Quality Of Life ◽  
Data Analysis ◽  
Positive Relationship ◽  
Well Being ◽  
Theological Seminary ◽  
Normality Test ◽  
Spiritual Well Being ◽  
Linearity Test ◽  
The Given

This study aims to find out relationship between quality of life and spiritual well-being. The hypothesis proposed in this study states that there is a positive relationship between quality of life and spiritual well-being, assuming that the higher is spiritual well-being, the higher quality of life will be and conversely the lower is the spiritual well-being, the lower will the quality of life be. The subjects of this study were 80 student on on the evangelical theological seminary of Indonesia Medan. Data were obtained from a scale to measure quality of life and spiritual well-being. The calculation was performed by testing requirements analysis (assumption test), which consisting of normality test and linearity test. Data analysis was performed by using Product Moment Correlation Analysis through SPSS 18 for Windows. The results of data analysis showed that  r = 0.405 and p = 0.000 (p < 0.05), which indicates that there is a positive relationship between quality of life and spiritual well-being. The results indicate that the contribution of the given variable, quality of life and spiritual well-being is 16.4 percent, while the remaining 83.6 percent is influenced by other factors not examined in this study. From these results, it is concluded that the hypothesis stating that there is a positive relationship between quality of life and spiritual well-being.

scholarly journals Analysis of Airport Operational Performance in Selected Airports of Northern Nigeria

2021 ◽  
Vol 12 (1) ◽  
pp. 111-122
Author(s):  
Obioma R. Nwaogbe ◽  
Akorede Ibrahim Ayinla ◽  
Victor Omoke ◽  
Joel A. Ojekunle ◽  
Hauwa Wokili-Yakubu
Keyword(s):  
Data Analysis ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Analysis Data ◽  
Operational Performance ◽  
Northern Nigeria ◽  
Frontier Analysis ◽  
Technical Performance ◽  
Unit Costs ◽  
The Given

Abstract This study focuses on the overall airport operational performance of selected airports in Northern Nigeria using the stochastic Frontier Analysis (SFA) model. STATA version 7 software was used for the data analysis. Data collected from the Federal Airport Authority of Nigeria (FAAN) from all the selected airports from 2001 to 2018 included both domestic and international passengers in the given area. The study focused on measuring the operational performance of all selected airports; its results show that none of the airports under review showed 100% level of productivity benchmark. The study recommended that the airports in the given area can improve their technical performance by reducing the unit costs as well as some other inputs to increase efficiency.

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