Results 61 to 70 of about 9,620,800 (176)
Jurnal Teknologi Informasi dan Ilmu KomputerMeningkatnya minat belanja pelanggan toko retail online menimbulkan persaingan ketat antar retailer. Agar tetap unggul dan kompetitif, retailer perlu memahami karakteristik pelanggannya.
Dennis Alfa Imanuel, Ganjar Alfian
doaj +3 more sources
Allergy, EarlyView.Daily prospective symptom reports from participants in this multicentre observational study were compared to retrospective (last 12 months) reports based on ARIA clinical questionnaire. Retrospective reports substantially underestimated, and to a lesser extent overestimated, symptom frequency compared to e‐Diary prospective reports. Since retrospective
Stephanie Dramburg +56 more
wiley +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Syariah Financing Saving And Loan Cooperatives (KSPPS) is an Islamic financial institution aimed at people who are on the lower middle scale to lift the economy of small communities through microfinancing programs.
Ondra Eka Putra, Randy Permana
doaj +1 more source
Adaptive Sampling for BRDF Acquisition
Computer Graphics Forum, EarlyView.We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi +3 more
wiley +1 more source
, 2017 <p>Data mining is a combination technology for analyze a useful information from dataset using some technique such as classification, clustering, and etc. Clustering is one of the most used data mining technique these day.
Fhira Nhita
core +1 more source
Study of the Artificial Fish Swarm Algorithm for Hybrid Clustering [PDF]
International Journal Bioautomation, 2015 The basic Artificial Fish Swarm (AFS) Algorithm is a new type of an heuristic swarm intelligence algorithm, but it is difficult to optimize to get high precision due to the randomness of the artificial fish behavior, which belongs to the intelligence ...
Hongwei Zhao, Liwei Tian
doaj
Clustering All‐Cause Mortality Data: A Review
International Statistical Review, EarlyView.Summary Mortality data are relevant to demography, public health and actuarial science; such data are high‐dimensional, making broad patterns difficult to identify. Clustering is increasingly used to reveal such patterns, yet a review of its application to all‐cause mortality with a focus on country‐level data is lacking.
Pedro Menezes de Araújo +2 more
wiley +1 more source
Abstract A K-means-like Algorithm for K-medoids Clustering and Its Performance
, 2008 Clustering analysis is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. This paper proposes a new algorithm for K-medoids clustering which runs like the K-means algorithm and tests several ...
Jong-seok Lee +2 more
core
Profit analysis for RFM, LRFM and LRFMV models using K-Medoids algorithm.
, 2022 Profit analysis for RFM, LRFM and LRFMV models using K-Medoids algorithm.
Rezwana Mahfuza (14285061) +5 more
core +1 more source
A Comparative Analysis of K – Means And K – Medoids for Smartphone Clustering
Jurnal SisfokomThe rapid growth of the smartphone industry has increased market complexity, making objective segmentation more challenging. The objective of this study is to conduct a comparative evaluation of the K - Means and K - Medoids methods in grouping ...
M. Arif Fadillah +2 more
doaj +1 more source