查询词典 data mining

This paper summarizes the background and advantage of data mining, as well as the significance of data mining in the scientific research management of colleges and universities firstly, and then discusses the theory of data mining, association rules and the ideas of main algorithm, analyzes the classic Apriori algorithm and its existing problems as well as the basic solutions. After that, this paper proposes Multi-Dimensional Apriori algorithm which is designed specially for the mining of this paper; Then describes the structure of scientific research data mining system, defines subject-oriented mining tasks, including: mining the data about research projects, mining the data about papers, mining the data about academic writings. The association mining process is implemented by programing, a number of stimulating association rules are found, interpreted and analyzed.

本文首先综述了数据挖掘的研究背景、意义以及数据挖掘技术在高校科研管理中的应用现状和意义，然后在对数据挖掘相关理论、关联规则思想及主要算法进行讨论，分析经典Apriori算法及其存在的问题、基本解决方案后，提出了适合本文挖掘的多维Apriori算法的设计方案，并应用于本文挖掘中；接着论文介绍了科研数据的关联挖掘系统的结构，确定了面向主题的挖掘任务，包括：科研项目信息的挖掘、论文信息的挖掘、学术专著信息的挖掘等；设计了关联规则的实施过程，并通过程序编码得以实现，获得了多条有启发性的关联规则，并对其进行了解释与分析。

This text aims at the difference of several representative geology conditions in Yang Shui mining area, carried on the primary election to the mining method of Yang Shui mining area, introduced the new theories of numerical optimization choice of mining method that are fuzzy mathematics and artificial neural network etc, based on the existing mining methods that are feasible, adopt the fuzzy optimization choice principle of flexible neural networks, and synthesize several experts and fieldworkers' opinion, built up the related mathematical model and revised model, carried on processing of programming through computer, thus established each optimization mining project under several representative geology conditions in Yang Shui mining area, and carried on optimizing to the existent unreasonable parameter in mining project;have the great significance to aim at each kind of geology condition for each mining area to adjust the mining method in time in the course of mining, abandon chronically unreasonable mining method, full reclaim the mine's resource, lower the dilution rate、 loss rate of mineral mining, raise the production capacity of stope and economic benefit of mine.

本文针对洋水矿区几种典型地质条件差异，对洋水矿区采矿方法进行了初选，介绍了模糊数学和人工神经网络等采矿方法数值优选新理论，在现有可行性采矿方法的基础上，采用弹性神经网络模糊优选原理，并综合多位专家及现场工作者的意见，建立了相关的数学模型及修正模型，通过计算机进行编程处理，从而确立了洋水矿区几种典型地质条件下各自的最优采矿方案，并针对采矿方案中存在的不合理参数进行了优化，为各矿区针对各类地质条件在采矿过程中及时调整采矿方法，摈弃习惯性的不合理采矿方法，充分回收矿山资源、降低矿石开采的贫化率、损失率，提高采场生产能力以及矿山经济效益具有重大意义。

The data model is the data source for the integrated mining which is built by using Snow Flake Schema. The integrated mining model consists of local mining and global mining. That is to say, firstly, monitoring cell mining, point mining and monitoring data mining are fulfilled respectively, then global mining model is run to opimize the monitoring process. The paper brings forward how to build up these models and the framework, and what variables should be delivered.

首先，采用雪花结构建立了数据模型构架，为流程挖掘提供数据底层；然后建立了监测流程综合挖掘模型构架，给出了监测单元挖掘、监测点位挖掘和监测数据挖掘，以及综合挖掘的模型函数和参数，以局部优化和全局优化的思路实现了土壤环境监测全流程优化。

In orde to obtain system optimization in high efficiency production and operation safety, the microcosmic problem of goaf treatment was brought into the creative design of mining method and the synergism of two problems was studied. Firstly, in view of the occurrence characteristics and mining conditions of catacalstic ore section of orebody No. 105 in Gaofeng mine in Guangxi province, considering the adaptability to different scale goafs in the ore section, based on mining environment reconstructing idea and continuous mining mode, a new mining method (mining environment reconstructing non-pillar sublevel-strip continuous mining method) was put forward. Then, some repr, esentative goafs were selected and their stabilities were calculated by discrete element method on the basis of differences of goaf scale, surrounding conditions and situ stress field. At last, the mining layout was adjusted on the basis of goafs stability analysis and the goafs were adjusted as a part of cutting engineering, blasting space or stope, so as to determine all kinds of goafs treatment schemes.

摘 要：为在生产高效和作业安全上取得系统整体最优，将碎裂矿段的空区处理微观问题纳入采矿方法创新设计宏观问题中，开展2种问题的协同研究：首先，针对广西高峰矿105号矿体碎裂矿段的赋存特点和开采技术条件，考虑对各种规模空区适应性，基于采矿环境再造和连续采矿理论，提出采矿环境再造无底柱分段分条连续采矿法；然后，根据采空区规模、围岩状况和原岩应力场等条件的差异，在所有采空区中选择具有代表性的空区，运用离散元程序对其稳定性进行计算分析；最后，在稳定性分析的基础上，灵活调整开采布局，将采空区调整为部分切割工程、自由爆破空间或采场，从而确定出各种规模空区的处理方案。

Therein, by adopting the ISCSI protocol, the local data storage sub-system constructs the circuital access pattern of the taxation data. The system eliminates the unbalance phenomena between the capability and the demand of the data storage under the traditional bus storage pattern. Under the centralized control pattern, it provides the information access and shares service with the great data volume, the high speed of data transportation and the high availability for the taxation system. By remotely building a backup data center that is totally consistent with the local data center on the IT foundational fabric, the remote data backup sub-system uses the geographical dispersibility of the remote data center and adopts the LVR software replication technology. It implements the synchronous data replication between the local and remote data center, changes the zero standing capability on the great disaster event under the single data center pattern and raises the standing capability on the disaster events for the application and data in the taxation system. By adopting the dynamic replication technology between the heterogeneous data source, the heterogeneous data conformity sub-system successfully shields the various heterogeneous ingredients of the present system.

其中，本地数据存储子系统采用ISCSI协议构建了税务数据网络存储模式，消除了传统总线型存储模式下数据存储性能和存储需求之间的失衡现象，在集控管理模式下为税务系统提供了超大数据容量、高数据传输率和高可用性的信息存取和共享服务；远程数据备份子系统通过在异地构建一个和本地数据中心IT基础架构完全一致的备份数据中心，利用远程数据中心在地理上的分散性，基于LVR软件复制技术实现了本地和远程数据中心之间信息的实时同步，改变了过去单一数据中心模式下对大型灾难事件的零抗灾能力，提高了税务系统内应用和数据对灾难性事件的抵御能力；异构数据整合子系统采用异类数据源动态复制技术，成功屏蔽了目前系统内存在的各项异构成分。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

Having made a numerical simulation for remote protective layer mining by the RFPA-GAS system in Huainan mining area, and analyses the distribution law of abutment pressure over the coal seam while mining, the influence of mining on permeability of protected coal seam ,and the destress mechanism for remote protective layer mining by numerical simulation ways in Huainan mining area.

应用含瓦斯煤岩气固耦合模型系统对淮南远距离保护层开采进行了数值模拟，分析了采动过程中煤层上支承压力的分布规律以及采动过程对被保护煤层透气性的影响，用数值模拟方法分析了淮南远距离保护层开采卸压机理。

This article is based on the strip mining of steeply dipping seam under villageof 230 mining area in Ge Ting coal mine of ZiBo mining group, in view of the steeply dippingseam mining under the mining geological condition of 230 mining area, we use the limittheory, the A.H.

本文是在淄博矿业集团葛亭煤矿230采区村庄下大倾角煤层条带开采实践基础上，针对230采区大倾角煤层开采的采矿地质条件，利用极限理论和A.H。

Moreover, A hybrid algorithm, ALHybrid, which is made of the algorithm LIDBSO and the algorithm AprioriIpv, is designed. Two algorithm, MQC_Apriori and MQC_LIDBSO, are given to mining multiple level quantitative association rules with item constrains. Two algorithm, PMARⅡ and PMARⅢ, which are based on different sequential mining algorithms, are given for parallelling mining association rules. In order to solve the mining association rules problem when we add a set of data to a database or delete a set of data from a database, two incremental updating algorithm, EUAR and EUAR, are given. Three incremental updating algorithm for association rules mining, DIUAⅠ, DIUAⅡ and DIUAⅢ, are dedigned to solve the three kinds of association rules incremental updating problem in distributed databases.

另外，文中还设计了一个算法LIDBSO与算法AprioriIpv相结合的混合采掘算法ALHybrid；对于多层次、带约束、多值属性关联规则的采掘问题，给出了两个采掘算法：算法MQC_Apriori和算法MQC_LIDBSO；在关联规则的并行采掘方面，还设计了两个基于不同顺序关联规则采掘算法的并行算法：算法PMARⅡ和算法PMARⅢ；在关联规则的增量式更新问题上，还给出了两个改进算法：算法EUAR和算法EUARˉ，分别用于解决当数据库增加或删除一个数据集合时的关联规则增量式更新问题；针对分布式数据库中的关联规则增量式更新的三类问题，提出了三个增量式更新算法：算法DIUA Ⅰ、算法DIUAⅡ和算法DIUAⅢ。

The association rules of the traditional data mining technique are used to mining higher appearance frequency and support for itemsets. If the association rules are applied to mining the outbreak symptom of excrescent disease, the support of partly outbreak symptom not high will be ridded during the mining process. The reason is that the number of excrescent disease patients is less than the number of ordinary patients. In addition, the outbreak symptom of excrescent disease may have the successively order of time happened, for example, symptom B will just take place sometime of interval later after symptom A. The data mining techniques that generally direct against the higher appearance frequency itemsets and only consider the single dimensional sequential pattern cannot totally search the pattern of outbreak symptom of excrescent disease, and cannot also provide related reference information to prescribe medicine for nursing staff at that time.

由於传统资料探勘技术中之关联规则是用来针对资料集合中出现频率较高亦是支持度高之项目集合进行探勘，若是应用於异常疾病发病徵状样式之探勘，由於异常疾病病患人数不及於普通疾病病患人数之缘故，因而造成部份发病徵状之支持度不高，将会在探勘过程中被去除，另外这类异常疾病之发病徵状可能会有先后发生时间之顺序，例如症状A发生后间隔一段时间后才会发生症状B，所以一般针对高频项目集合且只考虑到单一顺序维度之资料探勘技术，并无法完全找寻出这类异常疾病发病徵状之样式，也就无法在第一时间内提供医护人员对症下药之相关参考资讯。

The circulation, consumption and reproduction of the trilogy have not only testified to its historical significance and literariness, but also invested it with new meanings.

该三部曲的流通、消费与再生产不仅验证了其历史意义及文学性，而切还赋予它以新的意义。

If he thought that he could buy me off, he would be wrong.

如果他认为他可以收买我，那他就大错特错了。