Results 51 to 60 of about 21,934,771 (354)

Using Apriori with WEKA for Frequent Pattern Mining [PDF]

International Journal of Engineering Trends and Technology (IJETT), V12(3), 127-131, June 2014, 2014
Knowledge exploration from the large set of data,generated as a result of the various data processing activities due to data mining only. Frequent Pattern Mining is a very important undertaking in data mining. Apriori approach applied to generate frequent item set generally espouse candidate generation and pruning techniques for the satisfaction of the
arxiv   +1 more source

Adenosine A3 receptor antagonists as anti‐tumor treatment in human prostate cancer: an in vitro study

FEBS Open Bio, EarlyView.
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli, Andrea Spinaci, Cui Chang, Rosaria Volpini, Catia Lambertucci, Matteo Landriscina, Vincenza Conteduca, Consuelo Amantini, Cristina Aguzzi, Laura Zeppa, Martina Giangrossi, Laura Soverchia, Matteo Santoni, Massimo Nabissi, Giorgio Santoni, Carlo Polidori   +15 more
wiley   +1 more source

Classifying protein-protein interaction articles from biomedical literature using many relevant features and context-free grammar

Journal of King Saud University: Computer and Information Sciences, 2020
Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar, Gurusamy Murugesan, Jeyakumar Natarajan   +2 more
doaj  

The benefits of data mining

eLife, 2017
Careful analysis of a database populated by physicians and patients sheds new light on the side effects of drugs.
Keith A. Houck, Audrey J. Bone
openaire   +4 more sources

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

A Bayesian network approach to the study of historical epidemiological databases: modelling meningitis outbreaks in the Niger

Bulletin of the World Health Organization, 2012
OBJECTIVE: To develop a tool for evaluating the risk that an outbreak of meningitis will occur in a particular district of the Niger after outbreaks have been reported in other, specified districts of the country.
A Beresniak, E Bertherat, W Perea, G Soga, R Souley, D Dupont, S Hugonnet   +6 more
doaj   +1 more source

Proceedings of Symposium on Data Mining Applications 2014 [PDF]

arXiv, 2020
The Symposium on Data Mining and Applications (SDMA 2014) is aimed to gather researchers and application developers from a wide range of data mining related areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization.
arxiv  

Pregnancy Outcomes of Targeted Synthetic Disease‐Modifying Antirheumatic Drugs Among Patients With Autoimmune Diseases: A Scoping Review

Arthritis Care &Research, EarlyView.
Objective Targeted synthetic disease‐modifying antirheumatic drugs (tsDMARDs) have expanded the management of autoimmune diseases, including rheumatic diseases. As the use of these drugs grows, it is important to understand their effects on pregnancy.
Vienna Cheng, Neda Amiri, Vicki Cheng, Ursula Ellis, Jacquelyn J. Cragg, Mark Harrison, Laurie Proulx, Mary A. De Vera   +7 more
wiley   +1 more source

Feature Selection for Regression Based on Gamma Test Nested Monte Carlo Tree Search

Entropy, 2021
This paper investigates the nested Monte Carlo tree search (NMCTS) for feature selection on regression tasks. NMCTS starts out with an empty subset and uses search results of lower nesting level simulation. Level 0 is based on random moves until the path
Ying Li, Guohe Li, Lingun Guo
doaj   +1 more source

Multi-source Data Mining for e-Learning [PDF]

7th International Symposium "From Data to Models and Back (DataMod)" 2018 Jun 25, 2020
Data mining is the task of discovering interesting, unexpected or valuable structures in large datasets and transforming them into an understandable structure for further use . Different approaches in the domain of data mining have been proposed, among which pattern mining is the most important one. Pattern mining mining involves extracting interesting
arxiv