Abstract: Land reclamation is one of the most serious problems in coal mining.Years of relevant research have produced a large number of historical literatures.Therefore, it is necessary to use data mining technology to process these historical literatures.Through encoding keywords of historical documents of land reclamation, constructing TF*IDF algorithm, spatial vector model and conducting cluster analysis, adopting Python for data mining, this paper, taking Xuzhou mining area as an example, carries out secondary development based on ArcGIS to display data mining results.Finally, the subsidence situation, reclamation technology, demonstration projects and other important historical information of Xuzhou mining area are obtained, and the difficulties of data redundancy, data conflict and authenticity identification of historical literature of land reclamation are overcome.The results show that the application of data mining technology not only makes up for the defects of manual sorting, but also can restore the historical "data chain", which can realize the knowledge discovery and integration of mining land reclamation and ecological reconstruction information, and provide data support for mining system restoration and comprehensive management.