基于数据挖掘的煤矿瓦斯爆炸安全预警管理系统研究

采用数据挖掘技术对安全监测数据进行处理,提取隐藏在其中的有用信息并分析规律,运用信息对新的监测数据进行融合,以期及时了解和发现事故的状态和趋势。     

基于自组织数据挖掘的电子商务客户流失预测模型

为解决电子商务客户流失预测中的高维、非线性问题,本文将自组织数据挖掘理论(SODM)引入客户流失预测,提出一种新颖的基于自组织数据挖掘的电子商务客户流失预测模型。该方法将自组织数据挖掘中的客观系统分析算法(OSA)和改进分组数据处理网络(GMDH)集成起来进行电子商务客户流失预测。首先利用OSA算法选择出重要的电子商务客户流失关键属性,然后将训练样本送入改进GMDH网络进行学习和训练,进而对测试样本客户流失状态进行判别。将该方法应用于某网上商店客户流失预测实证分析,预测结果验证了该方法对包含多种因素影响的电子商务客户流失预测具有优势,基于自组织数据挖掘的电子商务客户流失预测模型具有较强的实用性和可操作性。     

新时期优化高职矿业安全学科建设的实践与探索

新时期依托河南煤化集团服务地方经济的办学特点决定了我院矿业工程专业应以安全为特色领域,突出以人为本的矿业安全科技特色。从课程体系的设置、人才培养的途径等方面对建立高职矿业工程安全特色教育教学进行了探讨。     

中国矿业结构优化和调整方向研究

通过全面分析中国矿业发展的特点,指出矿业存在采选业和矿产品加工业发展趋势不同,矿产品加工程度有所提升及能源矿业占主要地位;分析了矿业生产规模结构、矿业技术结构、矿山企业规模结构、矿产品结构等方面存在的问题及其原因,最后提出矿业结构优化和调整的对策建议。     

煤炭资源开发与基本农田保护的矛盾及其协调

随着经济的发展,煤炭需求越来越大,但煤粮复合主产区面积广大,而基本农田是粮食生产的基本保障,为此分析了煤炭资源开发和基本农田保护之间的矛盾及其成因,试图利用煤粮复合区的土地以协凋能源开发与粮食生产的矛盾。提出编制协调规划,从空间和时间角度调和二者之间的矛盾等相应建议。通过建立煤炭储备保护区、提高基本农田占用标准、保证基本农田占补平衡来协调煤炭资源开发与基本农田保护的空间布局;通过时间安排,进行动态复垦,实现煤炭开采与基本农田保护的协调发展。     

树立科技矿政理念改革矿政管理制度——以资源储量消耗计征矿产资源税费

科技矿政理念的基本含义就是努力提高矿政管理的科技含量,遵循地质矿产规律,依靠科技进步显著提升我国矿产资源保护与利用水平.推动科技矿政管理进程,首先要从资源储量管理方面夯实基础,建立健全资源储量实物账户与价值账户.进而改革矿产资源权益分配方式,以资源储量消耗计征矿产资源税费.相应改革矿业权评估制度.     

基于纵向一体化的矿业探采一体化研究

矿业探采一体化本身是探矿主体或采矿企业纵向一体化的过程.探采一体化具有提高资源的利用效率、节约交易费用、降低市场风险、扩大规模效应、提升企业国际竞争力、促进矿业可持续发展的六大优势.受制于我国传统地勘体制和矿业市场环境的限制,我国矿业发展面临着地勘行业严重萎缩,探矿业滞后采矿业,探采不平衡,探采一体化推进缓慢等诸多问题.有效解决这些问题,需要通过明晰政府角色定位、创新机制和体系、优化市场环境,加快推进矿业探采一体化.     

论数字挖掘技术在图书馆借阅系统中的应用

本文论述了数据挖掘技术在图书馆借阅系统的应用,通过对原有管理系统现有数据的整理统计,对满足要求的数据使用K-means算法进行分割,由分类后的数据可以合理地调整不同读者群的流通图书借阅方法,优化图书资源的使用状况。     

The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres

Among distribution centre operations, order picking has been reported to be the most labour-intensive activity. Sophisticated storage assignment policies adopted to reduce the travel distance of order picking have been explored in the literature. Unfortunately, previous research has been devoted to locating entire products from scratch. Instead, this study intends to propose an adaptive approach, a Data Mining-based Storage Assignment approach (DMSA), to find the optimal storage assignment for newly delivered products that need to be put away when there is vacant shelf space in a distribution centre. In the DMSA, a new association index (AIX) is developed to evaluate the fitness between the put away products and the unassigned storage locations by applying association rule mining. With AIX, the storage location assignment problem (SLAP) can be formulated and solved as a binary integer programming. To evaluate the performance of DMSA, a real-world order database of a distribution centre is obtained and used to compare the results from DMSA with a random assignment approach. It turns out that DMSA outperforms random assignment as the number of put away products and the proportion of put away products with high turnover rates increase.     

Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent,Belgium

The rapid evolution of information and positioning technologies, and their increasing adoption in tourism management practices allows for new and challenging research avenues. This paper presents an empirical case study on the mining of association rules in tourist attraction visits, registered for 15 days by the Bluetooth tracking methodology. This way, this paper aims to be a methodological contribution to the field of spatiotemporal tourism behavior research by demonstrating the potential of ad-hoc sensing networks in the non-participatory measurement of small-scale movements. An extensive filtering procedure is followed by an exploratory analysis, analyzing the discovered associations for different visitor segments and additionally visualizing them in ‘visit pattern maps’. Despite the limited duration of the tracking period, we were able to discover interesting associations and further identified a tendency of visitors to rarely combine visits in the center with visits outside of the city center. We conclude by discussing both the potential of the employed methodology as well as its further issues.