Results 11 to 20 of about 23,530,343 (331)

Data-mining chess databases [PDF]

, 2010
This is a report on the data-mining of two chess databases, the objective being to compare their sub-7-man content with perfect play as documented in Nalimov endgame tables. Van der Heijden’s ENDGAME STUDY DATABASE IV is a definitive collection of 76,132
Bleicher, Eiko, Haworth, Guy McCrossan, van der Heijden, Harold M J F   +2 more
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

Privacy Preserving Data Mining

Advances in Information Security, 2015
Recent interest in data collection and monitoring using data mining for security and business-related applications has raised privacy. Privacy Preserving Data Mining (PPDM) techniques require data modification to disinfect them from sensitive information
J. Vaidya, Yu Zhu, C. Clifton
semanticscholar   +1 more source

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 ...
A Bernstein, A Golbraikh, A Karalic, B Smith, B Smith, B Smith, C Silla, C Vens, D Demšar, D Kocev, D Kocev, D Qi, D Young, DJ Hand, F Serban, G Madjarov, G Tsoumakas, GH Bakir, H Mannila, HP Kriegel, I Slavkov, J Vanschoren, K Button, Larisa Soldatova, LN Soldatova, M Courtot, M Ford, M Žáková, MA Avery, MA Avery, MF López, O Spjuth, P Robinson, Panče Panov, Q Yang, R Caruana, R Guha, R Guha, RD King, RD King, RR Brinkman, Sašo Džeroski, T Dietterich, V Podpečan   +43 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

Re-mining item associations: methodology and a case study in apparel retailing [PDF]

, 2010
Association mining is the conventional data mining technique for analyzing market basket data and it reveals the positive and negative associations between items.
Atan, Tankut, Demiriz, Ayhan, Ertek, Gurdal, Ertek, Gürdal, Kula, Ufuk   +4 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

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

Prediction of Inbound and Outbound Passenger Flow in Urban Rail Transit Based on Spatio-Temporal Attention Residual Network

Applied Sciences, 2023
Passenger flow prediction is a critical approach to ensure the effective functioning of urban rail transit. However, there are few studies that combine multiple influencing factors for short-term passenger flow prediction.
Jun Yang, Xueru Dong, Huifan Yang, Xiao Han, Yan Wang, Jiayue Chen   +5 more
doaj   +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