"时间序列与聚类挖掘技术研究：数据挖掘在多领域的应用和前景展望"

"Recent advances in data mining and its applications have revolutionized various disciplines, including artificial intelligence, machine learning, database management, pattern recognition, bioinformatics, neural computing, and more. This has not only attracted the attention of scientists, but also garnered interest from governments and industries. Governments, industrial communities, and academic fields are increasingly recognizing the significance of data mining and its potential impact on various sectors. This trend highlights the growing importance of time series and cluster mining techniques in extracting valuable insights from large and complex datasets. By leveraging these technologies, researchers and practitioners are able to uncover patterns, trends, and relationships within data that can drive innovation, improve decision-making, and enhance overall performance in diverse fields. In this era of data-driven decision-making, the study of time series and cluster mining plays a critical role in advancing knowledge and driving progress across various domains."