(PDF) A Review: Data Mining Techniques and Its Applications
Full article: Paper Review On Data Mining, components, And Big Data
(PDF) A Review on Role of Data Mining Techniques in Enhancing
(PDF) Developments in Educational Data mining Introduction to Data
(PDF) Educational Data Mining: a Case Study
(PDF) Research on Web Data Mining
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(PDF) Data mining techniques and applications
Only those papers that were published in the area of data mining were focused on this research. Between 1995 and 2021, 34,011 works were discovered that were published in too many different ...
data mining Latest Research Papers
Epidemic diseases can be extremely dangerous with its hazarding influences. They may have negative effects on economies, businesses, environment, humans, and workforce. In this paper, some of the factors that are interrelated with COVID-19 pandemic have been examined using data mining methodologies and approaches.
Adaptations of data mining methodologies: a systematic literature
The main research objective of this article is to study how data mining methodologies are applied by researchers and practitioners. To this end, we use systematic literature review (SLR) as scientific method for two reasons. Firstly, systematic review is based on trustworthy, rigorous, and auditable methodology.
Knowledge Discovery: Methods from data mining and ...
In this paper, we first assess the contribution of data mining to theory innovation from an epistemological view and discuss the rise of big data and its implications. ... Approaches to data mining contribute to research issues in big data in several ways. Data mining provides automatic and semi-automatic data cleaning, compressing, and ...
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Data Mining and Knowledge Discovery is a leading technical journal focusing on the extraction of information from vast databases. Publishes original research papers and practice in data mining and knowledge discovery. Provides surveys and tutorials of important areas and techniques. Offers detailed descriptions of significant applications.
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Explore the latest full-text research PDFs, articles, conference papers, preprints and more on DATA MINING. Find methods information, sources, references or conduct a literature review on DATA MINING
Data Mining for the Internet of Things: Literature Review and
In this paper, we survey the data mining in 3 different views: knowledge view, technique view, and application view. In knowledge view, we review classification, clustering, association analysis, time series analysis, and outlier analysis. ... and data mining system area. Based on the survey of the current research, a suggested big data mining ...
Recent advances in domain-driven data mining
Data mining research has been significantly motivated by and benefited from real-world applications in novel domains. This special issue was proposed and edited to draw attention to domain-driven data mining and disseminate research in foundations, frameworks, and applications for data-driven and actionable knowledge discovery. Along with this special issue, we also organized a related ...
(PDF) Trends in data mining research: A two-decade review using topic
Address: 20, Myasnitskaya Street, Moscow 101000, Russia. Abstract. This work analyzes the intellectual structure of data mining as a scientific discipline. T o do this, we use. topic analysis ...
Statistical Analysis and Data Mining: The ASA Data Science Journal
JOURNAL METRICS >. Statistical Analysis and Data Mining: The ASA Data Science Journal addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel ...
A comprehensive survey of data mining
Data mining plays an important role in various human activities because it extracts the unknown useful patterns (or knowledge). Due to its capabilities, data mining become an essential task in large number of application domains such as banking, retail, medical, insurance, bioinformatics, etc. To take a holistic view of the research trends in the area of data mining, a comprehensive survey is ...
Recent Advances in Data Mining
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. ... Data mining is the procedure of ...
Methods and Applications of Data Mining in Business Domains
This Special Issue invited researchers to contribute original research in the field of data mining, particularly in its application to diverse domains, like healthcare, software development, logistics, and human resources. We were especially interested in how the data mining method was modified to cater to the specific domain in question.
Data mining
Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning ...
Data mining techniques and applications
This paper reviews data mining techniques and its applications such as educational data mining (EDM), finance, commerce, life sciences and medical etc. We group existing approaches to determine how the data mining can be used in different fields. Our categorization specifically focuses on the research that has been published over the period ...
Data Mining in Healthcare: Applying Strategic Intelligence Techniques
This paper: 1995-2020: A BPNA of data mining in healthcare: performance analysis, strategic themes, thematic evolution structure, trends and future opportunities using SciMAT software. ... Table 5 presents the most important WoS subject research fields of data mining in healthcare from 1995 to July 2020. Computer Science Artificial ...
Data Mining: Data Mining Concepts and Techniques
There are different process and techniques used to carry out data mining successfully. Published in: 2013 International Conference on Machine Intelligence and Research Advancement. Date of Conference: 21-23 December 2013. Date Added to IEEE Xplore: 09 October 2014. Electronic ISBN:978--7695-5013-8.
PDF A comprehensive survey of data mining
To take a holistic view of the research trends in the area of data mining, a comprehensive survey is presented in this paper. This paper presents a systematic and comprehensive survey of various data mining tasks and techniques. Further, various real-life applications of data mining are presented in this paper.
Review Paper on Data Mining Techniques and Applications
Abstract. Data mining is the process of extracting hidden and useful patterns and information from data. Data mining is a new technology that helps businesses to predict future trends and behaviors, allowing them to make proactive, knowledge driven decisions. The aim of this paper is to show the process of data mining and how it can help ...
(PDF) Data Mining Algorithms: An Overview
mining and the algorithms which are commonly used in data mining. 3. DATA MINING ALGORITHMS. A data mining algorithm is a set of heuristics and calculations that creates a data mining model from ...
A sample study on applying data mining research techniques in
The purpose of this research is to present a sample study analyzing data gathered from an educational study using data mining techniques appropriate for processing these data. In order to achieve this aim, a "Computer Self-efficiency Scale" used in educational sciences was selected and this scale was applied in a study group.
Paper Review On Data Mining, components, And Big Data
Recent progress in software and hardware has allowed different data measurements in a variety of fields to be captured. These measures are produced continuously at very fluctuating data rates. For example, network sensors, web logs and computer network traffic. Computer-intensive activities are the collection, query and removal of these data sets. Mining data sources include the recovery of ...
Data Mining Techniques in Analyzing Process Data: A Didactic
This study analyzed the process data in the log file from one of the 2012 PISA problem-solving items using data mining techniques. The data mining methods used, including CART, gradient boosting, random forest, SVM, SOM, and k-means, yielded satisfactory results with this dataset. The three major purposes of the current study were summarized as ...
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Only those papers that were published in the area of data mining were focused on this research. Between 1995 and 2021, 34,011 works were discovered that were published in too many different ...
Epidemic diseases can be extremely dangerous with its hazarding influences. They may have negative effects on economies, businesses, environment, humans, and workforce. In this paper, some of the factors that are interrelated with COVID-19 pandemic have been examined using data mining methodologies and approaches.
The main research objective of this article is to study how data mining methodologies are applied by researchers and practitioners. To this end, we use systematic literature review (SLR) as scientific method for two reasons. Firstly, systematic review is based on trustworthy, rigorous, and auditable methodology.
In this paper, we first assess the contribution of data mining to theory innovation from an epistemological view and discuss the rise of big data and its implications. ... Approaches to data mining contribute to research issues in big data in several ways. Data mining provides automatic and semi-automatic data cleaning, compressing, and ...
Data Mining and Knowledge Discovery is a leading technical journal focusing on the extraction of information from vast databases. Publishes original research papers and practice in data mining and knowledge discovery. Provides surveys and tutorials of important areas and techniques. Offers detailed descriptions of significant applications.
Explore the latest full-text research PDFs, articles, conference papers, preprints and more on DATA MINING. Find methods information, sources, references or conduct a literature review on DATA MINING
In this paper, we survey the data mining in 3 different views: knowledge view, technique view, and application view. In knowledge view, we review classification, clustering, association analysis, time series analysis, and outlier analysis. ... and data mining system area. Based on the survey of the current research, a suggested big data mining ...
Data mining research has been significantly motivated by and benefited from real-world applications in novel domains. This special issue was proposed and edited to draw attention to domain-driven data mining and disseminate research in foundations, frameworks, and applications for data-driven and actionable knowledge discovery. Along with this special issue, we also organized a related ...
Address: 20, Myasnitskaya Street, Moscow 101000, Russia. Abstract. This work analyzes the intellectual structure of data mining as a scientific discipline. T o do this, we use. topic analysis ...
JOURNAL METRICS >. Statistical Analysis and Data Mining: The ASA Data Science Journal addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets, solutions utilizing innovative data mining algorithms and/or novel ...
Data mining plays an important role in various human activities because it extracts the unknown useful patterns (or knowledge). Due to its capabilities, data mining become an essential task in large number of application domains such as banking, retail, medical, insurance, bioinformatics, etc. To take a holistic view of the research trends in the area of data mining, a comprehensive survey is ...
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications. ... Data mining is the procedure of ...
This Special Issue invited researchers to contribute original research in the field of data mining, particularly in its application to diverse domains, like healthcare, software development, logistics, and human resources. We were especially interested in how the data mining method was modified to cater to the specific domain in question.
Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning ...
This paper reviews data mining techniques and its applications such as educational data mining (EDM), finance, commerce, life sciences and medical etc. We group existing approaches to determine how the data mining can be used in different fields. Our categorization specifically focuses on the research that has been published over the period ...
This paper: 1995-2020: A BPNA of data mining in healthcare: performance analysis, strategic themes, thematic evolution structure, trends and future opportunities using SciMAT software. ... Table 5 presents the most important WoS subject research fields of data mining in healthcare from 1995 to July 2020. Computer Science Artificial ...
There are different process and techniques used to carry out data mining successfully. Published in: 2013 International Conference on Machine Intelligence and Research Advancement. Date of Conference: 21-23 December 2013. Date Added to IEEE Xplore: 09 October 2014. Electronic ISBN:978--7695-5013-8.
To take a holistic view of the research trends in the area of data mining, a comprehensive survey is presented in this paper. This paper presents a systematic and comprehensive survey of various data mining tasks and techniques. Further, various real-life applications of data mining are presented in this paper.
Abstract. Data mining is the process of extracting hidden and useful patterns and information from data. Data mining is a new technology that helps businesses to predict future trends and behaviors, allowing them to make proactive, knowledge driven decisions. The aim of this paper is to show the process of data mining and how it can help ...
mining and the algorithms which are commonly used in data mining. 3. DATA MINING ALGORITHMS. A data mining algorithm is a set of heuristics and calculations that creates a data mining model from ...
The purpose of this research is to present a sample study analyzing data gathered from an educational study using data mining techniques appropriate for processing these data. In order to achieve this aim, a "Computer Self-efficiency Scale" used in educational sciences was selected and this scale was applied in a study group.
Recent progress in software and hardware has allowed different data measurements in a variety of fields to be captured. These measures are produced continuously at very fluctuating data rates. For example, network sensors, web logs and computer network traffic. Computer-intensive activities are the collection, query and removal of these data sets. Mining data sources include the recovery of ...
This study analyzed the process data in the log file from one of the 2012 PISA problem-solving items using data mining techniques. The data mining methods used, including CART, gradient boosting, random forest, SVM, SOM, and k-means, yielded satisfactory results with this dataset. The three major purposes of the current study were summarized as ...