(PDF) A Review: Data Mining Techniques and Its Applications
(PDF) Data Mining: An Overview
(PDF) Investigating of Data Mining with Big Data
Data Management: Data Warehousing and Data Mining Research Paper
(PDF) A review on Data Mining & Big Data Analytics
(PDF) A Study On Applications Of Data Mining
VIDEO
Data Mining Research Projects
Data mining research IN healthcare.pptx
Data Mining Project Data Report II
OTHM Level 7 Diploma in Data Science
Final Year Projects
Nomination of Process Mining Research at TU/e for ICT Regie Award
COMMENTS
data mining Latest Research Papers
Browse the latest data mining research papers published in various journals and sources. Find topics such as outlier detection, data warehouse, economic load dispatch, social media analytics, and COVID-19 cases.
(PDF) Data mining techniques and applications
PDF | Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining techniques, algorithms... | Find, read and cite all the research ...
Home
A technical journal that publishes original research papers and practice in data mining and knowledge discovery. Find the latest articles, special issues, impact factor, submission guidelines and more on the journal website.
345193 PDFs
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
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 ...
(PDF) Trends in data mining research: A two-decade review using topic
The research direction related to practical Applications of data mining also shows a tendency to grow. The last two topics, Text Mining and Data Streams have attracted steady interest from ...
Knowledge Discovery: Methods from data mining and machine learning
The interdisciplinary field of knowledge discovery and data mining emerged from a necessity of big data requiring new analytical methods beyond the traditional statistical approaches to discover new knowledge from the data mine. This emergent approach is a dialectic research process that is both deductive and inductive.
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 ...
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 ...
Data mining articles within Scientific Reports
Read the latest Research articles in Data mining from Scientific Reports. ... Identifying and overcoming COVID-19 vaccination impediments using Bayesian data mining techniques ... Calls for Papers ...
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 ...
Data mining in clinical big data: the frequently used databases, steps
To allow a clearer understanding of the application of data-mining technology on clinical big data, the second part of this paper introduced the concept of public databases and summarized those commonly used in medical research. ... Figure 1 shows a series of research concepts. The data-mining process is divided into several steps: (1) database ...
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.
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 ...
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.
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.
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 ...
Data Mining in Healthcare: Applying Strategic Intelligence Techniques
In order to identify the strategic topics and the thematic evolution structure of data mining applied to healthcare, in this paper, a bibliometric performance and network analysis (BPNA) was conducted. ... Table 5 presents the most important WoS subject research fields of data mining in healthcare from 1995 to July 2020. Computer Science ...
Data Mining Methods and Obstacles: A Comprehensive Analysis
Big data analytics: a li terature review paper. in Advances in Data Mining. Applications and Theo- Applications and Theo- retical Aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg ...
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 ...
PDF Data Mining in the Real World: Experiences, Challenges, and Recommendations
Abstract - Data mining is used regularly in a variety of in-dustries and is continuing to gain in both popularity and ac-ceptance. However, applying data mining methods to complex real-world tasks is far from straightforward and many pitfalls face data mining practitioners. However, most research in the field tends to focus on the algorithmic ...
(PDF) Data Mining and Big Data Analytics
This research paper seeks to provide an extensive exploration of the expansive landscape of data mining and big data analytics, encompassing their fundamental principles, diverse methodological ...
IEEE International Conference on Data Mining (ICDM)
Payment Options. View Purchased Documents. Profile Information. Communications Preferences. Profession and Education. Technical interests. Need Help? US & Canada: +1 800 678 4333. Worldwide: +1 732 981 0060.
Machine Learning and Data Mining
Nearest neighbor methods are not suitable when a description of the knowledge extracted from the data must be understandable by humans, which today is the case for many data mining applications (see Sect. 8.6). In recent years these memory-based learning methods are becoming popular, and various improved variants (for example locally weighted ...
IMAGES
VIDEO
COMMENTS
Browse the latest data mining research papers published in various journals and sources. Find topics such as outlier detection, data warehouse, economic load dispatch, social media analytics, and COVID-19 cases.
PDF | Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining techniques, algorithms... | Find, read and cite all the research ...
A technical journal that publishes original research papers and practice in data mining and knowledge discovery. Find the latest articles, special issues, impact factor, submission guidelines and more on the journal website.
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 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 ...
The research direction related to practical Applications of data mining also shows a tendency to grow. The last two topics, Text Mining and Data Streams have attracted steady interest from ...
The interdisciplinary field of knowledge discovery and data mining emerged from a necessity of big data requiring new analytical methods beyond the traditional statistical approaches to discover new knowledge from the data mine. This emergent approach is a dialectic research process that is both deductive and inductive.
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 ...
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 ...
Read the latest Research articles in Data mining from Scientific Reports. ... Identifying and overcoming COVID-19 vaccination impediments using Bayesian data mining techniques ... Calls for Papers ...
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 ...
To allow a clearer understanding of the application of data-mining technology on clinical big data, the second part of this paper introduced the concept of public databases and summarized those commonly used in medical research. ... Figure 1 shows a series of research concepts. The data-mining process is divided into several steps: (1) database ...
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.
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 ...
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.
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.
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 ...
In order to identify the strategic topics and the thematic evolution structure of data mining applied to healthcare, in this paper, a bibliometric performance and network analysis (BPNA) was conducted. ... Table 5 presents the most important WoS subject research fields of data mining in healthcare from 1995 to July 2020. Computer Science ...
Big data analytics: a li terature review paper. in Advances in Data Mining. Applications and Theo- Applications and Theo- retical Aspects: 14th Industrial Conference, ICDM 2014, St. Petersburg ...
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 ...
Abstract - Data mining is used regularly in a variety of in-dustries and is continuing to gain in both popularity and ac-ceptance. However, applying data mining methods to complex real-world tasks is far from straightforward and many pitfalls face data mining practitioners. However, most research in the field tends to focus on the algorithmic ...
This research paper seeks to provide an extensive exploration of the expansive landscape of data mining and big data analytics, encompassing their fundamental principles, diverse methodological ...
Payment Options. View Purchased Documents. Profile Information. Communications Preferences. Profession and Education. Technical interests. Need Help? US & Canada: +1 800 678 4333. Worldwide: +1 732 981 0060.
Nearest neighbor methods are not suitable when a description of the knowledge extracted from the data must be understandable by humans, which today is the case for many data mining applications (see Sect. 8.6). In recent years these memory-based learning methods are becoming popular, and various improved variants (for example locally weighted ...