Educational portal with data mining support based on modern technologies

2015 ◽  
Author(s):  
Vitaly Levashenko ◽  
Elena Zaitseva ◽  
Jozef Kostolny ◽  
Miroslav Kvassay
Keyword(s):  
Data Mining ◽  
Educational Portal ◽  
Modern Technologies

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

Role of Big Data Analytics in Cellular Network Design

2015 ◽  
pp. 110-116
Author(s):  
Pushpa Mannava
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Network Design ◽  
Cellular Network ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Innovative Methods ◽  
Modern Technologies ◽  
Cellular Network Design

Big Data is an arising idea that describes innovative methods and also modern technologies to assess big volume of complicated datasets that are greatly created from numerous sources and with numerous prices. Data mining strategies are offering terrific aid in the location of Big Data analytics, considering that handling Big Data allow challenges for the applications. Big Data analytics is the capability of removing helpful information from such significant datasets. This paper provides an overview of big data analytics.

scholarly journals Theoretical Principles of Implementation and Use of Modern Technologies of Intellectual Data Analysis in Economy

2020 ◽  
Vol 25 (1) ◽  
pp. 27-32
Author(s):  
Alexandr Burlakov ◽  
◽  
Irina Mushenyk ◽  
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Theoretical Calculations ◽  
Synthetic Data ◽  
Practical Significance ◽  
Mining System ◽  
Research Results ◽  
Theoretical Substantiation ◽  
Business Entities ◽  
Modern Technologies

Abstract. The aim of the article is to study the theoretical foundations of the introduction and use of modern technologies of data mining in the economy of Ukraine. Research methodology. The theoretical and methodological basis of the article were the works of leading foreign and domestic scientists on the evaluation of the effectiveness of the implementation and use of data mining technologies. Achieving this goal was carried out using the following scientific techniques and research methods: monographic (in reviewing and studying the literature on evaluating the effectiveness of data mining technologies), analysis and synthesis (for research and generalization of research results); logical-theoretical and dialectical (to form the conclusions of the study). In the process of research, the substantiation of theoretical calculations and conclusions was carried out on the basis of system-functional and structural approaches to the analysis of information flows and control systems of data mining technologies. The information base of the study is articles and monographs, including those posted on web pages. Results of the research. The theoretical bases of functioning of modern technologies of data mining in the information economy are systematized, and also questions of the basic directions of application of the Data Mining system are analyzed, namely as a mass product for business applications and as a tool for unique researches. Scientific novelty of research results. It consists in the theoretical substantiation of possibilities of introduction and application of modern technologies of intellectual analysis, in various branches of economy, as effective tools of providing the timely information for the management of business entities on the basis of which it is possible to make qualitative administrative decisions. The practical significance of the research results. The obtained results can be used for further prospective research of information systems of economic entities, which are created on the basis of modern data mining systems, as well as in the implementation of computerization tools for analytical and synthetic data processing of information systems in the enterprise. Keywords: information system; data mining; information technology; data mining.

scholarly journals Modern Technologies of Inclusive Higher Education

2019 ◽  
Vol 28 (6) ◽  
pp. 138-148
Author(s):  
I. A. Kuvshinova ◽  
E. L. Mitsan ◽  
E. M. Razumova ◽  
E. I. Shuleva
Keyword(s):  
Student Performance ◽  
Inclusive Education ◽  
Effective Means ◽  
Educational Institutions ◽  
Special Educational Needs ◽  
State Technical ◽  
Modern Education ◽  
Educational Portal ◽  
Modern Technologies

Inclusive educational space is an essential part of modern education. Many higher educational institutions are faced with a lack of professional skills in this area. The article aims at presenting the technologies of inclusive education implemented at G.I. Nosov Moscow State Technical University. A team of scientific and pedagogical workers applies innovative inclusive technologies for training students with special educational needs majoring in psychological and pedagogical education. The applied classroom methods such as association method, training work, including role games and art-therapy and others, enable to present the material in special educational form which is easy for perception, to develop motor activity, as well as team skills and creativity.The article dwells on an experience of using educational portal and electronic educational resources, which should be viewed as an effective means of improving the quality of educational activities in inclusive educational space.The authors present the results of an empirical study for the assessment of the quality of student performance depending on their attendance of the educational portal.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

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