Results 21 to 30 of about 22,816,084 (277)

COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment

Journal of Chemistry, 2021
The change of water quality can reflect the important indicators of ecological environment measurement. Sewage discharge is an important factor causing environmental pollution.
Lili Jiang, Liu Yang, Yang Huang, Yi Wu, Huixian Li, XiYan Shen, Meng Bi, Lin Hong, Yiting Yang, Zuping Ding, Wenjie Chen   +10 more
doaj   +1 more source

HMD-Net: A Vehicle Hazmat Marker Detection Benchmark

Entropy, 2022
Vehicles carrying hazardous material (hazmat) are severe threats to the safety of highway transportation, and a model that can automatically recognize hazmat markers installed or attached on vehicles is essential for intelligent management systems ...
Lei Jia, Jianzhu Wang, Tianyuan Wang, Xiaobao Li, Haomin Yu, Qingyong Li   +5 more
doaj   +1 more source

Data, text and web mining for business intelligence: a survey [PDF]

International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.3, No.2, March 2013, 2013
The Information and Communication Technologies revolution brought a digital world with huge amounts of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet.
arxiv   +1 more source

Data mining in radiology [PDF]

Indian Journal of Radiology and Imaging, 2014
AbstractData mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized
Amit Kharat, Vilas M Kulkarni, Amarjit Singh, Digish Shah   +3 more
openaire   +4 more sources

An Improved Slime Mold Algorithm and its Application for Optimal Operation of Cascade Hydropower Stations

IEEE Access, 2020
A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation ...
Trong-The Nguyen, Hong-Jiang Wang, Thi-Kien Dao, Jeng-Shyang Pan, Jian-Hua Liu, Shaowei Weng   +5 more
doaj   +1 more source

Fine Classification of UAV Urban Nighttime Light Images Based on Object-Oriented Approach

Sensors, 2023
Fine classification of urban nighttime lighting is a key prerequisite step for small-scale nighttime urban research. In order to fill the gap of high-resolution urban nighttime light image classification and recognition research, this paper is based on a
Daoquan Zhang, Deping Li, Liang Zhou, Jiejie Wu   +3 more
doaj   +1 more source

Journey from Data Mining to Web Mining to Big Data [PDF]

International Journal of Computer Trends and Technology (IJCTT) 10(1): 1-3, April 2014. Published by Seventh Sense Research Group, 2014
This paper describes the journey of big data starting from data mining to web mining to big data. It discusses each of this method in brief and also provides their applications. It states the importance of mining big data today using fast and novel approaches.
arxiv   +1 more source

Brief introduction of medical database and data mining technology in big data era

Journal of Evidence-Based Medicine, 2020
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, Yuan-jie Li, Qingqing Liu, Li Li, Aozi Feng, Tianyi Wang, Shuai Zheng, Anding Xu, Jun Lyu   +8 more
semanticscholar   +1 more source

Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval

Entropy, 2022
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

Efficient Analysis of Pattern and Association Rule Mining Approaches [PDF]

International Journal of Information Technology and Computer Science (IJITCS), vol.6, no.3, pp.70-81, 2014, 2014
The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules. Numerous efficient algorithms have been proposed to do the above processes. Frequent pattern mining
arxiv   +1 more source