Results 41 to 50 of about 402,340 (284)
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Privacy-preserving mining of association rules based on paillier encryption algorithm
网络与信息安全学报, 2016 In privacy preserving association rule mining, the precision and security of mining are always a pair of contradictions. A method of privacy-preserving mining of association rules based on paillier encryption algorithm over distributed databases was ...
Huan XING,Lin ZHANG
doaj +3 more sources
Genetic Based Method for Mining Association Rules [PDF]
Engineering and Technology Journal, 2013 In this paper genetic based method proposed for mining association rule, the benefit of this method it mining association rule in one step and it does not require the user-specified threshold of minimum support and minimum confidence deciding suitable ...
Bushra Khireibut Jassim
doaj +1 more source
FEBS Open Bio, EarlyView.5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley +1 more source
Introducing an algorithm for use to hide sensitive association rules through perturb technique [PDF]
Journal of Artificial Intelligence and Data Mining, 2016 Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules.
M. Sakenian Dehkordi, M. Naderi Dehkordi
doaj +1 more source
Penerapan Algoritma Eclat untuk Menemukan Pola Asosiasi Antar Barang di Aneka Sandang Collection
JRST: Jurnal Riset Sains dan Teknologi, 2023 Aneka Sandang Collection merupakan usaha yang menjual berbagai macam pakaian. Pencatatan transaksi masih dilakukan secara manual yang mengakibatkan banyaknya tumupukan nota transaksi. Kendala lain dalam mencari barang karena toko terbagi menjadi beberapa
Lisna Zahrotun, Al Fath Imam Robbani
doaj +1 more source
Advanced Engineering Materials, EarlyView.The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin +2 more
wiley +1 more source
DATA MINING IN RELATIONAL SYSTEMS
Сучасний стан наукових досліджень та технологій в промисловості, 2020 The subject of the research is methods of relational database mining. The purpose of the research is to develop scientifically grounded models for supporting intelligent technologies for integrating and managing information resources of distributed ...
Valentin Filatov +2 more
doaj +1 more source
Fuzzy Association Rule Mining [PDF]
Journal of Computer Science, 2015 The paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods.
A. Lekha, C. V. Srikrishna, Viji Vinod
openaire +1 more source
, 2017 We present theoretical analysis and a suite of tests and procedures for addressing a broad class of redundant and misleading association rules we call \emph{specious rules}.
Hämäläinen, Wilhelmiina +1 more
core +1 more source