Skip to main content

Data Mining and Knowledge Discovery

Ausgabe 1/2023

Inhalt (15 Artikel)

Open Access

Practical joint human-machine exploration of industrial time series using the matrix profile

Felix Nilsson, Mohamed-Rafik Bouguelia, Thorsteinn Rögnvaldsson

Category tree distance: a taxonomy-based transaction distance for web user analysis

Yinjia Zhang, Qinpei Zhao, Yang Shi, Jiangfeng Li, Weixiong Rao

Open Access

Large scale K-means clustering using GPUs

Mi Li, Eibe Frank, Bernhard Pfahringer

ContE: contextualized knowledge graph embedding for circular relations

Ting Ma, Mingming Li, Shangwen Lv, Fuqing Zhu, Longtao Huang, Songlin Hu

Open Access

ConvMOS: climate model output statistics with deep learning

Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho

Open Access

A methodology for refined evaluation of neural code completion approaches

Kim Tuyen Le, Gabriel Rashidi, Artur Andrzejak

Differentiated matching for individual and average treatment effect estimation

Zhao Ziyu, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu

Improving embedded knowledge graph multi-hop question answering by introducing relational chain reasoning

Weiqiang Jin, Biao Zhao, Hang Yu, Xi Tao, Ruiping Yin, Guizhong Liu

Sentiment analysis in tweets: an assessment study from classical to modern word representation models

Sérgio Barreto, Ricardo Moura, Jonnathan Carvalho, Aline Paes, Alexandre Plastino

Open Access

Hierarchical message-passing graph neural networks

Zhiqiang Zhong, Cheng-Te Li, Jun Pang

Open Access

Hybrid Bayesian network discovery with latent variables by scoring multiple interventions

Kiattikun Chobtham, Anthony C. Constantinou, Neville K. Kitson