Results 31 to 40 of about 23,785,135 (371)
Brief introduction of medical database and data mining technology in big data era
Data mining technology can search for potentially valuable knowledge from a large amount of data, mainly divided into data preparation and data mining, and expression and analysis of results.
Jin Yang +8 more
semanticscholar +1 more source
A Flame Detection Method Based on Novel Gradient Features
In this study, we present a novel approach to efficiently detect the flame in multiple scenes in an image. The method uses a set of parametric representation named as Gradient Features (GF), to learn the features of flame color changes in the image ...
Liping Zhu +5 more
doaj +1 more source
Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval
Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing ...
Min Zheng, Yangliao Geng, Qingyong Li
doaj +1 more source
On the Suitability of Genetic-Based Algorithms for Data Mining [PDF]
Data mining has as goal to extract knowledge from large databases. A database may be considered as a search space consisting of an enormous number of elements, and a mining algorithm as a search strategy.
A Freitas, R Elmasri
core +5 more sources
Information from social networks is currently being widely used in many application domains, although in the music recommendation area, its use is less common because of the limited availability of social data. However, most streaming platforms allow for
Diego Sánchez-Moreno +4 more
doaj +1 more source
An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels
Chest X-ray image classification suffers from the high inter-similarity in appearance that is vulnerable to noisy labels. The data-dependent and heteroscedastic characteristic label noise make chest X-ray image classification more challenging. To address
Qingji Guan, Qinrun Chen, Yaping Huang
doaj +1 more source
The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis [PDF]
Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of
De Bodt, Stefanie +4 more
core +2 more sources
Data Mining in Electronic Commerce
Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations.
Banks, David L., Said, Yasmin H.
core +1 more source
From data towards knowledge: Revealing the architecture of signaling systems by unifying knowledge mining and data mining of systematic perturbation data [PDF]
Genetic and pharmacological perturbation experiments, such as deleting a gene and monitoring gene expression responses, are powerful tools for studying cellular signal transduction pathways.
Cowart, Ashley +3 more
core +3 more sources
During the years of the Information Age, technological advances in the computers, satellites, data transfer, optics, and digital storage has led to the collection of an immense mass of data on everything from business to astronomy, counting on the power of digital computing to sort through the amalgam of information and generate meaning from the data ...
Drachen, Anders +4 more
openaire +3 more sources

