Multi‐scale navigation of large trace data: A survey

Dynamic analysis through execution traces is frequently used to analyze the runtime behavior of software systems. However, tracing long running executions generates voluminous data, which are complicated to analyze and manage. Extracting interesting performance or correctness characteristics out of large traces of data from several processes and threads is a challenging task. Trace abstraction and visualization are potential solutions to alleviate this challenge. Several efforts have been made over the years in many subfields of computer science for trace data collection, maintenance, analysis, and visualization. Many analyses start with an inspection of an overview of the trace, before digging deeper and studying more focused and detailed data. These techniques are common and well supported in geographical information systems, automatically adjusting the level of details depending on the scale. However, most trace visualization tools operate at a single level of representation, which are not adequate to support multilevel analysis. Sophisticated techniques and heuristics are needed to address this problem. Multi‐scale (multilevel) visualization with support for zoom and focus operations is an effective way to enable this kind of analysis. Considerable research and several surveys are proposed in the literature in the field of trace visualization. However, multi‐scale visualization has yet received little attention. In this paper, we provide a survey and methodological structure for categorizing tools and techniques aiming at multi‐scale abstraction and visualization of execution trace data and discuss the requirements and challenges faced to be able to meet evolving user demands.     

图形软件包XGL的设计方法与结构

本文概要地介绍了面向对象程序设计的思想和方法。给出了Ｓｕｎ平台上的图形软件包ＸＧＬ的面向对象设计方法、结构及其实现。     

Minimal data dependence abstractions for loop transformations: Extended version

Many abstractions of program dependences have already been proposed, such as the Dependence Distance, the Dependence Direction Vector, the Dependence Level or the Dependence Cone. These different abstractions have different precisions. Theminimal abstraction associated to a transformation is the abstraction that contains the minimal amount of information necessary to decide when such a transformation is legal. Minimal abstractions for loop reordering and unimodular transformations are presented. As an example, the dependence cone, which approximates dependences by a convex cone of the dependence distance vectors, is the minimal abstraction for unimodular transformations. It also contains enough information for legally applying all loop reordering transformations and finding the same set of valid mono- and multi-dimensional linear schedules as the dependence distance set.     

规格说明语言NUSL及其支撑系统

本文简述了形式规格说明技术的意义,与原型技术的关系,并叙述了规格说明语言NUSL的特点、结构和使用,然后介绍了NUSL支撑系统.     

数据发掘在服装设计中的应用

本文根据一服装企业的实际数据采用数据发掘手段提取出一系列规则,用以描述颜色搭配与款式受欢迎间的规律。挖掘过程中主要采用了按模型聚类的方法,这一方法获得的聚类结果简单直观。对聚类结果采用约简等简单处理后可获得一组实用的颜色搭配规则。类似的数据发掘手段在服装设计各方面有广泛的应用前景。     

DSM系统中共享存储抽象机制的实现

虽然ＤＳＭ系统相互之间差异很大，但ＤＳＭ存在一个共同特征，即提供共享存储抽象机制。本文分析了ＤＳＭ系统共享存储抽象机制的实现，总结了各种不同的实现途径、实现细节及各自的优缺点，指出了ＤＳＭ发展的趋势及一些亟待解决的问题。     

Abstraction of levels of abstraction

The notion of level of abstraction (LoA) is one of the foundations of the Floridi's Philosophy of Information. It also serves for many practical purposes as in information ethics. But the notion of abstraction is not new; it has been given many different meanings in various fields, especially in scientific disciplines and, in particular, in computer science. Our purpose here is to examine the use of abstraction in Floridi's works in conjunction with some of the meanings of abstraction in computer science. The article is divided into five sections. After a general introduction to the Floridi's method of abstraction (MoA) in Section 1, Section 2 revisits Floridi's definition of abstraction and Section 3 gives the different senses of abstraction in computer science. The Section 4 compares them with the Floridi's LoAs and proposes to generalise the Floridi's approach to abstraction using an abstraction of the LoAs, while Section 5 concludes on what we think to be some new arguments in favour of MoA and LoA.     

基于规则的属性泛化算法在聚落考古中的应用--以姜寨遗址一期文化为例

文章首先给出了概念层次等基本定义,明确了基于规则的面向属性的泛化算法,然后利用姜寨一期的属性数据和图形数据,进行了多个层面的泛化数据挖掘,最后对结论展开了考古学的分析解释。     

智能数据分析在医学领域的应用综述

回顾了智能数据分析方法在医学领域中的应用情况，目的是缩小医学领域数据采集和数据理解之间的鸿沟。介绍了智能数据分析技术的发展情况，提出了智能数据分析的分类方法，选择介绍了一些重要的智能数据分析方法及其在医学领域中的应用。     

半结构化数据到结构化数据的模式抽取

在分析现有的半结构化数据的存储方式及存在的问题基础上,引入了小集合属性、集合属性、聚类集合、模板集合、父属性序列等概念,借助映射表达语言STORED,提出了一种基于数据挖掘的半结构化数据到结构化数据的模式抽取的方法。