Results 11 to 20 of about 24,237,799 (300)

The contribution of data mining to information science [PDF]

, 2004
The information explosion is a serious challenge for current information institutions. On the other hand, data mining, which is the search for valuable information in large volumes of data, is one of the solutions to face this challenge.
Liu, X, Chen, SY
core   +6 more sources

Data mining for the analysis of content interaction in web-based learning and training systems [PDF]

, 2006
Data mining is based on the detection and extraction of knowledge from a database. Web usage mining is a special form of data mining to address behaviour in Web sites.
Pahl, Claus
core   +3 more sources

Ontology of core data mining entities [PDF]

, 2014
In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
Dzeroski, S, Soldatova, L, Panov, P
core   +1 more source

A Scheme for Quickly Simulating Extraterrestrial Solar Radiation over Complex Terrain on a Large Spatial-Temporal Span—A Case Study over the Entirety of China

Remote Sensing, 2022
Extraterrestrial solar radiation (ESR) is the essential basic background for solar radiation, which determines the occurrence of the weather and atmospheric phenomena.
Siwei Lin, Nan Chen, Qianqian Zhou, Tinmin Lin, Huange Li   +4 more
doaj   +1 more source

Weka: A machine learning workbench for data mining [PDF]

, 2005
The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data preprocessing tools. The basic way of interacting with these methods is by invoking them from the command line.
Pfahringer, Bernhard, Hall, Mark A., Kirkby, Richard Brendon, Holmes, Geoffrey, Witten, Ian H., Frank, Eibe   +5 more
core   +1 more source

Semi-Supervised Learning Based on Generative Adversarial Network and Its Applied to Lithology Recognition

IEEE Access, 2019
Lithology recognition is an essential part of reservoir parameter prediction. Compared to conventional algorithms, deep learning that needs a large amount of training data as support can extract features automatically.
Guohe Li, Yinghan Qiao, Yifeng Zheng, Ying Li, Weijiang Wu   +4 more
doaj   +1 more source

Context-aware adaptive data stream mining [PDF]

, 2009
In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation,
Zaslavsky, Arkady, Haghighi, P., Krishnaswamy, S., Gaber, Mohamed,, Krishnaswamy, Shonali,, Gaber, M., Loke, Seng Wai,, Loke, S., Zaslavsky, A., Haghighi, Pari Delir,   +9 more
core   +1 more source

Crowd counting via Multi-Scale Adversarial Convolutional Neural Networks

Journal of Intelligent Systems, 2020
The purpose of crowd counting is to estimate the number of pedestrians in crowd images. Crowd counting or density estimation is an extremely challenging task in computer vision, due to large scale variations and dense scene.
Zhu Liping, Zhang Hong, Ali Sikandar, Yang Baoli, Li Chengyang   +4 more
doaj   +1 more source

Data Mining :  Opportunities and Challenges chapter 1: A Survey of Bayesian Data Mining

, 2003
Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining.
Arnborg, Stefan,
core   +9 more sources

Immersive cultural heritage digital documentation and information service for historical figure metaverse: a case of Zhu Xi, Song Dynasty, China

Heritage Science, 2022
Cultural heritage is closely linked with individual historical figures, who become a key focus for cultural tourism. Confucianism laid the foundation for much of Chinese civilization, and Confucius and Mencius have been studied extensively and have been ...
Zhanling Fan, Chongcheng Chen, Hongyu Huang   +2 more
doaj   +1 more source