scholarly journals ANALISA POLA PEMINJAMAN BUKU DI PERPUSTAKAAN UNTUK MENGATUR TATA LETAK BUKU MENGGUNAKAN ALGORITMA FP-GROWTH

2021 ◽  
Vol 6 (1) ◽  
pp. 27-35
Author(s):  
Hasna Rasyidah
Keyword(s):  
Data Mining ◽  
Testing Tools

Perpustakaan merupakan suatu tempat yang menyediakan berbagai referensi dan informasi. Berbagai buku sampai majalah telah di sediakan. Dalam hal ini, tata letak buku di suatu perpustakaan merupakan hal yang penting untuk diperhatikan. Penelitian ini bertujuan untuk menemukan buku-buku apa saja yang mungkin akan dipinjam secara bersamaan oleh pengunjung. Dengan menggunakan algoritma FP-Growth pada metode aturan asosiasi data mining, pihak manajemen perpustakaan dapat mengambil keputusan untuk mengatur tata letak buku dengan melihat pola yang akan terbentuk. Data yang digunakan untuk penelitian ini adalah data transaksi perpustakaan untuk bulan Januari – Mei 2019 dengan jumlah 5026 data. Untuk penelitian kali ini, penulis menggunakan seluruh data untuk dilakukan testing. Tools yang digunakan untuk melakukan pengolahan data ini adalah RapidMiner dengan atribut yang mencakup tanggal transaksi, ID Number, Genre Buku. Berdasarkan analisis data ini, semua aturan yang dihasilkan memiliki nilai rasio diatas 1.00 sehingga data sudah akurat dan dapat digunakan untuk referensi pengaturan tata letak buku di Perpustakaan.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Heart Rate Variability, Emotions, and Music

2010 ◽  
Vol 24 (2) ◽  
pp. 112-119 ◽  
Author(s):  
F. Riganello ◽  
A. Candelieri ◽  
M. Quintieri ◽  
G. Dolce
Keyword(s):  
Data Mining ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Vegetative State ◽  
Low Frequency ◽  
Emotional Reactions ◽  
Heart Beat ◽  
Healthy Controls ◽  
Frequency Spectra ◽  
Emotional Value

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects’ HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients’ subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness.

Approach to constructing software unit testing tools

1995 ◽  
Vol 10 (6) ◽  
pp. 245 ◽  
Author(s):  
Gang Luo ◽  
Robert L. Probert ◽  
Hasan Ural
Keyword(s):  
Unit Testing ◽  
Testing Tools

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

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