基于隐马尔可夫链模型的电子商务用户兴趣导航模式发现

用户智能导航模式发现已经成为电子商务领域中的一个研究热点。为此,结合电子商务站点用户网页访问时间与网页关键字信息对用户访问兴趣进行定义,借鉴经典隐马尔可夫链模型,建立用户兴趣导航模型。给出在此模型中用户兴趣导航路径的发现方法及算法描述。通过模拟数据、某B2C在线图书销售站点中的真实数据以及与经典方法的对比等方面的实验验证,结果表明：给出的模型方法能够准确、高效地找到带有用户访问兴趣的关联路径信息。这个方法可以作为一种应用于电子商务领域更为有效、实用的智能导航发现工具。     

Understanding the epidemiology of foreign body injuries in children using a data-driven Bayesian network

Bayesian networks (BNs) are probabilistic expert systems which have emerged over the last few decades as a powerful data mining technique. Also, BNs have become especially popular in biomedical applications where they have been used for diagnosing diseases and studying complex cellular networks, among many other applications. In this study, we built a BN in a fully automated way in order to analyse data regarding injuries due to the inhalation, ingestion and aspiration of foreign bodies (FBs) in children. Then, a sensitivity analysis was carried out to characterize the uncertainty associated with the model. While other studies focused on characteristics such as shape, consistency and dimensions of the FBs which caused injuries, we propose an integrated environment which makes the relationships among the factors underlying the problem clear. The advantage of this approach is that it gives a picture of the influence of critical factors on the injury severity and allows for the comparison of the effect of different FB characteristics (volume, FB type, shape and consistency) and children's features (age and gender) on the risk of experiencing a hospitalization. The rates it consents to calculate provide a more rational basis for promoting care-givers’ education of the most influential risk factors regarding the adverse outcomes.     

传统采矿专业教学中引入GIS的研究

矿山数据既包含属性数据,又包含空间定位信息,利用GIS技术可以实现对这两种数据的统一管理,推动数字矿山建设。GIS技术在矿业领域具有越来越重要的位置,将GIS技术引入到采矿专业的教学中,将拓宽学生知识面,提升学生就业率。     

采矿专业《爆破工程》教学改革

爆破工程是采矿专业的主要专业基础课,本文分析了采矿专业《爆破工程》课程教学存在的问题,然后分别就其教学内容、教学方法和教学手段等三方面的教学改革进行了详细论述。认为本课程内容上应结合采矿专业,注重理论联系实践;在教学中要多结合实例,提高学习兴趣,以取得良好的教学效果。     

构建采矿工程专业学生实践能力培养体系

从教学、实践平台建设、工程设计素质训练、创新培养模式四个方面,探讨了四位一体多措并举的实践能力培养体系建设,从而提高学生解决专业问题的实践能力,进一步加强高校实践育人工作。     

我国矿难防控刑法机制研究

矿难防控是我国建设社会主义和谐社会伟大进程中必须高度重视的重要问题。刑法措施作为防控矿难的最后手段和措施,在矿难防控体系中应当充分发挥其强大的规范功能和保护功能。我国现行矿难防控刑法机制在刑法结构、功能、适用中存在诸多不足。为了形成良性的矿难防控刑法机制,必须通过增设新罪、实现刑法与行政法的良好衔接,增设过失危险犯罪,增加单位犯罪主体,丰富刑罚种类等方式完善矿难相关犯罪的立法,通过理顺刑法运作过程、改进刑事司法来实现。     

Investigation of the diesel consumption for trucks at an overburden stripping area by SPC study

This study examined whether diesel consumption used by trucks at a stripping area is controlled or not. The factors affecting diesel consumption were also investigated and some necessary solutions were presented. Diesel consumption was observed with the aid of control graphs. Abnormal situations in the diesel consumption were explored by means of Shewhart control graphs. The factors which are out of control were also presented in a cause–effect diagram, and suggestions for improvement were proposed. It has been determined that the main effect of the diesel consumption is the daily run number of the trucks. The main factors affecting the daily run number were also investigated.     

Novel quadratic programming approach for time series clustering with biomedical application

Fundamental problems in data mining mainly involve discrete decisions based on numerical analyses of data (e.g., class assignment, feature selection, data categorization, identifying outlier samples). These decision-making problems in data mining are combinatorial in nature and can naturally be formulated as discrete optimization problems. One of the most widely studied problems in data mining is clustering. In this paper, we propose a new optimization model for hierarchical clustering based on quadratic programming and later show that this model is compact and scalable. Application of this clustering technique in epilepsy, the second most common brain disorder, is a case point in this study. In our empirical study, we will apply the proposed clustering technique to treatment problems in epilepsy through the brain dynamics analysis of electroencephalogram (EEG) recordings. This study is a proof of concept of our hypothesis that epileptic brains tend to be more synchronized (clustered) during the period before a seizure than a normal period. The results of this study suggest that data mining research might be able to revolutionize current diagnosis and treatment of epilepsy as well as give a greater understanding of brain functions (and other complex systems) from a system perspective. This work was partially supported by the NSF grant CCF 0546574 and Rutgers Research Council grant-202018.     

蒙元的金银开采与管理政策演变

从蒙古灭金前后、统一中国北方以及入主中原这三个时间段对元朝金银矿冶的分布与开采进行了时段性研究以及区域性的探讨;蒙古灭金前的金银开采,以开采统治下的西夏与花剌子模等地区的金银矿藏为主,而灭金后则旨在恢复和继承金朝的金银矿产资源;1234年至1278年前后,蒙元帝国在统治的下中原汉地初步建立了金银矿冶管理制度,恢复开采疆域内的金银矿藏,然而此时蒙元的金银开采仍主要依靠云南地区;元统一中国后,统一政权的建立使得国家完善了对中国南北方疆域内金银矿冶的恢复、开发与徵课,并使元朝的金银开采基本上恢复了前朝的水平。     

基于GIS的宁夏人口经济压力空间分布研究

空间分析是深入探索空间特征的重要技术,因此作者利用空间分析中的主成分分析方法和空间自相关分析对宁夏人口经济压力分类及其分布关系进行了深入探索,结果表明,宁夏人口经济压力从北部向南部逐渐增大,在空间分布关系上人口经济压力呈现明显的组团模式,北部区域以银川为核心呈低—低关联模式,南部区域以原州区为核心呈高—高关联模式。