我国矿业城市实现可持续发展的途径分析

详细分析我国矿业城市可持续发展所面临的社会、经济、资源和生态环境等问题，提出了我国矿业城市应树立可持续发展目标及其内涵，系统分析矿业城市可持续发展的结构和模式，结合我国矿业城市发展存在的主要问题，以矿业城市可持续发展理念为指导，提出我国矿业城市实现可持续发展的途径及其建议。     

Prediction of Undrained Sinkhole Collapse

Sinkholes are surface depressions or shafts resulting from the collapse of a submerged cavity in soil. The cavities that lead to sinkholes form as a result of underlying geology in limestone areas, or as a result of human activity such as mining or leakage from a sewer. The formation of sinkholes is often sudden and can lead to extensive damage and loss of life, especially in urban areas. Much of the literature on the subject of sinkhole formation is empirical in nature, often being associated with specific locations. This paper presents the results of a study, using numerical modeling, of the undrained stability of the submerged cavities that lead to sinkhole formation. Finite-element limit analysis techniques (using programs developed at the University of Newcastle) are used to obtain upper and lower bound values of a suitable load parameter, which bracket the exact solution. The results are compared to analytical solutions, both from literature and derived independently.     

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加强石油天然气工业的立法，是社会主义市场经济发展与油气勘查开采实践的需要。针对现行油气管理法规在矿种管理体制，相邻采矿权人关系，油气采矿人主体资格，解决采矿权纠纷等未明事项，运用法学理论进行了剖析；阐述了加强油气立法工作的必要性和紧迫性；并有针对性地提立法建议，以期引探讨和有关部门重视。     

Database Encoding and A New Algorithm for Association Rules Mining

This paper proposes a method to encode database. By this way, a record is denoted by only one binary number, so the size of the database is reduced sharply. If some known modified algorithms are used on the database encoded, the efficiency will be improved significantly. At the meantime, a new algorithm based on the proposed encoding method is introduced too. By using some properties of numbers, the itemsets of the database can be converted into numerical fields. Different from the Apriori, the new algorithm discovers the association rules from the largest frequent itemset at first, and then all subitemsets, which are also frequent, will be gotten without any calculation, and all the other small none-frequent itemsets that must be generated in the Apriori will be omitted, and the scan times of the database are also reduced. Test results show the new algorithm based on the encoding database has a lower complexity of time and space.     

关于统一冶金矿山采矿工序能耗指标的看法

对原有的冶金矿山设计和生产不同能耗指标，提出统一为一个指标体系的设想，并提出了指标体系的计算公式以及各系数的选取意见。     

Analysis and visualisation with host-based software – The features of STNAnaVist™

This article is based on experiences with data and text mining to gain information for strategic business decisions, using host-based analysis and visualisation (A/V), primarily in the field of patents. The potential advantages of host-based A/V are pointed out and the features of the first such A/V software, STN^®AnaVist™, are described in detail. Areas covered include the user interfaces, initial set of documents for A/V, data mining, text mining, reporting, and suggestions for further development.     

矿山抗采动农村楼房的试验研究

本文通过两栋不同加固方案的二层农村楼房抗采动现场试验结果的分析,对不同加固措施的作用机理、效果及其设置条件进行了研究探讨,并提出,在农村采动区兴建抗采动变形楼房,是解放村庄下压煤、节约耕地和降低加固费用的途径。     

Class normalization in centroid-based text categorization

Centroid-based categorization is one of the most popular algorithms in text classification. In this approach, normalization is an important factor to improve performance of a centroid-based classifier when documents in text collection have quite different sizes and/or the numbers of documents in classes are unbalanced. In the past, most researchers applied document normalization, e.g., document-length normalization, while some consider a simple kind of class normalization, so-called class-length normalization, to solve the unbalancedness problem. However, there is no intensive work that clarifies how these normalizations affect classification performance and whether there are any other useful normalizations. The purpose of this paper is three folds; (1) to investigate the effectiveness of document- and class-length normalizations on several data sets, (2) to evaluate a number of commonly used normalization functions and (3) to introduce a new type of class normalization, called term-length normalization, which exploits term distribution among documents in the class. The experimental results show that a classifier with weight-merge-normalize approach (class-length normalization) performs better than one with weight-normalize-merge approach (document-length normalization) for the data sets with unbalanced numbers of documents in classes, and is quite competitive for those with balanced numbers of documents. For normalization functions, the normalization based on term weighting performs better than the others on average. For term-length normalization, it is useful for improving classification accuracy. The combination of term- and class-length normalizations outperforms pure class-length normalization and pure term-length normalization as well as unnormalization with the gaps of 4.29%, 11.50%, 30.09%, respectively.     

GIS数据库中的数据挖掘

首先探讨了DM在GIS中应用的必要性和可能性,然后讨论了GIS数据库中的DM可以发现的知识类型、可以使用的方法,可以采用的DM系统原型,最后简单介绍了DM对GIS的贡献。     

文本索引词项相对权重计算方法与应用

文本索引词权重计算方法决定了文本分类的准确率。该文提出一种文本索引词项相对权重计算方法,即文本索引词项权重根据索引词项在该文本中的出现频率与在整个文本空间出现的平均频率之间的相对值进行计算。该方法能有效地提高索引词对文本内容识别的准确性。