Agent-Enriched Data Mining: A Case Study in Brain Informatics

The brain informatics methodology supports systematic brain data measurement, management, and analysis. An agent-enriched peculiarity-oriented mining approach offers a case study of the BI method by transforming and mining human-brain data obtained from cognitive event-related potential experiments.     

When A Business Abandons A Data Mine: A Case Study

This case study examines the corporate expectations, conduct, and reactions surrounding a data-mining effort. Faced with the pressures of a still-restructuring business environment, even the executives who had initiated the effort failed to probe its value. They abandoned their commitment to prospecting and then the whole of the mining effort, despite its payback and promise. This article analyzes the project's failures and successes, offering guidelines that could make a difference in similar situations. If data mining is allowed to lose its strategic business focus, its potentialities will not be acknowledged.     

Program Derivation Using Data Types: A Case Study

The present paper discusses some issues in program synthesis by relating the idea of systematic program derivation with the concepts of data type and correctness of data representation. The notion of an incomplete definition of a data type at a high level of abstraction is introduced. The ideas are illustrated through an example previously discussed in the literature by D. Gries.     

HLA中的数据收集技术研究

HLA在提高可重用性和互操作性的同时使仿真数据复杂化,增加了仿真系统实现数据收集的难度。该文阐述了HLA影响数据收集的因素及各种数据收集方法的优点与不足,讨论了如何根据仿真目的来确定具体的数据收集方法以及数据收集实现中需要遵守的原则;针对一些仿真系统需要对邦员及模型内部数据进行收集的要求,在嵌入代码收集方法的基础上提出了分层对象数据收集方法,并给出了这一方法在水声对抗仿真系统中的应用。     

Improving Data Quality in Practice: A Case Study in the Italian Public Administration

Assessing and improving the quality of data stored in information systems are both important and difficult tasks. For an increasing number of companies that rely on information as one of their most important assets, enforcing high data quality levels represents a strategic investment aimed at preserving the value of those assets. For a public administration or a government, good data quality translates into good service and good relationships with the citizens. Achieving high quality standards, however, is a major task because of the variety of ways that errors might be introduced in a system, and the difficulty of correcting them in a systematic way. Problems with data quality tend to fall into two categories. The first category is related to inconsistency among systems such as format, syntax and semantic inconsistencies. The second category is related to inconsistency with reality as it is exemplified by missing, obsolete and incorrect data values and outliers.In this paper, we describe a real-life case study on assessing and improving the quality of the data in the Italian Public Administration. The domain of study is set on taxpayer's data maintained by the Italian Ministry of Finances. In this context, we provide the Administration with a quantitative reckoning of such specific problems as record duplication and address mismatch and obsolescence, we suggest a set of guidelines for setting precise quality improvement goals, and we illustrate analysis techniques for achieving those goals. Our guidelines emphasize the importance of data flow analysis and of the definition of measurable quality indicators. The quality indicators that we propose are generic and can be used to describe a variety of data quality problems, thus representing a possible reference framework for practitioners. Finally, we investigate ways to partially automate the analysis of the causes for poor data quality.     

Visualizing Multidimensional Lifelogging Data: A Case Study on MyMovieHistory Project

ABSTRACT

A large amount of time-series data has been frequently used to extract the useful patterns and trends and to visualize them for better understanding. This work is focusing on visualizing personal lifelogging data for tracking back to personal histories. Thereby, we present several similarity measures between multidimensional data at two different time points. For human evaluation, the method has been applied to MyMovieHistory (which a social recommendation system by storing personal movie logs) and tested with many users. Experimental results shown that the proposed visualization method and interfaces can help to understand user history.     

射频数据采集系统数据抽取算法研究

对射频数据采集系统中数据抽取算法进行了研究,阐述了数据抽取在射频数据采集系统中的重要作用、实现的结构方式及其特点。     

手掌静脉识别让单采血浆管理更完美

为了规范采供血浆行为,保障供浆员身体健康和血液制品的安全,国家规定各单采血浆站要建立供浆者身份识别系统,严禁跨区采浆和频采血浆.     

Building Customer Data Warehouses for A Marketing and Service Environment: A Case Study

The customer database, which once consisted of mere flat files of information used mainly to process new orders, has now become the source of all interactions with customers and usually involves building a data warehouse. the potential return on investment is promising, but an organization must have the knowledge and ability to build the data warehouse. This article provides a case study of a home service company's customer data warehouse project, as well as an approach to ensure the success of a data warehouse project, including the importance of having a clear mission, implementing effective business analysis, and gaining upper management support.     

A Critical Analysis of PSP Data Quality: Results from a Case Study

The Personal Software Process (PSP) is used by software engineers to gather and analyze data about their work. Published studies typically use data collected using the PSP to draw quantitative conclusions about its impact upon programmer behavior and product quality. However, our experience using PSP led us to question the quality of data both during collection and its later analysis. We hypothesized that data quality problems can make a significant impact upon the value of PSP measures—significant enough to lead to incorrect conclusions regarding process improvement. To test this hypothesis, we built a tool to automate the PSP and then examined 89 projects completed by ten subjects using the PSP manually in an educational setting. We discovered 1539 primary errors and categorized them by type, subtype, severity, and age. To examine the collection problem we looked at the 90 errors that represented impossible combinations of data and at other less concrete anomalies in Time Recording Logs and Defect Recording Logs. To examine the analysis problem we developed a rule set, corrected the errors as far as possible, and compared the original and corrected data. We found significant differences for measures such as yield and the cost-performance ratio, confirming our hypothesis. Our results raise questions about the accuracy of manually collected and analyzed PSP data, indicate that integrated tool support may be required for high quality PSP data analysis, and suggest that external measures should be used when attempting to evaluate the impact of the PSP upon programmer behavior and product quality.     

Windows下多线程的数据采集技术

介绍了电子万能材料试验机计算机改造项目中的数据采集技术,介绍了如何在Windows环境下驱动数据接口卡,以及利用多线程技术在Windows环境下实现高速、可靠的A／D数据采集。     

一种基于实时数据采集系统的数据处理方法

给出了实时数据采集系统的一种数据存储格式 ,并讨论了基于此格式的一般数据处理方法     

集成RFID模块的数据采集终端硬件设计

介绍了一个基于处理器S3C44B0X,并结合RFID(Radio Frequency Identification)技术的应用于生产管理中的数据采集终端。利用S3C44B0X构建的ARM7硬件开发结构,通过模块化硬件设计思想,设计了该终端的射频采集、人机交互界面模块、以及结合串口,以太网和基于片CC1020无线通讯的三种通讯方式等硬件主体电路以及外围接口电路。     

Cellular Census: Explorations in Urban Data Collection

Much of our understanding of urban systems comes from traditional data collection methods such as surveys by person or phone. These approaches can provide detailed information about urban behaviors, but they're hard to update and might limit results to "snapshots in time." In the past few years, some innovative approaches have sought to use mobile devices to collect spatiotemporal data. But little research has been done to develop and analyze the much larger samples of existing data generated daily by mobile networks. The most common explanation for this is that the challenge of data-sharing with the telecommunications industry has hampered data access. However, in early 2006, a collaboration between Telecom Italia, which serves 40 percent of the Roman market, and MIT's SKNSEable City Laboratory (http://senseable.mit.edu) allowed unprecedented access to aggregate mobile phone data from Rome. Here, we explore how researchers might be able to use data for an entire metropolitan region to analyze urban dynamics.     

Simplifying data access: the Energy Data Collection project

Using technology developed at the Digital Government Research Center, a team of researchers is seeking to make government statistical data more accessible through the Internet. In collaboration with government experts, they are conducting research into advanced information systems, developing standards, interfaces and a shared infrastructure, and building and managing pilot systems     

一种简单的数据采集与监控系统

介绍了在Windows98下采用Visual Basic 6．0实现数据采集与监控的一种简单方法。能在Windows平台上,通过灵活的操作,对下位机进行即时监控,数据保存和生成历史报表等。     

一种用于数据库搜索引擎的数据采集模型

本文在分析了现有数据采集方法基础上,提出一种用于分布式异构数据库搜索的数据采集模型。该模型采用ETL数据集成技术,并将广泛应用于企业资源管理的LDAP目录服务引入数据采集模型中,利用LDAP存储和管理描述数据源信息和采集规则的元数据,增强了数据集成的可扩展性和自动化程度。     

Open Source Data Collection in the Developing World

The ability to collect data is key to the success of many organizations operating in the developing world. Given the weaknesses of current tools and the surge in mobile phone growth, there's an opportunity for mobile and cloud technologies to enable timely and efficient data collection. This paper discusses Open Data Kit (ODK), a suite of tools that enable efficient and timely data collection on cell phones. ODK is designed to let users own, visualize, and share data without the difficulties of setting up and maintaining servers. The tools are easy to use, deploy, and scale. They also go beyond open source - they're based on open standards and supported by a larger community.     

Indeterminacy and Spatiotemporal Data: Basic Definitions and Case Study

For some spatiotemporal applications, it can be assumed that the modeled world is precise and bounded, and that also our record of it is precise. While these simplifying assumptions are sufficient in applications like a land information system, they are unnecessarily crude for many other applications that manage data with spatial and/or temporal extents, such as navigational applications. This work explores fuzziness and uncertainty, subsumed under the term indeterminacy, in the spatiotemporal context. To better illustrate the basic spatiotemporal concepts of change or evolution, it is shown how the fundamental modeling concepts of spatial objects, attributes, and relationships and time points and periods are influenced by indeterminacy and how they can be combined. In particular, the focus is on the change of spatial objects and their geometries across time. Four change scenarios are outlined, which concern discrete versus continuous change and asynchronous versus synchronous measurement, and it is shown how to model indeterminacy for each. A case study illustrates the applicability of the paper’s general proposal by describing the uncertainty related to the management of the movements of point objects, such as the management of vehicle positions in a fleet management system.     

数据采集系统在卷接包生产中的应用

卷接包数据采集系统可实现以下几个目标：卷接包工序各种设备现场数据的全面、准确、实时采集;现场管理的信息化,规范和强化现场管理：以数据采集为基础,搭建一个车间级的生产指挥调度中心,通过对设备运行情况、生产过程、产品质量的实时监控与分析,科学实时对生产进行指挥调度．确保生产的有序和可控：与MES系统等企业信息系统的全面数据集成,最终实现制造数字化的总体目标。根据系统的总体建设目标,该系统主要功能包括数据采集、现场管理、过程监控以及MES集成与执行。