scholarly journals Predicting B.Tech student admission decisions by data mining algorithms

2017 ◽  
Vol 7 (1.3) ◽  
pp. 90 ◽  
Author(s):  
Ravinder Ahuja ◽  
Archit Garg Garg ◽  
Daksh Jain ◽  
Deepanshu Sachdeva

In learning calculations affiliation govern mining is the most intense capacity in information mining. The age of principles includes two stages in which the primary stage finds the arrangements of continuous components and the second stage creates the run the show. Numerous calculations are determined to discover sets of incessant components from successive examples. In our exploration work an imperative perception is made in the information digging calculations for the informational index of the designing understudies. By discovering relationship between qualities, we can discover the potential outcomes for affirmation and anticipate understudy confirmation choices. To discover solid and substantial affiliation rules, distinctive measures are thought about lift, support, cost, confidence and conviction. The gauge is come to with the utilization of the imperative as needs be amid the age of the affiliation rules. As we move towards the objective, to give an examination the affiliation runs, the understudies who pick the branch have utilized the calculations specified to demonstrate the guidelines and the aftereffects of the affiliation in light of the past database of the records of confirmation.

2012 ◽  
Vol 27 (2) ◽  
pp. 187-219 ◽  
Author(s):  
Shu-Heng Chen ◽  
Chia-Ling Chang ◽  
Ye-Rong Du

AbstractThis paper reviews the development of agent-based (computational) economics (ACE) from an econometrics viewpoint. The review comprises three stages, characterizing the past, the present, and the future of this development. The first two stages can be interpreted as an attempt to build the econometric foundation of ACE, and, through that, enrich its empirical content. The second stage may then invoke a reverse reflection on the possible agent-based foundation of econometrics. While ACE modeling has been applied to different branches of economics, the one, and probably the only one, which is able to provide evidence of this three-stage development is finance or financial economics. We will, therefore, focus our review only on the literature of agent-based computational finance, or, more specifically, the agent-based modeling of financial markets.


INFERENSI ◽  
2013 ◽  
Vol 7 (2) ◽  
pp. 431
Author(s):  
Muh Juan Suam Toro ◽  
Hasim Hasim ◽  
M Amien Gunadi ◽  
Indah Piliyanti

This paper is part of research that aims to investigate whether Organisasi Pengelola Zakat (OPZ) or Zakat Management Organisations in Surakarta have the awareness to distribute zakat fund to the productive sector and to address the contribution that has been made in this sector by OPZ. This study also investigated the constraints faced by OPZ in distributing zakat to the productive sector. Using explorative approach, this study uses two stages of data collection. Results showed that the first stage, OPZ generally already have the awareness to channel to the productive sectors of the economy. Four OPZ as an informant in the second stage with in-depth interviews showed that each organization has a unique program in distributing zakat fund to the productive sector. The constraints of distribution to productive economic sectors are focus on institutions, inavailability of good distribution systems, and the lack of skilled human resource.


2012 ◽  
Vol 57 (4) ◽  
pp. 1239-1246 ◽  
Author(s):  
A. Gontarz ◽  
Z. Pater ◽  
K. Drozdowski

This paper presents the research results of hammer forging process of a plane wheel rim forging from titanium alloy Ti6Al4V. The research works were divided into two stages. The first concerned the theoretical analysis based on numerical simulations of the worked out forging technology. Distributions of temperature, strain, damage criterion according to Cockroft-Latham, material flow kinematics and force parameters were evaluated. It was stated that the danger of overheating and material cracking in the forging does not exist. Large force values present in the process means that problems with tools durability may appear. Satisfactory results of the theoretical analysis provided the basis for conducting the second stage of the research works, that is experimental tests in industrial conditions. After dies making forging tests were made in one Polish forging plants, in which a product of good quality was obtained. Manufactured forgings were free from cracks, shape faults and fulfilled requirements concerning mechanical properties.


Author(s):  
Corina Haita-Falah

AbstractThe experimental literature suggests that contributions to a public good made dynamically, over multiple stages are higher than contributions made in a static setting, even when players do not receive feedback about co-players’ previous contributions between stages. Because the dynamic setting without feedback is strategically equivalent to the static one, this finding is puzzling. One important difference between the two settings, however, is that the dynamic setting gives the opportunity to sink contributions while in the static one this opportunity does not exist. I test whether the sunk character of the dynamic contributions explains the higher contributions in the dynamic setting. Symmetric players contribute in two stages to a threshold public good and receive feedback after each stage. The experimental treatment differ in whether the first-stage contributions are sunk or not when deciding on the second-stage contributions. The results show that making the first-stage contributions sunk increases the second-stage individual contributions, and this is more so the case at higher levels of the first-stage contributions. This suggests that the sunk contributions do, at least partially, explain the better performance of the dynamic setting.


Author(s):  
Mariia A. Podlesnaia

In memory of the Russian sociologist I. A. Khaliy, known for her research in the field of civil society, environmental sociology, local communities, social movements and non-profit organisations, the article analyses the philosophy of populism, which was actively used by the sociologist in her research. The analysis is built in two stages. The first one is based on highlighting the main views of the populists and their subsequent criticism, with access to a number of areas that were affected by populist thought, such as man and his nature, the question of solidarity and signs of social life, the doctrine of human needs, methods and methodology of social sciences, philosophy of action as a research position. The second stage is a comparative analysis, as a result of which it is considered how the views of the populists were reflected in the work of I. A. Khaliy, what refraction and sound they acquired a century later from the point of view of practical application. The work is all the more interesting because it gives an idea of the philosophy of populism not as an obsolete phenomenon of the past, but as a phenomenon of the present, which turns out to be especially relevant in a situation of systemic crises and their assessment, including by intellectuals and representatives of the intelligentsia.


Elections are considered to be the most important feature of a democracy. In the past few years, election analysis and predictions have become very important for political parties and news organizations. The influx of various social media platforms such as twitter, Facebook and YouTube have drawn a large number of people that share their ideological and political thoughts and hence, it's become important to analyse them in a much more sophisticated manner. Various data mining algorithms have been used to extract tweets and perform sentiment analysis pertaining to a related topic. Sentiment analysis refers to the technique to identify positive, negative or neutral opinions from a text. Though the use of sentiment analysis we will analyse the sentiment score for the two main political parties of India. The paper will brief on various techniques that have been used for election predictions. Various results from different methods have been included in this paper along with precision, accuracy and validity of the final outcome. The main aim of this paper is to create a model for the better prediction that will help in the analysis of voting choices of users. To increase the validity of the final results, various refining techniques have been used so that only relevant tweets are analysed.


2007 ◽  
Vol 12 (1) ◽  
pp. 95-112
Author(s):  
R. Rudzkis ◽  
E. Mačiulaitytė

The aim of this article is to present a forecast of budget revenue from the profit tax using econometric models. The set of applied models has to be reduced to very simple models due to short time series used. Therefore, the profit tax regression analysis is made in two stages. In the first stage, econometric modelling of profit tax revenue with the main profit indicators (called the profit tax base) is performed on the basis of information on profit tax regulation and its changes. In the second stage, algorithms of forecasting the profit tax base are formed when the main macroeconomic indicators of Lithuanian economy are used as regressors. Crossvalidation was applied to estimate the accuracy of these algorithms.


Author(s):  
Diogo Machado ◽  
Rui Carvalho ◽  
Pedro Brandão

Diabetes is a chronic disease requiring a strict management. MyDiabetes is a mobile application for type I diabetes management that, as other mHealth applications, faces the challenge of user adherence and motivation. Here the authors describe the application's redesign and the implementation of different gamification techniques to tackle these challenges. The transition to the current version of the application was made in two stages. The first addressed the redesign of the application and started implementing gamification techniques. The second stage improved some of the features and added others. After the second stage, a new survey was conducted to evaluate the implemented features and improvements. While objectives and incentives to increase the number of records were endorsed by 56.5% of users, health directed badges and objectives increased the acceptance rate to 91.3%. Long-term effectiveness of the gamification approach will be done in the future.


2018 ◽  
Vol 5 (2) ◽  
pp. 73-86 ◽  
Author(s):  
Nayem Rahman

Much of the research in data mining and knowledge discovery has focused on the development of efficient data mining algorithms. Researchers and practitioners have developed data mining techniques to solve diverse real-world data mining problems. But there is no single source that identifies which techniques solve what problems and how, the advantages and limitations, and real-life use-cases. Lately, identifying data mining techniques and corresponding problems that they solve has drawn significant attention. In this paper, the author describes the progress made in developing data mining techniques and then classify them in terms of data mining problems taxonomy to help assist practitioners in using appropriate data mining techniques that solve business problems. This will allow researchers to expand the body of knowledge in this discipline. This article proposes a data mining problems taxonomy based on data mining techniques being used. Prominent data mining problems include classification, optimization, prediction, partitioning, relationship, pattern matching, recommendation, ranking, sequential patterns and anomaly detection. The data mining techniques that are used to solve these data mining problems in general fall under top 10 data mining algorithms.


Author(s):  
Iryna Herasymiuk ◽  
Natalia Grinko ◽  
Bohdan Sumariuk

The origins of psychiatric care in Bukovina can be divided in two stages: the first stage - pre-scientific, the second stage - scientific or nosological. During the pre-scientific period of providing assistance to persons with mental disorders occurred in monasteries. They were regarded as possessed, that is, persons with demons. On the territory of modern Chernivtsi area there were several such monasteries where they could get help patients with mental disorders. Since the proclamation Bukovina is the crown land of the Austro-Hungarian Empire psychiatric care has changed. A psychiatric service was bornunderstanding what a mental disorder is. There was a transition to science interpretation and approach to psychiatric care. The purpose of the article was to cover the formation of the psychiatric service in Bukovina, the transformation of the approach to care for patients with mental disorders, from mysticism to the modern model. Scientific novelty is to analyze the history of psychiatry in Bukovina from the past to present and coverage of the main historical moments that gave impetus for the formation of true neuroscience. Methodological principles research: chronological and comparative-historical approach, systemic interdisciplinary analysis. Conclusions. History of origin psychiatric service in Bukovina experienced ups and downs that corresponded to the conditions of the time. The transformation of mental service has changed from the worldview and level of development of contemporary science. You can watch changes from mystification to the emergence of psychiatry as a real modern neuroscience with an evidence base and humane treatment of patients.


Sign in / Sign up

Export Citation Format

Share Document