Data clustering is one of the most studied data mining tasks. It aims, through various
methods, to discover previously unknown groups within the data sets. In the past years …

Person Re-Identification (ReID) across non-overlapping cameras is a challenging task, and
most works in prior art rely on supervised feature learning from a labeled dataset to match …

This paper uses data mining technology to analyze students' English scores. In view of the
influence of many factors on students' English performance, the analysis is realized by using …

大数据处理是近年来广受关注和研究的技术领域, 数据挖掘作为从大量数据中挖掘隐藏价值信息
的技术, 是处理大数据的有效工具. 本文主要从数据挖掘的角度对大数据处理算法的研究现状 …

Rural areas in Europe are at risk due to depopulation, failing generation renewal, and a
multitude of influences ranging from market-based, regulatory, to societal and climate …

With the continuous increase of data volume and data dimensions, it becomes more and
more difficult to improve the accuracy and interpretability of the algorithm only from the …

The revised simplex algorithm (RSA) is a typical algorithm for solving linear programming
problems. Many theoretical modifications have been done to make the algorithm more …

Clustering by synchronization (SynC) is a clustering method that is motivated by the natural
phenomena of synchronization and is based on the Kuramoto model. The idea is to …

Mutations in gene KCNJ11 encoding the Kir6. 2 subunit of the ATP-sensitive potassium
channel (KATP), a representative of a quite complex biosystem, may affect insulin release …

Millions of unsolicited medical inquiries are received by pharmaceutical companies every
year. It has been hypothesized that these inquiries represent a treasure trove of information …