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(PDF) A Review of Data Mining Literature ResearchGate

A Review of Data Mining Literature. Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning, -- Scores of algorithms and

A systematic review of data mining and machine

2017-11-28  We conducted a systematic literature review on the application of data mining and machine learning methods in air pollution epidemiology. We carried out our search process in PubMed, the MEDLINE database and Google Scholar. Research articles applying data mining and machine learning methods to air pollution epidemiology were queried and reviewed.

A LITERATURE REVIEW ON DATAMINING IJRCAR

Data mining is an interdisciplinary field bringing together techniques from machine learning, pattern recognition, statistics, databases, and visualization to address the issue of information extraction from large data bases [6].The data that is used to extract patterns in data mining is called as training data.

A literature review of the current applications of

A systematic literature review is a formal literature review adopted to identify, evaluate, and synthesize evidences of empirical results in order to answer a research question. Performing a systematic literature review involves several discrete activities, which can be grouped into three main steps: planning, conducting the review and

A text mining-based review of the literature on

Design/methodology/approach. Using latent Dirichlet allocation as the text analysis algorithm, the author conducted a topic modeling of the dynamic capabilities corpus in the information systems field of research to quantitatively review, summarize and classify the prior literature.

Text mining in a literature review of urothelial cancer

2020-5-24  itional ways of literature review tend to be time-consuming and labor-intensive. Machine-learning-based literature mining may analyze large collections of docu-ments, identifies patterns in a dataset using statistical and computational methods, make predictions based on the discovered patterns, and minimizes human interven-tions.

Systematic literature review of machine learning based

2012-1-1  Systematic literature review of machine learning based software development effort estimation models. ML techniques and to use them more efficiently, researchers had better keep track of the related disciplines such as machine learning, data mining, statistics, and artificial intelligence, since these disciplines may provide valuable ideas

Prescriptive analytics: Literature review and research

2020-2-1  Machine learning/data mining. Machine Learning/Data Mining algorithms have been widely used in predictive analytics during the last years. However, their exploitation in the context of prescriptive analytics is rather scarce. We found that only one paper relies solely on machine learning and data mining algorithms (Revathy & Mukesh, 2018). The

(PDF) A Review on Heart Disease Prediction using

LITERATURE REVIEW . To overcome such problems prediction the occurrence of heart diseases using data mining techniques and machine learning algorithms are playing vital roles for automatic

REVIEW OF LITERATURE ON DATA MINING

2018-9-14  IJRRAS 10 (1) January 2012 Hilage & Kulkarni Review of Literature on Data Mining 109 customization is a substantial barrier to data integration, requiring considerable human effort to access each resource, understand the context and content of the

A Literature Review of Data Mining Techniques Used in

A Literature Review of Data Mining Techniques Used in Healthcare Databases Elma Kolçe (Çela) 1, Neki Frasheri 2 1,2 Department of Computer Engineering, Polytechnic University of Tirana, Albania 1 [email protected], 2 [email protected] Abstract. In this paper we present an overview of the current research being

Literature Review About Underground Coal Mining

Literature Review About Underground Coal Mining. The difference in amount of coal production in 2010 is 112 34283540 million tons. Assuming the difference comes from underground mining the EFs of underground mining and post underground mining is the mean of representative studies 8.48 m 3 t and 1.34 m 3 t respectively the inventory contribution of such coal output is 736.89 Gg

A systematic review of data mining and machine

2017-11-28  We conducted a systematic literature review on the application of data mining and machine learning methods in air pollution epidemiology. We carried out our search process in PubMed, the MEDLINE database and Google Scholar. Research articles applying data mining and machine learning methods to air pollution epidemiology were queried and reviewed.

Literature Review Impact Of Mining Activities On Forests

For the present literature review, a more refined matrix was devised in order to address the . linkages between primary activities such as agriculture, mining and forestry. (amongst others), and both the short and long-term impact these activities can . forests in the

A text mining-based review of the literature on

Design/methodology/approach. Using latent Dirichlet allocation as the text analysis algorithm, the author conducted a topic modeling of the dynamic capabilities corpus in the information systems field of research to quantitatively review, summarize and classify the prior literature.

Data Mining for the Internet of Things: Literature

2015-8-30  Data mining enables the businesses to understand the patterns hidden inside past purchase transactions, thus helping in planning and launching new marketing campaigns in prompt and cost-effective way . e-commerce is one of the most prospective domains for data mining because data records, including customer data, product data, users’ action

[PDF] A Review on Data mining from Past to the

2021-2-11  and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information. Due to the importance of extracting knowledge/information from the large data repositories, data mining has become an essential component in various fields of

Literature mining, ontologies and information

Literature-based approaches and ontologies have been used in the past for the purpose of hypothesis generation in connection with drug discovery. Here, we review the application of literature mining and ontology modeling and traversal to the area of drug repurposing (DR).

Text mining in a literature review of urothelial cancer

2020-5-24  itional ways of literature review tend to be time-consuming and labor-intensive. Machine-learning-based literature mining may analyze large collections of docu-ments, identifies patterns in a dataset using statistical and computational methods, make predictions based on the discovered patterns, and minimizes human interven-tions.

REVIEW OF LITERATURE ON DATA MINING

2018-9-14  IJRRAS 10 (1) January 2012 Hilage & Kulkarni Review of Literature on Data Mining 109 customization is a substantial barrier to data integration, requiring considerable human effort to access each resource, understand the context and content of the

A Literature Review of Data Mining Techniques Used in

A Literature Review of Data Mining Techniques Used in Healthcare Databases Elma Kolçe (Çela) 1, Neki Frasheri 2 1,2 Department of Computer Engineering, Polytechnic University of Tirana, Albania 1 [email protected], 2 [email protected] Abstract. In this paper we present an overview of the current research being

Literature Review On Web Usage Mining Computer

Literature Review on Web Usage Mining. Web mining helps the web designers in discovering the knowledge from the information available in the web. Also it helps the users in getting the fast retrieval of the information they are looking for. Three major areas of web mining are

Text mining assisted review of the literature on Li-O2

Text mining assisted review of the literature on Li-O 2 batteries To cite this article: Amangeldi Torayev et al 2019 J. Phys. Mater. 2 044004 View the article online for updates and enhancements. Recent citations A Critical Review of Machine Learning of Energy Materials Chi Chen et al-

[PDF] A Review on Data mining from Past to the

2021-2-11  and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information. Due to the importance of extracting knowledge/information from the large data repositories, data mining has become an essential component in various fields of

Literature Review Impact Of Mining Activities On Forests

For the present literature review, a more refined matrix was devised in order to address the . linkages between primary activities such as agriculture, mining and forestry. (amongst others), and both the short and long-term impact these activities can . forests in the

An Assisted Literature Review using Machine Learning

2017-8-3  researchers in the manual process of building a literature review. This paper proposes an assisted literature review prototype based on machine learning models (MLM) to discover, rank and recommend the relevant papers. Using text and data mining models, MLM and a classification model, all of which learn from

Text mining in a literature review of urothelial cancer

2020-5-24  itional ways of literature review tend to be time-consuming and labor-intensive. Machine-learning-based literature mining may analyze large collections of docu-ments, identifies patterns in a dataset using statistical and computational methods, make predictions based on the discovered patterns, and minimizes human interven-tions.

literature review on sieving machine

literature review on rotary type seiving machine « Mining. May 02, 2013· What makes one machine type preferred over the other and under what . hydraulic presses, cassava dough disintegrators, sieving machines, grading machines, plate . have been on the hind side but were observed during the review

Sentiment Analysis using Svm: A Systematic Literature

2018-12-16  Learning and Hybrid) however, in-depth analysis and review of latest literature on sentiment analysis with SVM was still required. Some of the related studies on sentiment analysis are as follows. Authors in [9] conducted a systematic literature review regarding opinion mining from the reviews of mobile app store users.