Mining similar sequences and similar trends in time-series databases is a novel and important problem in data mining literature.
时间序列数据库中相似序列与相似趋势的挖掘，是数据挖掘领域的一个较新的重要问题。
By mining this data, scholars are able to shed new light onto many things we've long assumed about literature, language and culture.
通过挖掘这些数据，学者们可以对很多我们长期假设的事情作出新的诠释，如文学、语言以及文化。
Alexeyevich is not in the formal history of the historical literature to describe the history, but from the personal experience, confidential archives and from the forgotten, the negative data mining.
阿列克谢耶维奇并非按照正式的历史文献来描述历史，而是从个人经历、机密档案以及从被忘却、被否定的资料中挖掘。
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