Paper Review On Data Mining, components, And Big Data

Al-Rifai, Sufyan Sabah; Shaban, Ali Muwafaq; Shihab, Muhmmad Shihab Muayad; Mustafa, A. F.; Alhalboosi, Hussein Ali; Shantaf, Ahmed Muhi

doi:10.1109/hora49412.2020.9152919

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Vanishree et.al elaborates various applications involved in data Mining [1]. S. S. Al-Rifai et.al list out various components exists in data mining applications [7]. E. S. Priya et.al done a survey about a basic descriptive overview about data mining.…”

Section: Literature Surveymentioning

confidence: 99%

Exploring Data Mining Applications and Techniques: A Comprehensive Research Survey

Vasumathy,

Agarwal,

Divyamrutha

et al. 2023

ijmst

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Every second, huge amount of data is generated and accumulated. This data could possibly be used in forecasting the future. Data mining uses this data and generates valuable information which can be transformed into relevant knowledge. Data mining is a technique of identifying outliers, behaviours, trends of patterns and relationship among huge datasets. It is hugely associated with the skill of decision making. The knowledge on a relevant subject will help in understanding future trends. This survey paper supplies the overview of data mining, the processes involved, the scope it can offer, its different techniques and multiple applications. Data mining is a great model of using data efficiently.

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Section: Literature Surveymentioning

confidence: 99%

Exploring Data Mining Applications and Techniques: A Comprehensive Research Survey

Vasumathy,

Agarwal,

Divyamrutha

et al. 2023

ijmst

View full text Add to dashboard Cite

show abstract

“…Data mining is a technique that aims to extract important information used for specific purposes [5]. For museum applications, data mining extracts information from data held by museums for various purposes improving its performance including to explore visitors' interest in museum collections [6] which can be used to provide recommendations for visitors about museum exhibition, predicting the level of museum visits in a certain period so as to prepare for events that can increase visitor interest [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A Survey of Data Mining Techniques for Smart Museum Applications

Puspasari

Ermatita

2021

Jurnal Informatika

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This research aims to find out what data mining techniques are effectively implemented in museums and what application trends are currently being used to improve museum performance towards modern museums based on intelligent system technology. The review was carried out on a number of articles found in journals and proceedings in the 2004-2020 period. It is found that the majority of data mining techniques are implemented in museum virtual guide applications, recommender systems, collection clustering and classification system, and visitor behaviour prediction application. Data classification, clustering, and prediction technique commonly used for museum application. Collections with historical and artistic value contain a lot of knowledge making data mining an important technique to be included in various applications in museums so that they can have an impact on the achievement of museum goals not only in the fields of education and culture but also economics and business.

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Comprehensive Assessment of Big Data in Recommendation Systems

Dongre

Agrawal

2022

IoT Based Control Networks and Intelligent Systems

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Paper Review On Data Mining, components, And Big Data

Cited by 7 publications

References 9 publications

Exploring Data Mining Applications and Techniques: A Comprehensive Research Survey

Exploring Data Mining Applications and Techniques: A Comprehensive Research Survey

A Survey of Data Mining Techniques for Smart Museum Applications

Comprehensive Assessment of Big Data in Recommendation Systems

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