数据仓库、OLAP、数据挖掘之间的关系

通过对数据仓库、联机分析处理(OLAP)、数据挖掘技术在决策支持系统中相互关系的研究,认为数据仓库和OLAP之间,以及数据仓库和数据挖掘之间存在着单向支持的关系,提出了基于数据仓库的数据挖掘系统的原型框架设计;数据挖掘、OLAP存在着双向联系,即数据挖掘为OLAP提供一定的分析模式,OLAP可对数据挖掘的结果进行技术验证,并对数据挖掘给予一定的数据属性的提示.     

基于数据仓库的矿山企业诊断系统研究

矿山企业的诊断以大量、复杂的数据为基础，运用经济数学、计算机信息技术等为手段，以及时发现影响矿山企业发展的瓶颈，提高矿山企业的管理水平和经济效益。针对传统的数据库在数据处理上的不足，提出了基于数据仓库的矿山企业诊断系统，为推动基于信息系统的矿山企业诊断研究的进一步进展开辟了新途径。     

营销决策支持系统的数据仓库组织

针对某大型冶金企业营销决策支持系统的需求,结合实际建设开发工作,给出了基于数据仓库的营销决策支持系统结构,研究了建设过程中数据仓库的组织方法。     

选矿厂工艺设计智能决策支持系统初探

本文通过分析选矿厂工艺设计的特点，总结其计算机辅助市设计经验，初步提出了选矿厂工艺设计智能决策支持系统。该系统应充分做到定性分析和定量分析的有机结合，使得复杂的选矿厂工艺设计问题得到圆满的解决。     

构建基于Web的决策支持系统

作者介绍了基于HTTP连接访问OLAP服务器数据构建Web决策支持系统的方法,并以实例说明了具体的创建过程,包括在MS SQL Server 2000上建立数据仓库、用Analysis Services创建OLAP服务、在IIS上配置Web站点、设计提供PTS服务的Web页并给出了分析示例.在文中,讨论了HTTP连接IIS与分析服务器进行信息交换的机制,特别是解决Web页长时间运行不能返回数据的问题.实例运行结果表明,利用微软的解决方案,能够为企业快速建立基于Web的决策支持系统.     

包钢营销分析数据仓库数据组织模式的研究

以包钢营销分析数据仓库的构建为背景,对其主题确定、数据结构、数据处理技术、元数据管理提出了解决方案.     

氧化铝生产计算机专家辅助决策支持系统

氧化铝生产计算机专家辅助决策支持系统是针对混联法氧化铝生产的大型化、连续性和波动性大的特点而设计的，具有四个层次，包括设备、故障管理、设备故障调度咨询以及生产调度咨询等功能系统。它将MIS管理技术、专家系统和智能决策支持技术有机地合起来。     

三峡库区地质灾害数据仓库的设计与实现

在地学数据仓库的设计中,应当充分考虑地学数据自身的空间特点,采用区域维、时间维及属性维等多个维度,按不同主题所涉及的数据要求,进行相应的粒度与度最的定义,以建立不同特点的多维数据模型.以三峡库区地质灾害数据仓库的设计为例,对三峡库区时空范围各异的各类数据进行集成与融合,按5个主题对数据进行了归类.实验表明,该数据仓库可依不同灾害类型的、不同预警级别及不同分级对信息进行重组,能适应快速检索查询的需要;另一方面,利用库中的数据挖掘工具能在海量数据中挖掘地质灾害体的变化规律,从而使预测预报决策过程更加科学、准确、迅速.     

基于数据仓库的矿山决策支持系统研究

针对以往矿山决策支持系统（DSS）在数据管理上的不足,提出基于数据仓库的矿山DSS,构建了它的应用体系结构,给出了它的基本开发步骤和流程,为推动矿山DSS研究的进一步发展和实用化进程开辟了新的有效途径。     

KDD及其应用

综述了ＫＤＤ（数据库知识发现）的概念,应用,主要技术以及定位与意义等,并简要介绍了ＫＤＤ在宝钢的一些应用。     

包钢炼铁系统技术进步

简要介绍了包钢炼铁系统在原料、高炉操作、高炉装备等方面的发展及所取得的技术进步.     

The impact of depression on social economic decision making.

[Correction Notice: An erratum for this article was reported in Vol 119(3) of Journal of Abnormal Psychology (see record 2010-15289-020). In the article, the last revision received date printed on the final page of the article was incorrect due to an error in the production process. The correct publication dates are as follows: Received April 14, 2009; Revision received November 6, 2009; Accepted November 9, 2009.] Although the role of emotion in social economic decision making has been increasingly recognized, the impact of mood disorders, such as depression, on such decisions has been surprisingly neglected. To address this gap, 15 depressed and 23 nondepressed individuals completed a well-known economic task, in which they had to accept or reject monetary offers from other players. Although depressed individuals reported a more negative emotional reaction to unfair offers, they accepted significantly more of these offers than did controls. A positive relationship was observed in the depressed group, but not in controls, between acceptance rates of unfair offers and resting cardiac vagal control, a physiological index of emotion regulation capacity. The discrepancy between depressed individuals' increased emotional reactions to unfair offers and their decisions to accept more of these offers contrasts with recent findings that negative mood in nondepressed individuals can lead to lower acceptance rates. This suggests distinct biasing processes in depression, which may be related to higher reliance on regulating negative emotion. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Quality of decision making and group norms.

Two studies investigated the impact of group norms for maintaining consensus versus norms for critical thought on group decisions in a modification of the biased sampling paradigm (G. Stasser & W. Titus, 1985). Both studies showed that critical norms improved the quality of decisions, whereas consensus norms did not. This effect appeared to be mediated by the perceived value of shared and unshared information: Consensus norm groups valued shared information more highly than critical groups did, and valence was a good predictor of decision outcome. In addition, the 2nd study showed that the group norm manipulation has no impact on individual decisions, consistent with the assumption that this is a group effect. Results suggest that the content of group norms is an important factor influencing the quality of group decision-making processes and that the content of group norms may be related to the group's proneness for groupthink. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

The emergence of coherence over the course of decision making.

Previous research has indicated that decision making is accompanied by an increase in the coherence of assessments of the factors related to the decision alternatives. In the present study, the authors investigated whether this coherence shift is obtained before people commit to a decision, and whether it is obtained in the course of a number of other processing tasks. College students were presented with a complex legal case involving multiple conflicting arguments. Participants rated agreement with the individual arguments in isolation before seeing the case and after processing it under various initial sets, including playing the role of a judge assigned to decide the case. Coherence shifts were observed when participants were instructed to delay making the decision (Experiment 1), to memorize the case (Experiment 2), and to comprehend the case (Experiment 3). The findings support the hypothesis that a coherence-generating mechanism operates in a variety of processing tasks, including decision making. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Four techniques of group decision making under uncertainty.

4 techniques of group decision-making—authoritarian, leader suggestion, census, and chairman—under risk and uncertainty were compared using a survival situation with 45 aircrews. "1. In a conflict situation, when a group discussion method… is involved, the members' reactions to the alternatives are relatively undifferentiated in contrast to the condition in which the leader alone makes the decision… . 2… . the groups appear to be least favorably disposed toward the authoritarian technique of decision-making… . 3. When the decision-making procedure is group centered the group reaches a decision involving greater personal risk to the members." (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Impacts on decision making of executives: Probabilities versus outcomes.

The determinants of decision making of executives are of special interest for companies. For a long time choices have been investigated based on theories that assume an equal impact of expected outcomes and expected probabilities (Von Neumann and Morgenstern 1953, Savage 1954, Kahneman and Tversky 1979). The influence of probabilities in decision processes is, however, questioned by a growing body of research (Rottenstreich and Kivetz 2006, Shapira 1995, March and Shapira 1987, 1992). To monitor the information acquisition process of board members and high-ranking executives in the German insurance industry we conducted 51 personal interviews, which included computer-aided simulations. These simulations clearly and objectively support former statements of executives (Shapira 1995) that they focus more on the amount of decision outcomes than on the corresponding probabilities. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Integrating fMRI with psychophysiological measurements in the study of decision making.

Neuroimaging techniques have recently been used to examine the neural mechanism of decision making. Nevertheless, most of the neuroimaging studies overlook the importance of emotion and autonomic response in modulating the process of decision making. In this article, the authors discuss how to integrating functional magnetic resonance imaging (fMRI) with psychophysiological measurements in studying decision making. They suggest that psychophysiological data would complement with fMRI findings in providing a more comprehensive understanding about the physiological and neural mechanisms of decision making. Also, this technique would yield valuable information in examining the interplay among emotions, autonomic response, and decision making. The discussion is presented in a tutorial format with concrete technical recommendations for researchers who may consider adopting the technique in their study of decision making. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Clinical decision making in the prediction of falls.

Objective: Examine rehabilitation professionals' capacity to identify risk factors for patient falls. Design: Survey study. Setting: Three academic medical center rehabilitation departments. Participants: Fifty-six rehabilitation specialists representing disciplines typically involved in patient care, including physiatry and occupational, physical, recreation, and speech therapy. Measures: A 2-part, self-report questionnaire with spontaneous and cued rank-order listing of factors related to fall risk. Results: Clinicians did not consider advanced age and history of falling when spontaneously delineating risks for falls. The importance of fall history, but not of advanced age, was recognized through cueing. Conclusions: Clinicians appear aware of strong predictors of fall risk but require cueing to consistently use them. Cueing increased hypothetical predictive accuracy, although clinicians still downplayed some of the most salient predictive factors. Staff education regarding validated fall risk factors and potential errors in clinical decision making can improve patient care. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Distribution area demarcation for logistic centers under geographical information system decision support system

Demarcating distribution area of goods is often guided by the rule of thumb by business proprietors.However,this method seems to be unsuitable when the demand points increase to a certain large extent.The present work attempted to convert the problem of distribution area demarcation into a localized problem of warehouseing and networking,and tried to establish district-based planning mode based on location based heuristic (LBH).Two methods were used in this study:1) the manual method to construct the mathematical model and conduct simulation;2) the automatic method using TransCAD software of geographical information system (GIS) for simulation.By comparing the effects of the two methods,the research provides theoretical support for business proprietors to demarcate the distribution area rationally with the application of GIS system.The results show that GIS has very good graphics construction function to replace complex text,and the automatic demarcating mode with human-machine interaction provides a good business decision-making support.