A semantic graph based approach on interest extraction from user generated texts in social media

Jose, Lijo M.; Rahamathulla, K.

doi:10.1109/sapience.2016.7684118

Search citation statements

Order By: Relevance

Paper Sections

Select...

Data Mining1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

2023

Publication Types

Select...

Article2

Other1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An overview of the data mining process as knowledge discovery in databases includes: the use of algorithms, statistical tools, and machine learning to extract previously unknown patterns [18]. Data mining supports the data analysis process by identifying clusters, detecting anomalies, discovering dependencies, and finding correlations [19].…”

Section: Data Miningmentioning

confidence: 99%

Timeliness Of Spp Payments At Smk Tritech Infomatika Using Naive Bayes Algorithm

Fakhri,

Sibuea,

Silalahi

2023

ENIGMA

View full text Add to dashboard Cite

SMK Tritech Informatika is one of the vocational schools located on Jalan Bhayangkara Medan. Smk Tritech plays an important role in education. However, many schools are late in financing their operations. So there are many problems related to school operational payments such as tuition payments. SPP payment is an important problem at Smk Tritech Infomatika because many of the students are late in paying SPP even though the payment deadline has been set. Therefore, it is necessary to evaluate the SPP payment. To overcome this problem, it is necessary to detect the factors that cause late tuition payments using data mining. The data mining technique used is classification with the Naive Bayes algorithm method.

show abstract

Section: Data Miningmentioning

confidence: 99%