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61.
The layer reexcavation ratio is proposed to use for determination of overburden thickness in the combined conveying and direct-dumping systems of mining by draglines with haulage to goaf. It is established that this method ensures the decrease in costs of mining the horizontal and flat-dipping deposits. 相似文献
62.
63.
云应盐矿区通过新旧盐井更替、改造井身结构、完善分采工艺等技术措施,提高了老采区的资源回收率,实现了对老采区的挖潜改造。 相似文献
64.
针对我国工程索赔经验少、索赔专家稀缺的实际情况,提出了一种基于Web的工程索赔决策支持系统,首先综合了数据仓库,联机分析处理,数据挖掘技术于一体的综合决策支持系统,给出了数据仓库、模型库和知识库的具体设计,最后对系统的实现作了简要的介绍,该系统的应用旨在建立一个功能强大的在线工程索赔支持平台,共享索赔专家丰富的知识和经验,帮助承包商完成复杂的索赔工作。 相似文献
65.
通过小规模爆破试验,用线性回归方法对块煤进行筛分分析,指出影响炮采工作面块煤率的因素是炸药性能、装药结构、爆破参数、起爆顺序、时间间隔等。 相似文献
66.
Clusters and grids of workstations provide available resources for data mining processes. To exploit these resources, new distributed algorithms are necessary, particularly concerning the way to distribute data and to use this partition. We present a clustering algorithm dubbed Progressive Clustering that provides an “intelligent” distribution of data on grids. The usefulness of this algorithm is shown for several distributed datamining tasks. 相似文献
67.
In this paper, we propose an efficient method for mining all frequent inter-transaction patterns. The method consists of two phases. First, we devise two data structures: a dat-list, which stores the item information used to find frequent inter-transaction patterns; and an ITP-tree, which stores the discovered frequent inter-transaction patterns. In the second phase, we apply an algorithm, called ITP-Miner (Inter-Transaction Patterns Miner), to mine all frequent inter-transaction patterns. By using the ITP-tree, the algorithm requires only one database scan and can localize joining, pruning, and support counting to a small number of dat-lists. The experiment results show that the ITP-Miner algorithm outperforms the FITI (First Intra Then Inter) algorithm by one order of magnitude. 相似文献
68.
V. K. Singh J. K. Singh A. Kumar 《Bulletin of Engineering Geology and the Environment》2005,64(3):301-306
The study was undertaken to determine the optimal overall slope angle of a lead–zinc mine, which could extend down to a depth
of 170 m. Detailed geotechnical investigations were conducted, including geotechnical mapping of existing benches to establish
the geometrical and mechanical properties of the discontinuities, the drilling of eight boreholes and the establishment of
the physico-mechanical properties of the intact rock. Based on these data, limit equilibrium and numerical simulation techniques
were applied to assess the stability of the slopes and determine an optimal slope angle. It was concluded that the overall
foot-wall and hanging-wall slopes should be 42 and 48° respectively.
相似文献
69.
GU Qiang ZHONG Rui JU Dong-ying 《中国有色金属学会会刊》2006,16(B02):572-576
Computer simulation for materials processing needs of materials. In order to employ the accumulated large data on a huge database containing a great deal of various physical properties materials heat treatment in the past years, it is significant to develop an intelligent database system. Based on the data mining technology for data analysis, an intelligent database web tool system of computer simulation for heat treatment process named as IndBASEweb-HT was built up. The architecture and the arithmetic of this system as well as its application were introduced. 相似文献
70.
We explore in this paper the efficient clustering of market-basket data. Different from those of the traditional data, the features of market-basket data are known to be of high dimensionality and sparsity. Without explicitly considering the presence of the taxonomy, most prior efforts on clustering market-basket data can be viewed as dealing with items in the leaf level of the taxonomy tree. Clustering transactions across different levels of the taxonomy is of great importance for marketing strategies as well as for the result representation of the clustering techniques for market-basket data. In view of the features of market-basket data, we devise in this paper a novel measurement, called the category-based adherence, and utilize this measurement to perform the clustering. With this category-based adherence measurement, we develop an efficient clustering algorithm, called algorithm k-todes, for market-basket data with the objective to minimize the category-based adherence. The distance of an item to a given cluster is defined as the number of links between this item and its nearest tode. The category-based adherence of a transaction to a cluster is then defined as the average distance of the items in this transaction to that cluster. A validation model based on information gain is also devised to assess the quality of clustering for market-basket data. As validated by both real and synthetic datasets, it is shown by our experimental results, with the taxonomy information, algorithm k-todes devised in this paper significantly outperforms the prior works in both the execution efficiency and the clustering quality as measured by information gain, indicating the usefulness of category-based adherence in market-basket data clustering. 相似文献