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A Survey on Heuristic Based Approach for Privacy Preserving in Data Mining
2017
International Journal of Scientific Research in Computer Sciences and Engineering
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When the data becomes massive in volume, many problems strike for security and privacy breach. ...
Such troubles prompted the advancement of Privacy Preserving Data Mining (PPDM) Techniques. Privacy Preserving has become an important issue in the development progress of Data Mining techniques. ...
There are many different approaches based in Privacy Preserving in Data Mining basically the techniques are divided into three major groups such as Heuristic based approach, Reconstruction based approach ...
doi:10.26438/ijsrcse/v5i5.2125
fatcat:r4wtxwedwjd2dirwsip7qhp3ea
Mapping Student's Performance Based on Data Mining Approach (A Case Study)
2015
Agriculture and Agricultural Science Procedia
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This paper focus on mapping students using K-mean Cluster algorithm to reveal the hidden pattern and classifying students based on their demographic (gender, origin, GPA, grade of certain courses), and ...
About 300 student's data is covered. ...
data of students in Indonesian Islamic University Department of Industrial Engineering class of 2009, 2010 and 2011 consisted of gender, national origin, parental job, GPA, value optimization and grade ...
doi:10.1016/j.aaspro.2015.01.034
fatcat:hjnaofkfxvhnnnf2d6c54t6vii
A Toolbox Approach to Flexible and Efficient Data Mining
[chapter]
2001
Lecture Notes in Computer Science
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This paper describes a flexible and efficient toolbox based on the scripting language Python, capable of handling common tasks in data mining. ...
Our toolbox provides a number of routines for basic data mining tasks on top of which the user can add more functions -mainly domain and data collection dependent -for complex and time consuming data mining ...
Peter Christen was funded by grants from the Swiss National Science Foundation (SNF) and the Novartis Stiftung, Switzerland; and Tatiana Semenova is funded by a ARC SPIRT grant with the Australian Health ...
doi:10.1007/3-540-45357-1_16
fatcat:v3u3byilnfas3cwwi2zaew4bga
Human Gait Indicators of Carrying a Concealed Firearm : A Skeletal Tracking and Data Mining Approach
2018
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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A simulation of persons walking while carrying a concealed firearm and when unarmed was recorded using Kinect V2 depth camera. ...
There has been an increase in crimes involving illegal firearms in the last couple of years. Previous studies have found that most illegal firearms are carried in a concealed manner. ...
For instance, a study by [10] used the skeletal data to determine gender, studies by [11] , [12] , [13] , [14] used the data for activity recognition, a study by [15] used skeletal joint data ...
doi:10.32628/cseit1838106
fatcat:bpwfdgqgcrgnffhltanbilwswq
Privacy-preserving data mining: A feature set partitioning approach
2010
Information Sciences
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In privacy-preserving data mining (PPDM), a widely used method for achieving data mining goals while preserving privacy is based on k-anonymity. ...
In this paper we propose a different approach for achieving k-anonymity by partitioning the original dataset into several projections such that each one of them adheres to k-anonymity. ...
He has been a most helpful assistant in proofreading and improving the manuscript. ...
doi:10.1016/j.ins.2010.03.011
fatcat:lkyq2ufvbvbaxmqwjn7w63dl2a
Mining Health Examination Records—A Graph-Based Approach
2016
IEEE Transactions on Knowledge and Data Engineering
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The fundamental challenge of learning a classification model for risk prediction lies in the unlabeled data that constitutes the majority of the collected dataset. ...
In this paper, we propose a graph-based, semi-supervised learning algorithm called SHG-Health (Semi-supervised Heterogeneous Graph on Health) for risk predictions to classify a progressively developing ...
ACKNOWLEDGMENTS This study is based on data from the Taipei City Public Health Database provided by the Department of Health, Taipei City Government, and managed by Databank for Public Health Analysis ...
doi:10.1109/tkde.2016.2561278
fatcat:gfkywi4vgrgotleac5nfpdtrzu
A Systematic Review of Deep Learning Approaches to Educational Data Mining
2019
Complexity
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Educational Data Mining (EDM) is a research field that focuses on the application of data mining, machine learning, and statistical methods to detect patterns in large collections of educational data. ...
Different machine learning techniques have been applied in this field over the years, but it has been recently that Deep Learning has gained increasing attention in the educational domain. ...
Data Mining
1
Journal of Engineering and Applied Sciences
1
Journal of Educational Computing Research
1
Canada
United States
of America
Argentina
Serbia
China
India
Bangladesh
Singapore ...
doi:10.1155/2019/1306039
fatcat:dhrisvjatbhgnn77otztfjwgvi
A Hybrid RBF-SVM Ensemble Approach for Data Mining Applications
2014
International Journal of Intelligent Systems and Applications
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A Classifier ensemble is designed using a Radial Basis Function (RBF) and Support Vector Machine (SVM ) as base classifiers. ...
The proposed RBF-SVM hybrid system is superior to individual approach for intrusion detection, direct market ing, and signature verification in terms of classification accuracy. ...
Acknowledgment Author gratefully acknowledges the authorities of Annamalai University for the facilit ies offered and encouragement to carry out this work. ...
doi:10.5815/ijisa.2014.03.09
fatcat:ubfny3yuencnxg6mg4x7wgn6n4
A Proposed Secured Prediction System for Human Diseases Using a Genetic Algorithm Approach to Data Mining
2018
Zenodo
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This detection will enable him to have an appropriate treatment in time.In the health sector Data Mining techniques can be used to play a major role to detect a disease. ...
The aim of the proposed system is to predict human diseases by using Association Rule Mining Algorithm name Apriori and generating optimized association rules using a Genetic Algorithm. ...
Data Mining or knowledge discovery has come out into view, as one of the most progressive areas in Communication Engineering, Information Technology and Biomedical Science. ...
doi:10.5281/zenodo.1494963
fatcat:3d3kv74ljfcahoir2nwdpf3hpi
Pattern Discovery in Students' Evaluations of Professors: A Statistical Data Mining Approach
[article]
2015
arXiv
pre-print
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We explore various aspects of the data from both the supervised and unsupervised learning perspective. The data set analyzed in this paper was collected from a university in Turkey. ...
In this paper, we attempt to answer questions such as these using some state of the art statistical data mining techniques such support vector machines, classification and regression trees, boosting, random ...
Jiang, and L. Golab (2014). Data mining of undergraduate course evaluations. In
Proceedings of the 7th International Conference on Educational Data Mining, pp. 347–348. ...
arXiv:1501.02263v1
fatcat:32t27l62uzbzfmkrsa4dj5kayq
A Comparison of Educational Statistics and Data Mining Approaches to Identify Characteristics that Impact Online Learning
2015
Zenodo
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This challenge has prompted considerable research in the field of educational data mining and learning analytics. This work advances such research in four ways. ...
Overall, this work suggests a combined approach that improves the identification of salient variables in big data and also improves the design of LO tracking systems for learning management systems. ...
Kruger et al. (2010) use a similar approach to automate and alleviate the preprocessing needed to mine the data. ...
doi:10.5281/zenodo.3554731
fatcat:3jeky5x6ijdxbo63mupkyvv4he
Comparison of Learning Analytics and Educational Data Mining: A Topic Modeling Approach
2021
Computers and Education: Artificial Intelligence
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A B S T R A C T Educational data mining and learning analytics, although experiencing an upsurge in exploration and use, continue to elude precise definition; the two terms are often interchangeably used ...
We infer five-topic models for both educational data mining and learning analytics. ...
Research in Learning Analytics
and Educational Data Mining to
Measure Self-Regulated
Learning: a Systematic Review
ElSayed et al. ...
doi:10.1016/j.caeai.2021.100016
fatcat:6pxwyg4adrddjho6wn4nct2p24
A PROPOSED MINING APPROACH BASED ON BUSINESS INTELLIGENCE BY USING DATA SCIENCES TECHNIQUES
2021
International Journal of Intelligent Computing and Information Sciences
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Large amounts of data originating in different formats and from different sources can be consolidated and converted to key business knowledge. ...
Data mining is used to search for patterns and correlations within a database of information. ...
With the fast development of networking, data storage, and the data collection capacity, Big Data is now rapidly expanding in all science and engineering domains, including physical, biological and biomedical ...
doi:10.21608/ijicis.2021.57633.1052
fatcat:d32etmrbtrhsdh6uv5fkypzxui
Gender differences in approaches to self-management of poor sleep in later life
2013
Social Science and Medicine
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In this paper we seek to understand the influence of gender on the different approaches to managing poor sleep by older men and women through the conceptual framework of existing theoretical debates on ...
However, older men and women engaged differently with the healthicization of poor sleep, with women far more likely than men to explore a range of alternative sleep remedies, such as herbal supplements ...
Following a description of the methods, the paper focuses particularly on gender differences among older people with poor sleep in relation to their approach to the use of prescribed medications, over ...
doi:10.1016/j.socscimed.2012.09.037
pmid:23141555
fatcat:7bk2di323zg5ndt6wnr7zlqdyi
A Data Mining Approach to Improve Re-Accessibility and Delivery of Learning Knowledge Objects
2014
Interdisciplinary Journal of e-Skills and Lifelong Learning
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He is a fellow of the Institution of Engineering and Technology (U.K), Sr. Member, International Association of Computer Science and Information Technology. ...
An individual learner has a different interpretation, relation, and response to learning material, which arise because of different aptitude, intelligence, age, gender, attitude, and motivation. ...
doi:10.28945/2074
fatcat:balg3klnkjhuxbsjjbb6rif4nu
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