Top data mining tools for the healthcare industry

Santos-Pereira, Judith; Gruenwald, Le; Bernardino, Jorge

doi:10.1016/j.jksuci.2021.06.002

Cited by 34 publications

(14 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It can be said that the term OLAP is a part of the broad category of business intelligence and for that it encompasses other technology like data mining. Data mining on the other hand can be explained as the machinery that basically turns the raw data into useful information with the careful analysis of the raw data that are provided [5]. There are some of the differences between the OLAP and data mining and those differences are as follows: in data mining multidimensional analysis is done whereas in the OLAP online analytical processing is done.…”

Section: Resultsmentioning

confidence: 99%

Developing Conception about Differences between OLAP And Data Mining

Gadicha¹,

Krishnan²

2022

TTIDMKD

View full text Add to dashboard Cite

The following study has been based on the concept of data mining and OLAP and the differences between these aspects. At the beginning, the procedures of data mining an OLAP have been served with a brief introduction. The discussion have focused on the section namely the introductory section, the methodology section, results section, discussion and the conclusion part. The results part has given a detailed account about in ways the data mining is different from the OLAP. Both the technology has been emplaced separates atha tthe finally into result section key difference has been analysis thoroughly. Data is a emerging technological tool that was going o be a revolutionary in the future technology sector but into the current the use of data mining is complex and it is difficult to make the most as the technology is costly as well sales expertise is available in the market. Due to this it can be said that the technology is at a developing stage and it needs further improvement. OLAP is the type of technological tool that is often used to make the process more and more convenient with the analysis of past data. Bothe the technology has its own significance and differences that has been given in the research study.

show abstract

Section: Resultsmentioning

confidence: 99%

Developing Conception about Differences between OLAP And Data Mining

Gadicha¹,

Krishnan²

2022

TTIDMKD

View full text Add to dashboard Cite

show abstract

“…Rapid Miner is created in an open center show. RapidMiner combines instruments and appropriateness to supply a user-friendly integration environment of the most up-to-date data mining procedures [27].…”

Section: Methodsmentioning

confidence: 99%

A data mining approach for classification of traffic violations types

Othman¹,

Foozy²,

Mostafa³

et al. 2021

Int. J. Adv. Intell. Informatics

View full text Add to dashboard Cite

Traffic summons, also known as traffic tickets, is a notice issued by a law enforcement official to a motorist, who is a person who drives a car, lorry, or bus, and a person who rides a motorcycle. This study is set to perform a comparative experiment to compare the performance of three classification algorithms (Naive Bayes, Gradient Boosted Trees, and Deep Learning algorithm) in classifying the traffic violation types. The performance of all the three classification models developed in this work is measured and compared. The results show that the Gradient Boosted Trees and Deep Learning algorithm have the best value in accuracy and recall but low precision. Naïve Bayes, on the other hand, has high recall since it is a picky classifier that only performs well in a dataset that is high in precision. This paper’s results could serve as baseline results for investigations related to the classification of traffic violation types. It is also helpful for authorities to strategize and plan ways to reduce traffic violations among road users by studying the most common traffic violation types in an area, whether a citation, a warning, or an ESERO (Electronic Safety Equipment Repair Order).

show abstract

“…Proses ekstraksi pengetahuan dari kumpulan data dibutuhkan sebuah sistem penyimpanan data yang dapat menghasilkan informasi berdasarkan histori dalam penggunaan sebuah sistem berbasis data mining [3]. Pada penilitian ini proses penggalian informasi berbasis data mining dilakukan menggunakan teknik klasifikasi seperti yang telah dilakukan oleh penelitian sebelumnya antara lain tema penelitian The 2021 WHO classification of tumors of the central nervous system: A summary oleh D. N. Louis (2021) [4], selanjutnya topik penelitian Cancer classification at the crossroads oleh Y. Qu (2020) melakukan klasifikasi pada kasus cancer.…”

Section: Pendahuluanunclassified

Implementasi Algoritma K-Nearest Neighbor Terhadap Penentuan Risiko Kredit Usaha Mikro Kecil Dan Menengah

Ida¹,

Baharuddin²,

Faisal³

et al. 2023

jimik

View full text Add to dashboard Cite

This research was carried out in the context of implementing the K-NN algorithm so that a source of information can be produced as a basis for supporting decisions on initial credit applications by customers so that they can help cooperative managers more as knowledge of the progress of credit proposals that are carried out at the Micro, Small and Medium Enterprise Cooperative Service Office ( SMEs) South Sulawesi Province. The K-Nearest Neighbor algorithm is used to classify objects based on attributes and training samples. Among them, from k objects, the k-Nearest Neighbor algorithm uses neighbor classification as the predicted value. The results show that the algorithm produces a classification with a faster calculation time based on the prediction of customer data resulting from the calculation.

show abstract

Top data mining tools for the healthcare industry

Cited by 34 publications

References 42 publications

Developing Conception about Differences between OLAP And Data Mining

Developing Conception about Differences between OLAP And Data Mining

A data mining approach for classification of traffic violations types

Implementasi Algoritma K-Nearest Neighbor Terhadap Penentuan Risiko Kredit Usaha Mikro Kecil Dan Menengah

Contact Info

Product

Resources

About