Graphical Data Representation Methods To Assess the Quality of LC Columns

2015 ◽  
Vol 87 (17) ◽  
pp. 8593-8602 ◽  
Author(s):  
Gert Desmet ◽  
Deirdre Cabooter ◽  
Ken Broeckhoven
Keyword(s):  
Data Representation ◽  
Graphical Data

Impact of NPAs on Bank Profitability

2014 ◽  
pp. 399-409
Author(s):  
Saurabh Sen ◽  
Ruchi L. Sen
Keyword(s):  
Banking Sector ◽  
Focal Point ◽  
Negative Relationship ◽  
Banking System ◽  
Data Representation ◽  
Reform Era ◽  
Analytical Perspective ◽  
Observation Method ◽  
Representation Techniques

NPA is a “termite” for the banking sector. It affects liquidity and profitability of the bank to a great extent; in addition, it also poses a threat to the quality of asset and survival of banks. The post-reform era has changed the whole structure of the banking sector of India. Now, the economy is not confined to the domestic boundary of the country. The core intention of economic reforms in India was to attract foreign investments and create a sound banking system. This chapter provides an empirical approach to the analysis of profitability indicators with a focal point on Non-Performing Assets (NPAs) of commercial banks in the Indian context. The chapter discusses NPA, factors contributing to NPA, magnitude, and consequences. By using an analytical perspective, the chapter observes that NPAs affected significantly the performance of the banks in the present scenario. On the other hand, factors like better credit culture, managing the risk, and business conditions led to lowering of NPAs. The empirical findings using observation method and statistical tools like correlation, regression, and data representation techniques identify that there is a negative relationship between profitability measure and NPAs.

Integration of Moodle and Electronic University Systems at BMSTU

2019 ◽  
pp. 418-429 ◽  
Author(s):  
Alexander Sergeevich Chernikov ◽  
Ravil Shamilievich Zagidullin ◽  
Alexander Alexandrovich Chibisov
Keyword(s):  
Data Representation ◽  
Educational Process ◽  
Administrative Control ◽  
University Systems ◽  
Administrative Information ◽  
Training Courses ◽  
Time Required ◽  
Teaching Learning ◽  
And Training

The free platform Moodle was integrated with protected University Administrative Information System Electronic University (UAIS EU) of Bauman Moscow State Technical University, which serves to support the administrative work for control of educational process. The following main problems were solved: creation of unified data representation in the two systems; creation of students' and training courses' databases in Moodle based on data from UAIS EU. As result unique software was developed, new quality of service was obtained, namely different sides of University activity such as teaching, learning, and administrative control of educational process were automated and joined together; the time required for information processing and administrative decision-making was reduced; the number of errors in the systems due to the influence of a human factor was reduced. The results obtained can be used to simplify the work of teachers and enhance the performance and operational efficiency of the administrative system at any university.

scholarly journals Graphic Data Representation in Anaesthesiological Journals: A Proposed Methodology for Assessment of Appropriateness

1997 ◽  
Vol 25 (6) ◽  
pp. 659-664 ◽  
Author(s):  
D. De Amici ◽  
C. Klersy ◽  
C. Tinelli
Keyword(s):  
Statistical Analysis ◽  
Data Representation ◽  
Data Presentation ◽  
Graphic Data ◽  
Italian Journal ◽  
Data Density ◽  
Density Index ◽  
Two Parameters ◽  
Quality Of Presentation

Few authors have addressed the topic of graphic data presentation. The purpose of our study was to combine several guidelines in order to evaluate three anaesthesiology journals listed in Index Medicus (Australian, American and Italian) in terms of the appropriateness and the quality of presentation of graphs. Our analysis was based on concepts expressed by Cox and Tufte. We calculated the optimization of the amount of information in each graph using two parameters: Data Density Index (DDI) and Data Ink Ratio (DIR). The correctness and clearness of each component of the graph (scale, title, axes, legends and abbreviations) was evaluated on the basis of a binary score. We analysed 300 exploratory plots, quantitative graphs and summaries of statistical analysis. About 50% of papers had more than three graphs. Mean scores were 3.22 for the Italian journal, 3.47 for the American journal and 3.82 for the Australian journal. Tufte parameters were calculated on 42 scatterplots: DDI was 5.4±13.9 and DIR was 0.7±0.1. The criteria applied in our study appear sufficiently sensitive to differentiate the quality of graphs.

An Inquiry into the Current Practice of Building Product Data Handling by Different Stakeholders in Austria

2016 ◽  
Vol 861 ◽  
pp. 547-555
Author(s):  
Melisa Čović ◽  
Ulrich Pont ◽  
Neda Ghiassi ◽  
Mahnameh Taheri ◽  
Rainer Bräuer ◽  
...  
Keyword(s):  
Current Practice ◽  
Product Information ◽  
Data Representation ◽  
Current Data ◽  
Opinion Leaders ◽  
Web Based ◽  
Product Data ◽  
Building Product ◽  
Data Provision

The timely availability and quality of building product information is critical prerequisite for a successful building delivery process. However, little is known about the processes by which stakeholders acquire and use such data. This contribution documents the results of recent relevant surveys, addressing the building product data processing by planers, clients, and the industry. Web questionnaires and interviews with opinion leaders were conducted. Altogether, over 100 participants provided pertinent insights regarding strengths and weaknesses of the current data representation practices. A comparison of the obtained data with that of an earlier study allows for the documentation of the evolutionary trends in web-based data provision. Most importantly, the results facilitate the formulation of strategies for a more effective presentation and distribution of building product data.

scholarly journals Collaborative Filtering Based on Bi-Relational Data Representation

2013 ◽  
Vol 38 (1) ◽  
pp. 67-83 ◽  
Author(s):  
Andrzej Szwabe ◽  
Pawel Misiorek ◽  
Michal Ciesielczyk ◽  
Czeslaw Jedrzejek
Keyword(s):  
Collaborative Filtering ◽  
Input Data ◽  
State Of The Art ◽  
User Profile ◽  
Data Representation ◽  
User Feedback ◽  
Behavioral Data ◽  
Input Matrix ◽  
Feedback Data

Abstract Widely-referenced approaches to collaborative filtering (CF) are based on the use of an input matrix that represents each user profile as a vector in a space of items and each item as a vector in a space of users. When the behavioral input data have the form of (userX, likes, itemY) and (userX, dislikes, itemY) triples one has to propose a representation of the user feedback data that is more suitable for the use of propositional data than the ordinary user-item ratings matrix. We propose to use an element-fact matrix, in which columns represent RDF-like behavioral data triples and rows represent users, items, and relations. By following such a triple-based approach to the bi-relational behavioral data representation we are able to improve the quality of collaborative filtering. One of the key findings of the research presented in this paper is that the proposed bi-relational behavioral data representation, while combined with reflective matrix processing, significantly outperforms state-of-the-art collaborative filtering methods based on the use of a ‘standard’ user-item matrix.

The Impact of the Mode of Data Representation for the Result Quality of the Detection and Filtering of Spam

2017 ◽  
pp. 150-168
Author(s):  
Reda Mohamed Hamou ◽  
Abdelmalek Amine ◽  
Moulay Tahar
Keyword(s):  
Unsupervised Learning ◽  
Probabilistic Model ◽  
Hybrid Algorithm ◽  
Data Representation ◽  
The Internet ◽  
The Matrix ◽  
N Gram ◽  
Sensitive Parameters ◽  
The Impact

Spam is now of phenomenal proportions since it represents a high percentage of total emails exchanged on the Internet. In the fight against spam, we are using this article to develop a hybrid algorithm based primarily on the probabilistic model in this case, Naïve Bayes, for weighting the terms of the matrix term -category and second place used an algorithm of unsupervised learning (K-means) to filter two classes, namely spam and ham (legitimate email). To determine the sensitive parameters that make up the classifications we are interested in studying the content of the messages by using a representation of messages using the n-gram words and characters independent of languages (because a message may be received in any language) to later decide what representation to use to get a good classification. We have chosen several metrics as evaluation to validate our results.

scholarly journals Opening and Reusing Transparent Peer Reviews with Automatic Article Annotation

Publications ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 13 ◽  
Author(s):  
Afshin Sadeghi ◽  
Sarven Capadisli ◽  
Johannes Wilm ◽  
Christoph Lange ◽  
Philipp Mayr
Keyword(s):  
Peer Review ◽  
Data Representation ◽  
Third Party ◽  
Tool Support ◽  
Scientific Publications ◽  
Peer Reviews ◽  
Fine Grained ◽  
Unstructured Text ◽  
Semantic Markup

An increasing number of scientific publications are created in open and transparent peer review models: a submission is published first, and then reviewers are invited, or a submission is reviewed in a closed environment but then these reviews are published with the final article, or combinations of these. Reasons for open peer review include giving better credit to reviewers, and enabling readers to better appraise the quality of a publication. In most cases, the full, unstructured text of an open review is published next to the full, unstructured text of the article reviewed. This approach prevents human readers from getting a quick impression of the quality of parts of an article, and it does not easily support secondary exploitation, e.g., for scientometrics on reviews. While document formats have been proposed for publishing structured articles including reviews, integrated tool support for entire open peer review workflows resulting in such documents is still scarce. We present AR-Annotator, the Automatic Article and Review Annotator which employs a semantic information model of an article and its reviews, using semantic markup and unique identifiers for all entities of interest. The fine-grained article structure is not only exposed to authors and reviewers but also preserved in the published version. We publish articles and their reviews in a Linked Data representation and thus maximise their reusability by third party applications. We demonstrate this reusability by running quality-related queries against the structured representation of articles and their reviews.

scholarly journals Enviromental data visualisation using Delaunay triangulation

2020 ◽  
Vol 17 ◽  
pp. 405-411
Author(s):  
Mateusz Nowosad
Keyword(s):  
Comparative Analysis ◽  
Delaunay Triangulation ◽  
Data Representation ◽  
Environmental Data ◽  
Data Visualisation ◽  
Graphical Data

Graphical data representation is very helpful when analyzing environmental data. It allows for discovering trends in data and analysis of phenomena occurring in the area. There are many possibilities to represent such values graphically. This article contains visualizations generated using Delauney triangulation to represent data on a map. Strengths and weaknesses, comparative analysis with another solution, performance, and usage suggestions will be presented.

scholarly journals Facilitating insights with a user adaptable dashboard, illustrated by airport connectivity data

2018 ◽  
Vol 1 ◽  
pp. 1-6
Author(s):  
Ieva Dobraja ◽  
Menno-Jan Kraak ◽  
Yuri Engelhardt
Keyword(s):  
Temporal Patterns ◽  
Data Representation ◽  
Data Exploration ◽  
Temporal Data ◽  
Movement Data ◽  
Graphical Data ◽  
Multiple Data ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Heterogeneous Multiscale

Since the movement data exist, there have been approaches to collect and analyze them to get insights. This kind of data is often heterogeneous, multiscale and multi-temporal. Those interested in spatio-temporal patterns of movement data do not gain insights from textual descriptions. Therefore, visualization is required. As spatio-temporal movement data can be complex because size and characteristics, it is even challenging to create an overview of it. Plotting all the data on the screen will not be the solution as it likely will result into cluttered images where no data exploration is possible. To ensure that users will receive the information they are interested in, it is important to provide a graphical data representation environment where exploration to gain insights are possible not only in the overall level but at sub-levels as well. A dashboard would be a solution the representation of heterogeneous spatio- temporal data. It provides an overview and helps to unravel the complexity of data by splitting data in multiple data representation views. The adaptability of dashboard will help to reveal the information which cannot be seen in the overview.

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