The Data of macroeconomics It is a capital mistake to theorize before one has data Insensibly one begins to twist facts to suit theories, instead of theories to fit facts. Sherlock holmes Scientists, economists, and detectives have much in common: they all want to figure out what's going on in the world around them. To do this, they rely on both theory and observation. They build theories in an attempt to make sense of what they see happening. They then turn to more systematic observation to eval- uate the theories validity. Only when theory and evidence come into line do they feel they understand the situation

◼ Pattern Mining: A Road Map ◼ Pattern Mining in Multi-Level, Multi-Dimensional Space ◼ Constraint-Based Frequent Pattern Mining ◼ Mining High-Dimensional Data and Colossal Patterns ◼ Mining Compressed or Approximate Patterns ◼ Pattern Exploration and Application ◼ Summary

Chapter 3 Data types, Operators, and Expressions 1 Preparations 2 Data types 3 Constants and Variables 4 Type Conversions 5 Operators, and Expressions

第一节 统计学的几个基本概念 一.随机试验与随机事件 二.总体与样本 三.变量与资料 四. 误 差 五.频率与概率 第二节 统计工作的基本步骤 1.设计：design 2.资料搜集：collection of data 3.资料整理：sorting data 4.分析资料：analysis of data

一、集中趋势(Central Tendency) 1, What is the most typical value? The Average: typical value for quantitative data The Weighted Average: Adjusting for importance The Median: typical value for quantitative and ordinal data The Mode: typical value even for nominal data 2, What percentile is it? Extremes, Quartiles, and Box Plots The Cumulative distribution function displays the percentiles

ISA-based data acquisition and control board accept up to 8 analog inputs, produce 2 analog outputs, accept up to 67 digital (switch) inputs address, data and select lines. In addition, a spare AND gate and two spare NOR gates are made available, along with a small breadboarding area

Chapter 4 Data Structure Key points: useful terms and definitions of data structure Difficult points: Stack, queue, tree

在前面几章中,我们已经了解了如何使用ASP源代码在 Microsoft back office中插入 些应用程序和服务。在本章中,将通过使用数据协作对象( Collaboration Data Objects, CDO)来集中研究Ema应用程序和服务之间的相互作用。特别是,将介绍CDO的一个子集, 即用于NT服务器的数据协作对象( Collaboration Data Objects for Windows NT Server, CDONTS 先从CDO的演化发展以及CDO和 CDONTS的区别开始,然后再研究CDO和 CDONTS的发 展趋势 作为本章的主体,将研究 CDONTS对象模型,通过一些利用 CDONTS的应用程序例子来 总结一下 CDONTS。下一章将更进一步地研究CDO

Chapter 6 The Data Communications Interface Instructor: Dr. Tianshuang Qiu School of the Electronic and Information Engineering Fall of 2004

Chapter 3 Data Transmission Instructor: Dr. Tianshuang Qiu School of the Electronic and Information Engineering Fall of 2004