A clustering method to distribute a database on a grid

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.     

An efficient algorithm for mining frequent inter-transaction patterns

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.     

Geotechnical study for optimizing the slope design of a deep open-pit mine,India

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.      

Development of materials database system for cae system of heat treatment based on data mining technology

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.     

高速公路水毁成因及防治措施

从高速公路水泥混凝土路面裂缝，挖方地段护面墙开裂、拦水带与路面衔接部位裂缝，急流槽水泥砂浆勾缝脱落等方面分析了高速公路水毁的成因，并提出了切实可行的防治措施，保证了高速公路的正常运营。     

Adherence clustering: an efficient method for mining market-basket clusters

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.     

运用炸药混装车技术开采堆石坝级配料

葛洲坝集团公司成功地将乳化炸药混装车技术引入三峡水电工程的土石方开挖中，取得了良好的效益，在国内还未曾有人将该技术应用于堆石坝级配料开采。本文结合清江水布垭工程爆破试验，对运用混装车技术开采堆石料进行了研究。事实证明：把混装车技术引入堆石坝级配料开采可大大提高开采强度，降低工程成本；增加细颗粒石料，优化堆石料级配；爆破效果良好，安全可靠。     

高产高效综采工作面几个技术问题的探讨

在总结东北区综采工作面生产经验的基础上，论述了实现高产高效综采工作面的有关技术问题和解决方法。     

平面联接固定结合部动力学模型的一种建模方法

机械结构结合部精确建模是对含结合部的机械结构进行动态分析和优化设计的关键问题之一。文章主要研究块体结构和平板由螺栓联接后构成的固定结合部的动力学建模问题。将结合部区域的刚度特性用结合部的材料机械特性参数等效表达,提出了虚拟接触材料的结合部刚度表达模型。通过模态实验和模型修正识别出不同结合面工况下虚拟接触材料的弹性模量,建立了含结合部动力特性的有限元模型。该模型可方便用于含结合部结构的有限元计算,经试验验证满足实际工程应用要求。     

数据挖掘在现代作战中的应用研究

随着装备技术的发展,现代作战具有作战单元种类数量多、攻防战术复杂、干扰性欺骗性数据充斥等特点,尤其是协同作战能力和数据交换能力逐步增强,以上都使得现代作战中涉及的信息呈现＂海量＂特征。为了取得理想的作战效果,指挥员必须对以上海量信息进行处理,从中提取出有用的信息和知识。近年来迅速发展的数据挖掘技术,在处理海量信息方面具有非常明显的优势。文章在介绍现代作战特点和数据挖掘技术的基础上,对数据挖掘技术在现代作战中的应用做了初步的研究。